Data processing device, magnetic recording and playback device, and magnetic recording and playback system

Abstract

To provide a data processing device, a magnetic recording / reproducing device, and a magnetic recording / reproducing system capable of deriving appropriate control conditions.SOLUTION: According to an embodiment, a data processing device includes an interface unit capable of acquiring partial data regarding control conditions of a magnetic recording / reproducing device and a processing unit capable of processing the partial data. The processing unit can process the partial data based on the characteristics of the partial data with a first model and derive first data. A first resolution of the first data is higher than a partial resolution of the partial data. The processing unit can process the partial data based on the characteristics with a second model and derive second data. The second mode is different from the first model and a second resolution of the second data is higher than the partial resolution.SELECTED DRAWING: Figure 1

Description

Technical Field

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[0001] Embodiments of the present invention relate to a data processing device, a magnetic recording and reproducing device, and a magnetic recording and reproducing system.

Background Art

[0002] For example, stable recording and reproduction can be achieved by appropriate control conditions for the operation of a magnetic recording and reproducing device.

Prior Art Documents

Patent Documents

[0003] <000​​​​​​​​​​​​​​​​​​​​​​​​​​​Figure 1 is a schematic diagram illustrating a data processing device and a magnetic recording and reproducing device according to the first embodiment. [Figure 2] Figure 2 is a schematic diagram illustrating a part of the magnetic recording and playback apparatus according to the first embodiment. [Figure 3] Figure 3 is a schematic diagram illustrating a magnetic recording and playback device according to the second embodiment. [Figure 4] Figure 4 is a flowchart illustrating the operation of the data processing device according to the embodiment. [Figure 5] Figure 5 is a flowchart illustrating the operation of the data processing device according to the embodiment. [Figure 6] Figure 6 is a schematic diagram illustrating an operating condition determination device according to an embodiment. [Modes for carrying out the invention]

[0007] Embodiments of the present invention will be described below with reference to the drawings. Drawings are schematic or conceptual, and the relationships between the thickness and width of each part, as well as the ratios of the sizes of different parts, are not necessarily identical to those of reality. Even when representing the same part, the dimensions and ratios may be depicted differently in different drawings. In this specification and in each figure, elements similar to those described above are denoted by the same reference numerals with respect to previously shown figures, and detailed explanations are omitted as appropriate.

[0008] (First Embodiment) Figure 1 is a schematic diagram illustrating a data processing device and a magnetic recording and reproducing device according to the first embodiment. As shown in Figure 1, the data processing device 70 according to this embodiment is used together with the magnetic recording and reproducing device 210. As will be described later, the data processing device 70 may be included in the magnetic recording and reproducing device 210. Below, an example in which the data processing device 70 is provided separately from the magnetic recording and reproducing device 210 will be described.

[0009] The magnetic recording and playback device 210 includes a magnetic recording medium 80. The magnetic recording and playback device 210 may include a recording unit 80D. The magnetic recording medium 80 is included in the recording unit 80D.

[0010] The magnetic recording medium 80 may include, for example, a magnetic disk (HDD: Hard Disk Drive). The recording unit 80D may include, for example, an SSD (Solid State Drive). The recording unit 80D includes, for example, a magnetic head 80H. Information is recorded on the magnetic recording medium 80 by the magnetic head 80H. The information recorded on the magnetic recording medium 80 is reproduced by the magnetic head 80H.

[0011] The magnetic recording and playback device 210 may include an operation control unit 85. The operation control unit 85 is capable of controlling at least one of the magnetic recording medium 80 and the magnetic head 80H. Under the control of the operation control unit 85, information is recorded by the magnetic head 80H at a desired position on the magnetic recording medium 80. Under the control of the operation control unit 85, the information recorded at the desired position on the magnetic recording medium 80 is reproduced by the magnetic head 80H.

[0012] As shown in Figure 1, the data processing device 70 includes an interface unit 71b and a processing unit 71a.

[0013] The interface unit 71b can acquire partial data Dp relating to the control conditions of the magnetic recording and playback device 210. For example, the partial data Dp is low-density data (LR-data) relating to the control conditions. The partial data Dp may be recorded on the magnetic recording medium 80, for example. The partial data Dp may be information reproduced by the magnetic head 80H, for example.

[0014] In one example, partial data Dp relates to the RRO (Repeatable Run_Out) of the magnetic recording and reproducing device 210.

[0015] The processing unit 71a can process the partial data Dp acquired by the interface unit 71b.

[0016] The processing unit 71a may include, for example, a classification model 73 and a plurality of models 72. The classification model 73 is, for example, a classifier. The plurality of models 72 are, for example, a plurality of estimators.

[0017] For example, the classifier (classification model 73) of the processing unit 71a classifies the partial data Dp into one of a plurality of classifications based on the characteristics of the partial data Dp.

[0018] The processing unit 71a processes the partial data Dp with one of the plurality of models 72 corresponding to the classification result classified by the classification model 73, and derives the estimated data 72x. The resolution of the estimated data 72x is higher than the resolution of the partial data Dp.

[0019] For example, the operation control unit 85 controls the magnetic recording and reproducing apparatus 210 using the high-resolution estimated data 72x. Thereby, the magnetic recording and reproducing apparatus 210 can be controlled with high accuracy.

[0020] The plurality of models 72 include, for example, a first model 72a and a second model 72b. The plurality of models 72 may further include a third model 72c and the like.

[0021] For example, the processing unit 71a can process the partial data Dp with the first model based on the characteristics of the partial data Dp and derive the first data D1. The resolution of the first data D1 (first resolution) is higher than the resolution of the partial data Dp (partial resolution). The partial data Dp is low-resolution data (LR-data).

[0022] For example, the processing unit 71a can process the partial data Dp with the second model 72b based on the characteristics of the partial data Dp and derive the second data D2. The second model 72b is different from the first model 72a. The resolution of the second data D2 (second resolution) is higher than the partial resolution.

[0023] According to one embodiment, the processing unit 71a classifies the low-resolution partial data Dp into one of a plurality of classifications based on the characteristics of the partial data Dp. Depending on the classification result, the processing unit 71a processes the data using one of a plurality of models 72 (e.g., the first model 72a or the second model 72b) to derive estimated data 72x (e.g., the first data D1 or the second data D2). The high-resolution estimated data 72x is used to control the magnetic recording and reproduction device 210.

[0024] In the embodiment, high recording density recording becomes possible. High recording density playback becomes possible. According to the embodiment, a data processing device capable of deriving appropriate control conditions can be provided. According to the embodiment, a high-density magnetic recording and playback device with appropriate control conditions can be provided.

[0025] For example, partial data Dp, first data D1, and second data D2 relate to the RRO of the magnetic recording and reproducing device 210.

[0026] For example, subdata Dp contains the (i+k·n)th data, where "i" is an integer greater than or equal to 1, "k" is an integer greater than or equal to 1, and "n" is an integer greater than or equal to 0. At least one of the first data D1 and the second data D2 contains, for example, the (i+n)th data.

[0027] For example, in the first reference example, all high-resolution data (HR-data) related to RRO is acquired. The high-resolution data includes RRO data at virtually all recording positions on the magnetic recording medium 80. In the first reference example, the magnetic recording and reproducing device 210 is controlled based on the acquired high-resolution data. In the first reference example, high-precision control is possible. However, long measurement times are required to acquire the high-resolution data. It is difficult to determine the control conditions with high efficiency.

[0028] On the other hand, in the second reference example, RRO data (partial data Dp) is acquired for a portion of all recording positions on the magnetic recording medium 80. In the second reference example, the time required to acquire the RRO data is short. However, in the second reference example, since only partial data Dp is used, the control accuracy is low. As a result, the improvement in density during recording and playback is insufficient.

[0029] Furthermore, in the third reference example, partial data Dp is acquired, and the acquired partial data Dp is processed by a single model to derive high-resolution estimated data 72x. In the third reference example, since high-resolution estimated data 72x is used, it is considered that high-precision control is possible compared to the second reference example. However, the characteristics of the magnetic recording and reproducing device 210 vary due to various factors. Therefore, when the acquired partial data Dp is processed by a single model, it is difficult to sufficiently reduce the difference between the estimated data 72x obtained by the processing and the true high-resolution data.

[0030] In contrast, in this embodiment, a model is selected from among multiple models 72 based on the characteristics of the acquired partial data Dp. For example, the acquired partial data Dp is classified based on its characteristics. It is processed by one of the multiple models 72 according to the classification result, and inferred data 72x is derived. As a result, in this embodiment, inferred data 72x with higher accuracy is obtained compared to the third reference example. In this embodiment, the difference between the inferred data 72x and the true high-resolution data can be made smaller compared to the third reference example.

[0031] In this embodiment, multiple models 72 may be set depending on the number of classifications. For example, the number of classifications may be 3. For example, the processing unit 71a may process the partial data Dp with the third model 72c based on the characteristics of the partial data Dp to derive the third data D3. The third model 72c is different from the first model 72a and different from the second model 72b. The resolution of the third data D3 (third resolution) is higher than the partial resolution described above. The third resolution includes, for example, the (i+n) data.

[0032] One of the multiple models 72 may be obtained by machine learning based on one of the multiple training data sets relating to the control conditions.

[0033] For example, a first model 72a is generated by machine learning based on first training data regarding control conditions. A second model 72b is generated by machine learning based on second training data regarding control conditions. At least a portion of the second training data differs from at least a portion of the first training data. A third model 72c is generated by machine learning based on third training data regarding control conditions. At least a portion of the third training data differs from at least a portion of the first training data and at least a portion of the second training data.

[0034] A model generated by machine learning based on training data corresponding to the characteristics of the partial data Dp is used. This results in more accurate inferred data 72x.

[0035] As shown in Figure 1, the estimated data 72x may include, for example, at least one of the derived first data D1 and second data D2. The estimated data 72x is, for example, super-resolution data SRD (SR-data). At least one of the first data D1 and second data D2 (super-resolution data SRD) may be output to the outside via the interface unit 71b.

[0036] For example, at least one of the first data D1 and the second data D2 (super-resolution data SRD) may be supplied to the operation control unit 85. The operation control unit 85 may be able to control the recording unit 80D (at least one of the magnetic recording medium 80 and the magnetic head 80H) based on at least one of the first data D1 and the second data D2 (e.g., RRO data).

[0037] For example, at least one of the first data D1 and the second data D2 may be supplied to the magnetic head 80H. The magnetic head 80H may be capable of recording at least one of the first data D1 and the second data D2 on the magnetic recording medium 80.

[0038] Figure 2 is a schematic diagram illustrating a part of the magnetic recording and playback apparatus according to the first embodiment. Figure 2 illustrates a magnetic recording medium 80. As shown in Figure 2, data (information) is recorded on the magnetic recording medium 80 by a magnetic head 80H. The area to be recorded corresponds to the data track 80T.

[0039] The data track 80T includes multiple servo data areas 83S and multiple user data areas 83U. For example, the servo data areas 83S and user data areas 83U may be arranged alternately.

[0040] One of the multiple servo data areas 83S records, for example, a postcode 83a. The postcode 83a corresponds, for example, to an RRO bit (RRO data).

[0041] One of the multiple servo data areas 83S records, for example, a burst signal 83b. For example, control is performed so that the magnetic head 80H passes through the center of the burst signal 83b. For example, the magnetic head 80H is designed to move in a circular trajectory centered on the rotation center of the magnetic recording medium 80.

[0042] In practical terms, when the movement of the magnetic head 80H deviates from a perfect circle, RRO occurs. Data related to RRO is recorded in postcode 83a. By reproducing the RRO data recorded in postcode 83a and controlling the position based on the burst signal 83b and the RRO data, high-precision control is possible. For example, the RRO data supports control using the burst signal 83b.

[0043] In one embodiment, for example, the derived inferred data 72x (first data D1 or second data D2) may be recorded in the postcode 83a. The inferred data 72x recorded in the postcode 83a may be reproduced by the magnetic head 80H, and its position may be controlled.

[0044] As shown in Figure 2, one of the multiple servo data areas 83S may record, for example, a preamble 83f, a servo mark 83e, track data 83d, and sector data 83c.

[0045] The location where at least one of the interface unit 71b and the processing unit 71a is provided may be different from the location where the magnetic recording and reproducing device 210 is provided. The location where at least one of the interface unit 71b and the processing unit 71a is provided may be substantially the same as the location where the magnetic recording and reproducing device 210 is provided.

[0046] Communication (transmission and reception of data) between at least one of the interface unit 71b and the processing unit 71a and the magnetic recording and playback device 210 may be carried out by any method, whether wired or wireless.

[0047] As described below, in the second embodiment, at least one of the interface unit 71b and the processing unit 71a may be included in the magnetic recording and reproduction device 210.

[0048] (Second Embodiment) Figure 3 is a schematic diagram illustrating a magnetic recording and playback device according to the second embodiment. As shown in Figure 3, the magnetic recording and reproducing apparatus 211 according to this embodiment includes a data processing apparatus 70 (see Figure 1). The data processing apparatus 70 includes an interface unit 71b and a processing unit 71a. The interface unit 71b is capable of acquiring partial data Dp related to the control conditions of the magnetic recording and reproducing apparatus 211. The processing unit 71a is capable of processing the partial data Dp.

[0049] As already explained, the processing unit 71a can derive first data D1 by processing partial data Dp with the first model 72a based on the characteristics of partial data Dp. The first resolution of first data D1 is higher than the partial resolution of partial data Dp. Based on the above characteristics, the processing unit 71a can derive second data D2 by processing partial data Dp with the second model 72b. The second model 72b is different from the first model 72a. The second resolution of second data D2 is higher than the partial resolution mentioned above.

[0050] The partial data Dp may be recorded on the magnetic recording medium 80 included in the magnetic recording and playback device 211.

[0051] The magnetic recording and playback device 211 may include a magnetic head 80H. The interface unit 71b may be capable of acquiring partial data Dp recorded on the magnetic recording medium 80 (e.g., postcode 83a) and reproduced by the magnetic head 80H.

[0052] The magnetic head 80H may be capable of recording at least one of the first data D1 and the second data D2 on the magnetic recording medium 80. For example, the magnetic head 80H may be capable of recording at least one of the first data D1 and the second data D2 in the postcode area (postcode 83a) of the magnetic recording medium 80.

[0053] For example, partial data Dp, first data D1, and second data D2 relate to the RRO of the magnetic recording and reproducing device 211.

[0054] The magnetic recording and playback device 211 may further include an operation control unit 85. The operation control unit 85 may be capable of controlling at least one of the magnetic recording medium 80 and the magnetic head 80H based on at least one of the first data D1 and the second data D2.

[0055] In the magnetic recording and playback device 211, the processing unit 71a may process the partial data Dp using the third model 72c based on the characteristics of the partial data Dp to derive the third data D3. The third model 72c is different from the first model 72a and different from the second model 72b. The third resolution of the third data D3 is higher than the partial resolution.

[0056] (Third embodiment) The third embodiment relates to a magnetic recording and playback system. As shown in Figure 1, the magnetic recording and playback system 310 according to the embodiment includes a data processing device 70 and a magnetic recording and playback device 210 according to the embodiment. According to the embodiment, a high-density magnetic recording and playback system with appropriate control conditions can be provided by a data processing device that can derive appropriate control conditions.

[0057] In this embodiment, partial data Dp is classified into multiple categories. Classification may be performed by comparing it with defined thresholds. For example, if there are three categories, a first threshold and a second threshold are used. For example, if partial data Dp, or the data derived from partial data Dp, is less than the first threshold, then partial data Dp is classified into the first category. For example, if partial data Dp, or the data derived from partial data Dp, is greater than or equal to the first threshold but less than the second threshold, then partial data Dp is classified into the second category. For example, if partial data Dp, or the data derived from partial data Dp, is greater than or equal to the second threshold, then partial data Dp is classified into the third category.

[0058] Figure 4 is a flowchart illustrating the operation of the data processing device according to the embodiment. Figure 4 illustrates the operation of the processing unit 71a. In this example, the number of classifications is 3. In this embodiment, the number of classifications may be any integer greater than or equal to 2. In the following, "partial data Dp" may mean "partial data Dp, or data derived from partial data Dp".

[0059] As shown in Figure 4, partial data Dp is obtained (step S110). It is determined whether the partial data Dp is the first classification (step S121). If the partial data Dp is the first classification, the partial data Dp is processed by the first model 72a (step S131), and the first data D1 is derived.

[0060] In step S121, if partial data Dp is not in the first category, it is determined whether partial data Dp belongs to the second category (step S122). If partial data Dp belongs to the second category, partial data Dp is processed by the second model 72b (step S132), and the second data D2 is derived.

[0061] In step S122, if the partial data Dp is not classified as a second category, the partial data Dp is processed by the third model 72c (step S133), and the third data D3 is derived.

[0062] For example, one of the first data D1, second data D2, and third data D3 is output as super-resolution data SRD (step S140).

[0063] In the example shown in Figure 4, the classification of partial data Dp is performed in multiple steps. In this embodiment, the classification of partial data Dp may be performed in a single step.

[0064] Figure 5 is a flowchart illustrating the operation of the data processing device according to the embodiment. Figure 5 illustrates the operation in one of several models 72. The processing in Figure 5 is performed, for example, in the processing unit 71a. The processing in Figure 5 is performed, for example, with respect to multiple partial data Dp. The input data is low-resolution data (LR-data). In the example of Figure 5, the partial data Dp has a two-dimensional data structure (for example, a structure corresponding to image data).

[0065] As shown in Figure 5, for example, a convolution is performed on a partial data Dp (step S211). In this example, a 3x3 kernel-sized convolution is performed. Then another convolution is performed (step S212). In this example, a 1x3 kernel-sized convolution is performed.

[0066] As shown in Figure 5, in the block layer, processing of a 1x1 kernel size, processing of a 3x3 kernel size, and processing of a 1x1 kernel size are performed (step S213). Step S213 is repeated. The number of repetitions is, for example, 3. The block layer can be, for example, a model used in a Residual Network.

[0067] As shown in Figure 5, a 3x3 kernel-sized convolution is performed (step S214). Another 3x3 convolution is performed (step S215). After that, the data is reshaped into a one-dimensional structure (step S216). Furthermore, a fully connected operation is performed (step S217). A reshape is performed to return the data structure to two dimensions (step S218). This yields the inferred data 72x. The obtained inferred data 72x is output. The resolution of the inferred data 72x is higher than the resolution of the partial data Dp. The inferred data 72x is, for example, super-resolution data SRD (SR-data).

[0068] In the embodiment, various operations may be performed in one of the multiple models 72. In the embodiment, the partial data Dp and the inferred data 72x may include data relating to the planar irregularities or defects of the magnetic recording medium 80, in addition to RRO. The partial data Dp and the inferred data 72x may include arbitrary data relating to the control conditions of the magnetic recording and reproducing device.

[0069] The embodiment may include a method for manufacturing a magnetic recording and playback device. The method for manufacturing a magnetic recording and playback device may include recording at least one of the first data D1 and second data D2 derived by the data processing device 70 according to the embodiment onto a magnetic recording medium. The method for manufacturing a magnetic recording and playback device may be applied to an inspection process of the magnetic recording and playback device.

[0070] According to this embodiment, the estimated data 72x can be derived with higher accuracy than in the third reference example described above.

[0071] For example, the simulation results when the partial data Dp has a ratio of RRO such that the RRO in the second category is greater than the RRO in the first category, and the RRO in the third category is greater than the RRO in the second category, are as follows.

[0072] In one embodiment, the difference (3σ) between the first data D1 for RRO in the first classification and the RRO of the high-resolution data is, for example, 0.55 nm. On the other hand, in a third reference example where one type of model is used, the difference (3σ) between the RRO of the estimated data 72x and the RRO of the high-resolution data is, for example, 0.58 nm. In this example, "3σ" is three times the standard deviation (σ) of the distribution of the difference (prediction error) between the high-resolution data and the estimated data 72x. A smaller difference (3σ) indicates higher prediction accuracy for the high-resolution data.

[0073] In one embodiment, the difference (3σ) between the second data D2 and the RRO of the high-resolution data for the RRO in the second classification is, for example, 0.72 nm. On the other hand, in a third reference example where one type of model is used, the difference (3σ) between the RRO of the estimated data 72x and the RRO of the high-resolution data is, for example, 0.73 nm.

[0074] In one embodiment, the difference (3σ) between the third data D3 and the RRO of the high-resolution data for the third classification is, for example, 0.92 nm. On the other hand, in the third reference example where one type of model is used, the difference (3σ) between the RRO of the estimated data 72x and the RRO of the high-resolution data is, for example, 0.93 nm.

[0075] As described above, in this embodiment, a model corresponding to the classification of partial data Dp is used, thereby obtaining more accurate inferred data 72x.

[0076] Figure 6 is a schematic diagram illustrating an operating condition determination device according to an embodiment. As shown in Figure 6, the data processing device 70 includes a processing unit 71a and an interface unit 71b. The processing unit 71a is, for example, an electrical circuit. The data processing device 70 may include a storage unit 79a. The storage unit 79a may include, for example, at least one of ROM (Read Only Memory) and RAM (Random Access Memory). For example, a part of the recording unit 80D may be used as the storage unit 79a.

[0077] The data processing device 70 may include a display unit 79b and an input unit 79c, etc. The display unit 79b may include various types of displays. The input unit 79c may include, for example, a device having an operating function (e.g., a keyboard, mouse, touch input panel, or voice recognition input device).

[0078] Multiple elements included in the data processing device 70 can communicate with each other by at least one of wireless and wired methods. The locations where the multiple elements included in the data processing device 70 are provided may be different from each other. A general-purpose computer may be used as the data processing device 70. Multiple computers connected to each other may be used as the data processing device 70. A dedicated circuit may be used as at least a part of the data processing device 70 (for example, a processing unit 71a). Multiple circuits connected to each other may be used as the data processing device 70.

[0079] The embodiment may include a program. The program causes a computer (data processing device 70) to perform the above operations. The embodiment may also include a storage medium in which the above program is stored.

[0080] The embodiment may include the following configuration (e.g., proposed technical details). (Composition 1) An interface unit capable of acquiring partial data regarding the control conditions of a magnetic recording and playback device, A processing unit capable of processing the aforementioned partial data, Equipped with, The processing unit can process the partial data using a first model based on the characteristics of the partial data to derive first data, and the first resolution of the first data is higher than the partial resolution of the partial data. The processing unit is capable of processing the partial data with a second model based on the characteristics to derive second data, wherein the second model differs from the first model in that the second resolution of the second data is higher than the partial resolution.

[0081] (Configuration 2) The data processing device according to configuration 1, wherein the aforementioned partial data is recorded on a magnetic recording medium included in the magnetic recording and playback device.

[0082] (Composition 3) The partial data, the first data, and the second data relate to the RRO (Repeatable Run Out) of the magnetic recording and reproducing device, as described in configuration 1 or 2.

[0083] (Composition 4) The aforementioned partial data includes the (i+k·n)th data, where i is an integer greater than or equal to 1, k is an integer greater than or equal to 1, and n is an integer greater than or equal to 0. The data processing apparatus according to configuration 3, wherein at least one of the first data and the second data includes the (i+n) data.

[0084] (Composition 5) The processing unit can process the partial data using a third model based on the characteristics to derive third data. The aforementioned third model differs from the aforementioned first model and the aforementioned second model, A data processing device according to any one of configurations 1 to 4, wherein the third resolution of the third data is higher than the partial resolution.

[0085] (Composition 6) At least one of the interface unit and the processing unit is included in the magnetic recording and reproducing device, and is a data processing device according to any one of configurations 1 to 5.

[0086] (Composition 7) A data processing device according to any one of configurations 1 to 5, wherein the location where at least one of the interface unit and the processing unit is provided is different from the location where the magnetic recording and reproducing device is provided.

[0087] (Composition 8) Based on the first training data relating to the control conditions, the first model is generated through machine learning. The second model is generated by machine learning based on the second training data relating to the control conditions. A data processing device according to any one of configurations 1 to 7, wherein at least a portion of the second training data is different from at least a portion of the first training data.

[0088] (Composition 9) A magnetic recording and regeneration device equipped with a data processing device, The aforementioned data processing device is An interface unit capable of acquiring partial data relating to the control conditions of the magnetic recording and playback device, A processing unit capable of processing the aforementioned partial data, Includes, The processing unit can process the partial data using a first model based on the characteristics of the partial data to derive first data, and the first resolution of the first data is higher than the partial resolution of the partial data. The processing unit is capable of processing the partial data with a second model based on the characteristics to derive second data, wherein the second model differs from the first model in that the second resolution of the second data is higher than the partial resolution, in a magnetic recording and reproduction device.

[0089] (Composition 10) The aforementioned partial data is recorded on a magnetic recording medium included in the magnetic recording and playback device according to configuration 9.

[0090] (Composition 11) Equipped with a magnetic head, The magnetic recording and playback apparatus according to configuration 10, wherein the interface unit is capable of acquiring the partial data recorded on the magnetic recording medium and reproduced by the magnetic head.

[0091] (Composition 12) Equipped with a magnetic head, The magnetic recording and playback apparatus according to configuration 10, wherein the magnetic head is capable of recording at least one of the first data and the second data on the magnetic recording medium.

[0092] (Composition 13) The magnetic recording and playback apparatus according to configuration 11, wherein the magnetic head is capable of recording at least one of the first data and the second data in the postcode area of ​​the magnetic recording medium.

[0093] (Composition 14) The aforementioned partial data, the first data, and the second data relate to the RRO (Repeatable Run Out) of the magnetic recording and regeneration device, as described in any one of configurations 11 to 13.

[0094] (Composition 15) The aforementioned partial data includes the (i+k·n)th data, where i is an integer greater than or equal to 1, k is an integer greater than or equal to 1, and n is an integer greater than or equal to 0. The magnetic recording and reproducing apparatus according to configuration 14, wherein at least one of the first data and the second data includes the (i+n) data.

[0095] (Composition 16) It further includes an operation control unit, The magnetic recording and playback apparatus according to any one of configurations 11 to 15, wherein the operation control unit can control at least one of the magnetic recording medium and the magnetic head based on at least one of the first data and the second data.

[0096] (Composition 17) The processing unit can process the partial data using a third model based on the characteristics to derive third data. The aforementioned third model differs from the aforementioned first model and the aforementioned second model, A magnetic recording and reproducing apparatus according to any one of configurations 11 to 16, wherein the third resolution of the third data is higher than the partial resolution.

[0097] (Composition 18) Based on the first training data relating to the control conditions, the first model is generated through machine learning. The second model is generated by machine learning based on the second training data relating to the control conditions. A magnetic recording and reproducing apparatus according to any one of configurations 9 to 17, wherein at least a portion of the second training data is different from at least a portion of the first training data.

[0098] (Composition 19) A data processing device described in any one of configurations 1 to 8, The magnetic recording and playback device, A magnetic recording and playback system.

[0099] (Composition 20) A method for manufacturing a magnetic recording and reproduction device, comprising recording at least one of the first data and the second data derived by the data processing device described in Configuration 2 onto the magnetic recording medium.

[0100] According to the embodiment, a data processing device, a magnetic recording and regeneration device, and a magnetic recording and regeneration system capable of deriving appropriate control conditions can be provided.

[0101] Embodiments of the present invention have been described above with reference to examples. However, the present invention is not limited to these examples. For example, the specific configurations of each element, such as a control unit, a processing unit, and a recording unit, included in a data processing device, a magnetic recording and reproduction device, and a magnetic recording and reproduction system, are included within the scope of the present invention as long as those skilled in the art can appropriately select from the known scope to implement the present invention in a similar manner and obtain similar effects.

[0102] Combinations of two or more elements from each example, to the extent technically feasible, are also included within the scope of the present invention, insofar as they encompass the gist of the invention.

[0103] All data processing devices, magnetic recording and reproduction devices, and magnetic recording and reproduction systems that can be implemented by those skilled in the art by appropriately modifying the design based on the data processing device, magnetic recording and reproduction device, and magnetic recording and reproduction system described above as embodiments of the present invention also fall within the scope of the present invention, insofar as they encompass the gist of the present invention.

[0104] Within the scope of the concept of this invention, a person skilled in the art would be able to conceive of various modifications and alterations, and it is understood that such modifications and alterations also fall within the scope of this invention.

[0105] While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These novel embodiments can be carried out in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims of the invention and its equivalents. [Explanation of symbols]

[0106] 70: Data processing unit, 71a: Processing unit, 71b: Interface unit, 72: Model, 72a~72c: 1st~3rd models, 72x: Predicted data, 73: Classification model, 79a: Storage unit, 79b: Display unit, 79c: Input unit, 80: Magnetic recording medium, 80D: Recording unit, 80H: Magnetic head, 80T: Data track, 83S: Servo data area, 83U: User data area, 83a: Postcode, 83b: Burst signal, 83c: Sector data, 83d: Track data, 83e: Servo mark, 83f: Preamble, 85: Operation control unit, 210, 211: Magnetic recording and playback device, 310: Magnetic recording and playback system, D1~D3: 1st~3rd data, Dp: Partial data, SRD: Super-resolution data

Claims

1. An interface unit capable of acquiring partial data regarding the control conditions of a magnetic recording and playback device, A processing unit capable of processing the aforementioned partial data, Equipped with, The processing unit can process the partial data using a first model based on the characteristics of the partial data to derive first data, and the first resolution with respect to the sample point density of the first data is higher than the resolution with respect to the sample point density of the partial data. The processing unit is capable of processing the partial data with a second model based on the characteristics to derive second data, wherein the second model differs from the first model in that the second resolution of the second data is higher than the resolution of the partial data, and is a data processing device.

2. The data processing apparatus according to claim 1, wherein the aforementioned partial data is recorded on a magnetic recording medium included in the magnetic recording and playback apparatus.

3. The data processing device according to claim 1, relating to the RRO (Repeatable Run_Out) of the magnetic recording and playback device, wherein the partial data, the first data, and the second data are the RRO (Repeatable Run_Out) of the magnetic recording and playback device.

4. The data processing apparatus according to claim 1, wherein at least one of the interface unit and the processing unit is included in the magnetic recording and reproduction apparatus.

5. The data processing apparatus according to claim 1, wherein the location where at least one of the interface unit and the processing unit is provided is different from the location where the magnetic recording and reproducing device is provided.

6. A magnetic recording and regeneration device equipped with a data processing device, The aforementioned data processing device is An interface unit capable of acquiring partial data relating to the control conditions of the magnetic recording and playback device, A processing unit capable of processing the aforementioned partial data, Includes, The processing unit can process the partial data using a first model based on the characteristics of the partial data to derive first data, and the first resolution with respect to the sample point density of the first data is higher than the resolution with respect to the sample point density of the partial data. The processing unit is capable of processing the partial data with a second model based on the characteristics to derive second data, wherein the second model differs from the first model in that the second resolution of the second data is higher than the resolution of the partial data, in a magnetic recording and reproduction device.

7. The magnetic recording and regeneration apparatus according to claim 6, wherein the aforementioned partial data is recorded on a magnetic recording medium included in the magnetic recording and regeneration apparatus.

8. Equipped with a magnetic head, The magnetic recording and playback apparatus according to claim 7, wherein the interface unit is capable of acquiring the partial data recorded on the magnetic recording medium and reproduced by the magnetic head.

9. Equipped with a magnetic head, The magnetic recording and playback apparatus according to claim 7, wherein the magnetic head is capable of recording at least one of the first data and the second data on the magnetic recording medium.

10. The data processing device according to claim 1, The magnetic recording and playback device, A magnetic recording and playback system.

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