42 results about "Frequency table" patented technology

The invention relates to the technical field of integrated circuits, and provides a dynamic voltage frequency configuration method, device, equipment and program product of a chip, and the method comprises the steps: for each chip in a sample set comprising a plurality of chips, determining a performance index based on a chip parameter and a preset test frequency; comparing the performance index of each chip with a preset limit value to determine the number of chips passing the test; based on the number of the chips passing the test and the total number of the chips in the sample set, determining the actual yield under the preset test frequency; comparing the actual yield with a target yield, and iteratively adjusting the preset test frequency until the target yield is met so as to obtain an effective clock frequency; a voltage frequency table is generated based on the effective clock frequency and the corresponding voltage. According to the method, the relationship between the effective clock frequency and the yield is fully reflected, the generated voltage frequency table can provide the optimal working parameter combination for the chip under the condition of ensuring the yield, and the performance and efficiency of chip design are improved.

The invention relates to the technical field of health data processing, in particular to an intelligent health data processing method and device and a storage medium, and the method comprises the steps: collecting the pure tone hearing threshold of a user under a standard frequency table, constructing a pure tone audiometry map of the user, extracting the hearing threshold features of the user, constructing the hearing sensitive state index of the user, and obtaining the hearing sensitive state index of the user; then determining a basic hearing state of the user; collecting health data of the user in real time; calibrating an otoacoustic emission amplitude and an ABR wave V amplitude of the user; constructing a peripheral-central function coupling index of the user; and constructing an occult hearing loss model based on the peripheral-central function coupling index and the hearing processing disorder index of the user so as to output the occult hearing loss state of the user, and performing hearing health early warning on the user by integrating the occult hearing loss state of the user and the basic hearing state. According to the invention, the efficiency of health data processing is effectively improved.

The invention discloses a ground-air electromagnetic exploration method and system based on optimized extended harmonic waves, and the method comprises the steps: obtaining a pseudo-random wave current of a transmitting frequency and correspondingly received magnetic field data, and calculating a smoothing coefficient of a magnetic field intensity curve; constructing a harmonic frequency table, and calculating a relative error of curve smoothing coefficients of the transmitting frequency before and after each harmonic frequency is added; if the relative error corresponding to a certain harmonic frequency does not exceed a preset value, the harmonic frequency and the magnetic field intensity data thereof are reserved; constructing a layered medium model according to the emission frequency and the reserved harmonic frequency, and calculating forward magnetic field intensity data in the model; calculating the relative error of the curve smoothing coefficients before and after the addition of the currently reserved harmonic frequencies according to the method, and then screening the harmonic frequencies again; and finally, analyzing the underground medium of the measuring point by using the magnetic field intensity data of the emission frequency and the finally reserved harmonic frequency. The method can improve the longitudinal resolution of underground medium property exploration through an electromagnetic method.

The invention relates to the technical field of air source heat pumps, and discloses a variable-frequency air source heat pump and a variable-frequency adjusting method and device thereof. The energy-saving working condition frequency table is generated in advance, the preset frequency which is automatically set in advance is adaptively adjusted according to the target frequency in the energy-saving working condition frequency table in combination with the current environment temperature, and the target water temperature is adaptively corrected in combination with the preset temperature control condition on the basis that the preset frequency is adjusted to the target frequency. And finally, on the basis that the target water temperature is corrected, the target frequency is corrected in a self-adaptive mode. Therefore, the preset water temperature is corrected to the target water temperature in a self-adaptive mode, manual correction of the preset water temperature by a user is replaced, then the purpose of accurate temperature control is achieved, the user requirement is met, meanwhile, the target frequency is corrected in a self-adaptive mode in combination with the high-frequency heating time and the load correction time, and the user experience is improved. And the phenomena of high energy consumption and high noise caused by the fact that the variable-frequency air source heat pump always works according to the heating frequency of a non-ideal state are avoided, and the stability is good.

The invention relates to the technical field of frequency measurement, and discloses a short-wave carrier center frequency measurement method, which comprises the following steps: collecting short-wave signal data, and carrying out parallel processing to generate multi-domain feature representation; constructing a multi-scale time-frequency analysis framework by applying fractional order wavelet transform; fractal dimensions and self-similarity indexes of the signals are calculated, and geometric features are extracted; combining fractal features and noise type recognition results to optimize fractional order parameters; feature fusion is executed in a multi-domain multi-scale space, and enhanced frequency representation is constructed; accurately positioning the carrier center frequency by applying a hierarchical peak detection algorithm; according to the method, the accuracy and the reliability in the short-wave carrier are remarkably improved while the complexity of the algorithm is kept controllable, and particularly, the method has obvious advantages in a low signal-to-noise ratio and complex interference environment, so that powerful support is provided for improving the performance of a short-wave communication system.

The application provides an OFDM configuration parameter generation method, device, equipment, medium and product, which can be used in the technical field of communication. The method comprises the following steps: obtaining a three-dimensional template instance defined by a user based on a three-dimensional configuration parameter template; the three-dimensional configuration parameter template comprises configuration parameter templates of three dimensions, and each configuration parameter template comprises a plurality of OFDM configuration items; filling OFDM configuration parameters in a two-dimensional time-frequency table based on each instance in the three-dimensional template instance; converting the two-dimensional time-frequency table into a configuration file in a preset format; and the configuration file is used for synchronous demodulation or signal quality evaluation of an OFDM signal. The application provides a set of general three-dimensional configuration parameter templates, and the user can use the set of three-dimensional configuration parameter templates to represent the data distribution characteristics in the OFDM communication protocol, so that the set of three-dimensional configuration parameter templates can be used to describe any OFDM communication protocol, and the generalization is relatively strong.

A method includes: receiving a ranging signal from the transmitter including a set of multiplexed sub-signals, each multiplexed sub-signal characterized by a frequency in a set of frequencies; calculating a sample-based time-of-arrival estimate based on the series of time-domain samples of the ranging signal; calculating a sample-based uncertainty of the sample-based time-of-arrival; for each sub-signal pair in a subset of multiplexed sub-signals of the set of multiplexed sub-signals, extracting a phase difference of the sub-signal pair; calculating a phase-based time-of-arrival estimate based on the phase difference of each sub-signal pair in the subset of multiplexed sub-signals; calculating a phase-based uncertainty of the phase-based time-of-arrival estimate; and calculating a hybrid time-of-arrival estimate as a weighted combination of the sample-based time-of-arrival estimate, the phase-based time-of-arrival estimate, based on the sample-based uncertainty and the phase-based uncertainty.

The invention relates to the technical field of data processing, in particular to a mass log data archiving method for a cross-border e-commerce platform, which comprises the following steps: receiving cross-border e-commerce transaction log streams, analyzing and extracting user session IDs and commodity SKU codes in logs, counting the frequency of sharing the user session IDs or the commodity SKU codes among different log entries in a buffer area, and storing the user session IDs or the commodity SKU codes in the buffer area. And establishing a log attribute association frequency table, and calculating log clustering coefficient indexes of different log entries on the clustering dimension according to the log attribute association frequency table. According to the method, the compressed sequence is generated through line number difference calculation, difference distribution density is counted to serve as a storage format decision basis, an array container format is selected to reduce storage space occupation when the distribution density is lower than a threshold value, and a bitmap container format is automatically switched to improve bit operation efficiency when the distribution density is higher than the threshold value. And the established adaptive sparse bitmap index can dynamically balance the storage cost and the retrieval speed in different data sparseness scenes.

The invention discloses a broadband stability analysis method of a doubly-fed fan-energy storage combined system, and relates to the field of broadband stability analysis of power systems. The method comprises the following steps: firstly, carrying out preparation work before data acquisition, further carrying out multi-channel synchronous sampling and obtaining four types of features, fusing the four types of features to form a continuous time sequence, and preprocessing the continuous time sequence to obtain a standardized feature set; performing broadband domain wavelet transform on the standardized feature set, and outputting a time-frequency energy matrix and a frequency table; and extracting a core feature set based on the time-frequency energy matrix, and outputting a single-frequency-band stability evaluation value, a double-fed fan-energy storage combined system stability level and a weak-frequency-band positioning result through the optimized broadband stability comprehensive evaluation model. The problems that in stability analysis of a traditional doubly-fed fan-energy storage combined system, broadband disturbance feature coverage is incomplete, a parameter calculation link is fragmented, weight setting is subjective and cannot adapt to dynamic changes of working conditions, and engineering landing performance is poor are solved.

Methods and systems for estimating the frequency table of a data set stored in a probabilistic data structure such as a counting Bloom filter or Count-Min sketch. The system observes the distribution of values in the counters of the data structure (e.g., how many counters have value 0, 1, 2, etc.) Using these observed values, the system iteratively calculates the number of unique items in the data set that appear with specific frequencies. The method accounts for hash collisions by modeling the probability that a counter value results from a single item versus multiple colliding items, allowing for the reconstruction of the item frequency distribution without querying individual elements.

The invention relates to the technical field of frequency spectrum monitoring, and discloses a full-band frequency spectrum monitoring method and device based on a soft no-platform in order to solve the problems that most of existing frequency spectrum monitoring technologies have the following limitations that the frequency band coverage range is limited, the real-time performance is poor and the universality is poor. The method comprises the following steps: collecting a communication signal of radio frequency equipment in a frequency spectrum monitoring frequency band, and performing frequency domain transformation on the communication signal to generate frequency spectrum data; splicing the frequency spectrums on the plurality of frequency bands, and carrying out interference frequency band identification on the spliced frequency spectrum data to obtain a frequency band interference condition; removing frequency spectrum data on an interference frequency band from the spliced frequency spectrum data, and screening out frequency spectrum characteristic data; and screening out at least one quiet frequency according to the spectrum feature data, generating a quiet frequency table, and updating the quiet frequency table in real time. By adopting the method, full-band frequency spectrum monitoring can be realized, the real-time performance is high, and the universality is good.

The application discloses a city wetland restoration effect evaluation method and system based on bird behavior frequency distribution, relates to the technical field of ecological restoration evaluation, and comprises the following steps: dividing the wetland into different habitats according to the degree of human intervention and the vegetation structure and coding; collecting bird individual behavior data in the grid; constructing a basic frequency table with the restoration type, the behavior type and the vertical level as the dimensions, extracting the restoration measure-behavior response bias characteristic value, the niche potential gradient characteristic value and the group overlap pressure characteristic value; constructing a multi-dimensional evaluation model containing the behavior function integrity balance index, the vertical structure niche support index and the community stability correction factor based on the above characteristics, and calculating the wetland restoration ecological behavior benefit comprehensive index; comparing the comprehensive index with the diagnostic threshold value and tracing back the sub-characteristic values, and outputting the restoration effect grade and the management suggestion. The application realizes multi-dimensional quantitative evaluation of the wetland restoration effect.

This invention proposes a vocabulary proficiency testing method and system based on reading comprehension practice, including the following steps: Reading text preprocessing step: For each reading comprehension text, the server calculates the difficulty of each word w in the current text; then, it sorts the words in the text in descending order of difficulty and counts their frequency; providing test content to the user and accumulating difficult words; Vocabulary cognition level assessment step: After the user has accumulated a predetermined number of reading comprehension questions, all the difficult words encountered are averaged using their frequency percentage in the vocabulary frequency table WordFreq as a coefficient to obtain the average frequency percentage information. Then, the corresponding word ranking is found from WordFreq to determine the user's vocabulary size; English text recommendation based on vocabulary assessment step: Based on the user's vocabulary size, the server recommends corresponding vocabulary learning and reading texts, which are sent to the user's terminal via the network.

The application discloses a Huffman coding method, a coding device, a chip and a storage medium. The Huffman coding method comprises the following steps: obtaining a to-be-coded string and associated coding information, wherein the coding information comprises the length of the to-be-coded string, a corresponding alphabet and a limited code length to be coded; scanning the symbols of the string based on a preset scanning length, counting the occurrence frequency of each symbol in the scanned symbols, and generating a symbol frequency table corresponding to the to-be-coded string based on the preset scanning length; determining a reference frequency for frequency adjustment according to the preset scanning length and the limited code length, and optimizing the symbol frequency table based on the reference frequency; generating a Huffman codebook for the to-be-coded string according to the optimized symbol frequency table; and coding the to-be-coded string by using the Huffman codebook and outputting a corresponding coding result. The application can adapt to different scanning progress, construct a codebook meeting the limited code length, and effectively improve the Huffman coding speed.

The testing system comprises a processor and a local memory on a motherboard and an extension memory device under test (DUT). The local memory corresponds to a first address range within system memory and the extension memory DUT associated with a second address range within the system memory. The processor is operable to direct write latency testing of the extension memory DUT, including recording write latency measurement values. The recording can be done in a frequency table and the frequency table can be visualized (e.g., rendered, etc.) on a display. The testing comprises non-temporal write instructions that bypass processor caches. The extension memory DUT is compatible with a compute express link (CXL) protocol.

The application provides a kind of electromagnetic spectrum sensing method in radio frequency sparse environment, method as follows: normal working condition, the frequency point electromagnetic environment parameter reported by channel is received regularly, and the frequency point electromagnetic environment parameter is reported to host computer regularly;Control channel to open full-band scanning, regularly scan and collect the electromagnetic environment parameter of all frequency points of channel, calculate the comprehensive field intensity value of each frequency point, as the basis for judging spectrum advantage and disadvantage;Get the comprehensive field intensity value of each frequency point, select the frequency point whose comprehensive field intensity value is lower than the pre-set field intensity threshold value, and make frequency table according to the discreteness rule;Frequency table is reported to host computer for confirmation after being made, and the discreteness of frequency table is checked and optimized, if it meets the frequency discreteness rule, it is issued, if it does not meet the frequency discreteness rule, it is not issued and prompted.The application has the ability of fast sensing of environmental spectrum resource, reliable transmission in complex environment and low frequency update overhead.

This invention discloses a machine-generated text detection method based on frequency domain feature extraction and local frequency filtering. The method involves embedding the input text and constructing an initial frequency domain representation, then building a local frequency filtering module. This module extracts local salient features of the text in different frequency bands through peak detection and frequency band mask generation, forming a multi-band local frequency representation, and constructing a global frequency domain representation that spans both text and models. Text features are fused in both the time and frequency domains, and a unified discriminant representation for machine-generated text detection is constructed through spectrum reconstruction. The local frequency filtering module, spectrum reconstruction, and discriminant network are jointly optimized end-to-end to output prediction results. This invention can effectively identify the potential structural patterns of machine-generated text in the frequency domain dimension, exhibiting high detection accuracy, strong cross-model robustness, and excellent out-of-domain generalization performance. It can be widely applied in scenarios such as content security review, text credibility assessment, and source tracing analysis of content generated by large models.

The invention relates to the technical field of data processing, in particular to an advanced OPC-oriented polygonal file data incremental updating and compression method and system, which comprises the following steps: constructing a geometric feature extraction model and a topological structure optimization model, generating local change probability distribution and sub-region weight distribution, and constructing a local feature extraction model and a topological structure optimization model; and setting an entropy encoder frequency table by dynamically updating probability distribution so as to realize polygon data compression. According to the method, all the modules are collaboratively optimized through the joint loss function, the technical means of curve OPC, MLLFD and SSO are combined, the polygon data storage, transmission and decompression efficiency is remarkably improved, meanwhile, local change efficient recognition and redundant data minimization are achieved, and high adaptive capacity and scene generalization performance are achieved.

A sound generation control device is configured to select, as a selection basic waveform table, one of multiple basic waveform tables stored in advance in a storage; select, as a selection frequency table, one of multiple frequency tables stored in advance in the storage; obtain a frequency applied waveform by transforming the basic waveform in a time axis direction so that a time width of the basic waveform of the selection basic waveform table becomes one period of a playback frequency of the selection frequency table; and generate, as generation waveform data, a waveform in which the frequency applied waveform is repeated successively.

Systems and methods for encoding and compressing structured data for rendering computer-generated graphics in three-dimensional applications are described herein. In various implementations, structured data may be encoded into an intermediate symbol stream using frequency tables specifically for a type of structured data object, field, or value being encoded. In some implementations, additional information may be incorporated into the symbols used to encode individual structured data objects. In some implementations, structured data objects may be encoded based on a context associated with the structured data object. Once structured data is encoded as an intermediate symbol stream, the intermediate symbol stream may be compressed using one or more entropy coding methods. By taking into account the underlying structure of the data, the systems and methods described herein reduce redundancies, thereby improving compression of the structured data.

The application discloses a frequency band expansion type composite vibration table control system and method based on MRAC-TVC, which is applied to a frequency band expansion type composite vibration table, and the frequency band expansion type composite vibration table comprises a lower layer low-frequency vibration table, a low-frequency long-stroke servo actuator, an upper layer high-frequency vibration table and a high-frequency short-stroke servo actuator. The control system comprises a lower layer low-frequency table control system and an upper layer high-frequency table control system. The lower layer low-frequency table control system comprises the lower layer low-frequency vibration table, the low-frequency long-stroke servo actuator, a low-frequency table inner closed loop subsystem and a low-frequency table outer closed loop subsystem. The upper layer high-frequency table control system comprises the upper layer high-frequency vibration table, the high-frequency short-stroke servo actuator, a high-frequency table inner closed loop subsystem and a high-frequency table outer closed loop subsystem. The application not only increases the robustness of a seismic simulation vibration table system to cope with load changes when the system is affected by dynamic responses of an experimental structure, but also avoids early damage of the experimental structure.

The invention provides a low-interception satellite communication method and system of a satellite hopping mode based on cognitive radio, and relates to the technical field of satellite communication, and the method comprises the steps: obtaining system parameters of a target satellite communication system, and constructing a satellite map; monitoring and scanning the satellite star map to obtain available frequency resource information of each candidate satellite; determining the use priority of each candidate satellite based on the available frequency resource information of each candidate satellite, and establishing a satellite available frequency table; selecting a candidate satellite with a first priority in the satellite available frequency table as an initial communication satellite for communication; and when a preset satellite switching mechanism is satisfied, reselecting the candidate satellite from the available satellite frequency table to serve as a new communication satellite for switching. According to the invention, the satellite communication is switched by performing priority ranking according to the link quality of the satellites, so that the low-interception and anti-interference performance of the satellite communication signals is effectively improved.

The invention discloses a social network interaction prediction method and system based on frequency enhanced space-time embedding. The method comprises the following steps: firstly, sampling historical interaction records of a user, constructing an equal-length interaction sequence, and generating time embedding, space embedding and interaction frequency representation; then, the time series data is converted from the time domain to the frequency domain through fast Fourier transform, so that periodic features in the node interaction mode are captured; then, specific frequency components are enhanced through point multiplication operation, and a periodic behavior and node interaction mode is mined; performing feature mixing and dimension mixing through a multi-perceptron mixing layer, and capturing global and local dependency relationships in the data; and finally, the learned space-time interaction features are used for user behavior prediction. According to the method, the time-space interaction features and the frequency enhancement method in the time sequence social network are combined, so that the potential features of the users in the time sequence social network are better extracted. Therefore, the method provided by the invention can obtain better performance in time sequence social network prediction.

The testing system comprises a processor and a local memory on a motherboard and an extension memory device under test (DUT). The local memory corresponds to a first address range within system memory and the extension memory DUT associated with a second address range within the system memory. The processor is operable to direct write latency testing of the extension memory DUT, including recording write latency measurement values. The recording can be done in a frequency table and the frequency table can be visualized (e.g., rendered, etc.) on a display. The testing comprises non-temporal write instructions that bypass processor caches. The extension memory DUT is compatible with a compute express link (CXL) protocol.

The present application relates to the transmission technical field of digital information, provide a kind of side slope safety monitoring data transmission method and system, wherein method includes the following steps: S1, obtains monitoring level from the monitoring electrode of side slope;S2, monitoring level is carried out FFT transformation, obtains frequency list: S3, frequency list is sequentially rolled into the head of time series frequency table;S4, judge whether T is greater than 0, if greater than, then return to step S1 after T is reduced by one.The present application is based on the design of time series frequency table and feature frequency table, the data sending quantity in the majority control time sequence can be simplified to a byte, and important monitoring information will not be lost, so that the overall transmission amount of monitoring data can be greatly reduced, and the compression of side slope monitoring data is approximated to lossless.

A battery temperature estimation device according to an embodiment disclosed in this document may include an impedance measurement unit configured to measure frequency-specific impedance of a battery; a memory configured to store a temperature-frequency table according to an imaginary part of impedance; and a controller configured to estimate a temperature of the battery through the temperature-frequency table based on an imaginary part of the frequency-specific impedance.

A method includes: receiving a ranging signal from the transmitter including a set of multiplexed sub-signals, each multiplexed sub-signal characterized by a frequency in a set of frequencies; calculating a sample-based time-of-arrival estimate based on the series of time-domain samples of the ranging signal; calculating a sample-based uncertainty of the sample-based time-of-arrival; for each sub-signal pair in a subset of multiplexed sub-signals of the set of multiplexed sub-signals, extracting a phase difference of the sub-signal pair; calculating a phase-based time-of-arrival estimate based on the phase difference of each sub-signal pair in the subset of multiplexed sub-signals; calculating a phase-based uncertainty of the phase-based time-of-arrival estimate; and calculating a hybrid time-of-arrival estimate as a weighted combination of the sample-based time-of-arrival estimate, the phase-based time-of-arrival estimate, based on the sample-based uncertainty and the phase-based uncertainty.

The present application belongs to the technical field of machine tool control, and discloses a control method and system of a five-axis machining center. The angle instruction sequence of the rotating shaft is obtained and is intercepted in sections by using a sliding window. The sub-sequences in each sliding window are respectively decomposed by three-layer wavelet packet, the energy distribution and information energy entropy are obtained and are screened in sections, and the micro-oscillation candidate area is obtained. The tool geometric model and local surface data are called, the minimum distance between the swept envelope surface and the theoretical machined surface is obtained, and the micro-oscillation candidate area is verified in combination with the safety threshold. The oscillation fundamental frequency and peak-to-peak value of the micro-oscillation candidate area passing the verification are extracted, and the frequency band is classified in combination with the mechanical resonance frequency table of the rotating shaft. The fitness function is solved according to the classification result and the improved particle swarm algorithm, and the optimal suppression parameter is obtained. The optimal suppression parameter is input to the five-axis machining center for machining control, which is conducive to balancing the machining precision and efficiency.

The invention discloses a short-wave rapid link establishment and dynamic frequency selection method based on multiple channels and a broadband receiver, which comprises the following steps of: setting a dynamic frequency table at a station, and circularly sending a detection signal by using multiple channels according to the priority of candidate frequency points; the terminal uses a broadband receiver to capture signals of the whole frequency band, determines frequency points according to a time-frequency two-dimensional energy image, evaluates all the captured frequency points in one-time detection, replies by using the optimal frequency point, and attaches evaluation information of each frequency point. And the station records evaluation information after receiving the reply, and determines a final service frequency point to start time division communication. And the station continuously receives the evaluation information in the subsequent detection report time slot, compares the service frequency point with other frequency points, and decides whether to switch. And the station dynamically updates the frequency table according to the evaluation state, when the communication is interrupted, the two parties start to reestablish the link, and the station sends the detection signal according to the priority. According to the invention, through parallel detection, broadband rapid search and dynamic frequency table management, the link establishment speed and the link stability can be significantly improved.

A method includes: receiving a ranging signal from the transmitter comprising a set of multiplexed sub-signals, each multiplexed sub-signal characterized by a frequency in a set of frequencies; calculating a time-based time-of-arrival estimate based on the series of time-domain samples of the ranging signal; calculating a time-based uncertainty of the time-based time-of-arrival; for each sub-signal pair in a subset of multiplexed sub-signals of the set of multiplexed sub-signals, extracting a phase difference of the sub-signal pair; calculating a phase-based time-of-arrival estimate based on the phase difference of each sub-signal pair in the subset of multiplexed sub-signals; calculating a phase-based uncertainty of the phase-based time-of-arrival estimate; and calculating a hybrid time-of-arrival estimate as a weighted combination of the time-based time-of-arrival estimate, the phase-based time-of-arrival estimate, based on the time-based uncertainty and the phase-based uncertainty.