76 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 data processing, in particular to a cargo supply chain data tracing method and system based on a block chain, and the method specifically comprises the steps: constructing each contract vector between participants through the cargo transaction information between the participants in a cargo supply chain; taking each participant as each node, determining a first transaction repetition risk between the nodes at each transaction interval based on the similarity of vectors in the contract vectors accumulated at each transaction interval, and using the first transaction repetition risk for a time period transaction form; constructing a sensitive identification code based on the amplitude change in the frequency table corresponding to the form; determining an abnormal contract based on the difference between the sensitive identification codes of the adjacent transaction periods; and the abnormal contracts are uniformly signed as new contracts to be stored in the block chain, so that nodes which subsequently find the abnormal contracts can perform abnormal traceability. The problem that the transaction behavior risk change sensitivity between the nodes is insufficiently distinguished due to the fact that the transaction behavior risk change sensitivity between the nodes is distinguished only through a static identifier and other preset passwords on the contract is avoided; and the traceability speed and precision of the supply chain data are improved.

The embodiment of the invention provides a model training method and device, electronic equipment and a storage medium, and relates to the technical field of deep learning, and the method comprises the steps: carrying out the word segmentation of a theme document, and obtaining a word segmentation list; a sliding window for the word segmentation list is obtained, word frequency statistics is conducted on the word segmentation list according to the sliding window, and a global word frequency list corresponding to the word segmentation list is obtained; performing feature statistics on the global word frequency table to obtain corresponding sparse features; performing feature fusion on the sparse features according to the global word frequency table to obtain a dense matrix; obtaining a domain dictionary corresponding to the subject document, and performing weighting processing on the dense matrix according to the domain dictionary to obtain a corresponding mixed feature matrix; and training the initial classifier to be trained according to the mixed feature matrix to obtain a trained target classifier, thereby effectively reducing dependence on manual annotation, forming an end-to-end cold start solution, reducing noise interference in a model training process, and shortening a training period.

The invention relates to the technical field of data compression, in particular to an adaptive data compression method based on deep learning, which comprises the following steps: constructing a coding and decoding model based on a UNet network architecture and a context association model based on an LSTM network architecture; generating a semantic segmentation map and a plurality of coding feature maps from the image data through a coding and decoding model; generating a sub-block coefficient probability from the coding feature map and the image data through a context association model; generating a sub-block adjustment coefficient for the semantic segmentation map through image sub-block mapping; generating a dynamic sub-block coefficient probability based on the sub-block coefficient probability and the sub-block adjustment coefficient; a frequency table of an arithmetic encoder is set according to the dynamic sub-block coefficient probability to compress the image data. According to the method, the image coding of the UNet architecture is modeled through the context association capability of the LSTM, the quantization coefficient probability prediction adaptive to different sub-block scenes is realized, the prediction precision is remarkably improved, and the fluctuation range of the compression ratio is narrowed.

The invention discloses a Huffman coding method, a coding device, a chip and a storage medium. The Huffman encoding method comprises the following steps: acquiring a character string to be encoded and associated encoding information, wherein the encoding information comprises the length of the character string to be encoded, an alphabet to which the character string belongs and the limited code length to be encoded; scanning symbols of the character 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 character string to be coded based on the preset scanning length; determining a reference frequency for frequency adjustment according to a preset scanning length and a limited code length, so as to optimize the symbol frequency table based on the reference frequency; generating a Huffman codebook for the character string to be coded according to the optimized symbol frequency table; and encoding the character string to be encoded by using the Huffman codebook, and outputting a corresponding encoding result. The method can adapt to different scanning schedules, constructs the codebook meeting the limited code length, and effectively improves the Huffman coding speed.

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 relates to the technical field of computers, and discloses a full-link service request aggregation analysis method, system and device and a medium. The method comprises the following steps: acquiring all target path segments corresponding to a target path; querying whether each target path segment exists in a preset segment frequency table or not; if the target path segment exists in the preset segment frequency table, obtaining a serial number of the target path segment in the preset segment frequency table, and judging whether the serial number is smaller than a preset numerical value or not; if the target path segment does not exist in the preset segment frequency table or the serial number is greater than or equal to a preset value, updating the target path segment to a first preset symbol; and generating a standard path based on the processed contents of all the target path segments, and obtaining target service data based on the standard path. Through the scheme of the invention, the classification precision and the processing performance of the service request data can be more prominent, and the system is ensured to have higher real-time performance and reliability in the aspects of service monitoring, performance analysis, anomaly detection and the like.

A method for classifying temporally subsequent digital audio data, the audio data describing an acoustic signal representing a dangerous situation, is described, the method comprising the following steps: calculating a plurality of frequency expressions for progressively progressive time intervals of the temporally subsequent audio data; forming a determined number of frequency segments for each octave of each individual frequency expression, wherein the frequency segments comprise a subset of the individual frequency expressions; adding the corresponding frequency segments of the octave of each individual frequency expression; calculating frequency components by forming an average value for each of the added frequency segments in the individual frequency expressions; generating a classification vector with the aid of a classifier and the number of frequency components of the plurality of frequency expressions, wherein the classifier is designed to classify a signal representing a dangerous situation described by the corresponding temporally subsequent digital audio data with the aid of the corresponding number of frequency components of the plurality of frequency expressions and to associate the classified classification vector with the corresponding value.

A system and method for manipulation of compacted data files, utilizing a reference codebook, a random-access engine, a data deconstruction engine, and a data deconstruction engine. The system may receive a data query pertaining to a data read or data write request, wherein the data file to be read from or written to is a compacted data file. A random-access engine may facilitate data manipulation processes by accessing a reference codebook associated with the compacted data file, a frequency table used to construct the reference codebook, and data query details. A data read request is supported by random-access search capabilities that may enable the locating and decoding of the bits corresponding to data query details. A random-access engine facilitates data write processes. The random-access engine may encode the data to be written, insert the encoded data into a compacted data file, and update the codebook as needed.

The invention discloses a microprocessor frequency modulation and voltage regulation device and method for industrial control. The device is composed of a plurality of modules which are connected with one another. The parameter acquisition module acquires initial and current measurement parameter sets of the microprocessor; the performance degradation adaptation module calculates a performance loss factor according to the coefficients beta and gamma of the processor and the initial and current measurement parameter sets; the voltage frequency execution optimization module processes the initial voltage frequency table according to the configuration mode and the loss factor to generate a configuration table, adjusts the voltage and the dominant frequency and configures the voltage and the dominant frequency to the first voltage frequency adaptation module; and the voltage frequency configuration test module tests the adjusted voltage and main frequency and feeds back a result, and if the test result is qualified, the voltage frequency execution optimization module acts an adjustment value on the second voltage frequency adaptation module. According to the embodiment, through cooperation of all the modules, the working dominant frequency of the microprocessor is improved, real-time data operation is carried out by fully utilizing floating point instructions, and meanwhile long-term stable operation of the microprocessor can be ensured.

The invention relates to a sparse time-frequency-frequency modulation rate representation reconstruction method based on tail minimization, and the method comprises the steps: building a parameterized sparse optimization model, carrying out the solving of the parameterized sparse optimization model through an alternating direction multiplier method, and carrying out the solving of a next round of multiple times of iteration. And calculating a tail support set of frequency-modulation rate reconstruction representation obtained by the current iteration, updating the global optimization variable according to the tail support set, and substituting the global optimization variable into the subsequent solution of the alternating direction multiplier method, so that the target support set energy in the global optimization variable is more prominent in the multiple solution processes, and the target support set energy in the global optimization variable is more accurate. By adopting the method, the target micro-motion features extracted in a complex scene can be more accurate.

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.

The present invention provides a method, system, electronic device and storage medium for scoring examination questions, belonging to the field of examination evaluation. The method includes: constructing a word frequency table for an examination subject, where the word frequency table includes the frequencies of various words in the subject; performing word frequency statistics on the desensitized examination question data, and using the word frequency table to convert the desensitized examination question data into the corresponding words in the word frequency table according to the frequency to generate a pseudo-text of the examination questions; scoring the generated pseudo-text of the examination questions based on a pre-constructed examination question scoring model to obtain an examination question scoring result; wherein the examination question scoring model is a joint scoring model based on a classification task and a regression task constructed on a base model after domain adaptation pre-training. By adopting the methods of pseudo-text conversion and domain adaptation pre-training, the understanding of the base model for domain knowledge is improved; moreover, a joint scoring model is introduced to perform machine scoring cross-verification, improving the accuracy and reliability of scoring.

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.

Methods, apparatus, systems, and articles of manufacture are disclosed to perform time alignment for watermarks. An example apparatus adjusts a power value of an element of a template based on respective average magnitudes and respective tonality ratios corresponding to a plurality of frequency representations of a media signal, the media signal to be encoded with at least one watermark, the element corresponding to one of the plurality of frequency representations. Additionally, the example apparatus computes an alignment of the template to the media signal based on respective power values of elements of the template, the template corresponding to a type of the at least one watermark. The example apparatus also encodes the media signal with the at least one watermark according to the alignment.

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.

Method for determining a permittivity spectrum of a transmission line, the method comprising the steps of: Obtaining (301) a frequency reflectogram for a transmission line, Determining (303), from the frequency reflectogram, an estimate of the transfer function of the transmission line, Calculating (304, 305), from the phase of the transfer function, the real and / or imaginary part of a permittivity spectrum. Figure 3

The invention discloses a voltage frequency generation method for frequency modulation nonlinear compensation of a voltage-controlled oscillator, and the method comprises the steps: selecting voltage values from a linear voltage frequency table one by one at different working environment temperatures, so as to control the voltage-controlled oscillator to generate a voltage-controlled signal source corresponding to each voltage value; selecting a part of signals from each voltage-controlled signal source as voltage-controlled reference signals, and calculating a frequency value corresponding to each voltage value based on the voltage-controlled reference signals; performing nonlinear correction on the frequency value corresponding to each voltage value to form a nonlinear voltage frequency table corresponding to different working environment temperatures; according to the invention, possible nonlinear characteristics of the voltage-controlled oscillator at the current temperature can be compensated in advance, and the problems of frequency modulation nonlinearity, excessive sensitivity to temperature and the like of the voltage-controlled oscillator are solved.

A method of video processing includes performing a conversion between a video comprising video units and a coded representation of the video, wherein, when processing a video unit in the conversion, one or more frequency tables are selectively updated to include information about frequencies of one or more intra-prediction modes of the video unit used in the processing, wherein the frequencies indicate occurrences of the one or more intra-prediction modes used for the conversion, and wherein, when processing the video unit, one or more ordered intra-prediction mode (IPM) tables are selectively updated to indicate the one or more intra-prediction modes used in the processing.

A method includes receiving a microphone audio signal and a playout audio signal, and determining a frequency representation of the microphone audio signal and a frequency representation of the playout audio signal. For each frequency representation, the method also includes determining features based on the frequency representation. Each feature corresponds to a pair of frequencies of the frequency representation and a period of time between the pair of frequencies. The method also includes determining that a match occurs between a first feature based on the frequency representation of the microphone audio signal and a second feature based on the frequency representation of the playout audio signal, and determining that a delay value between the first feature and the second feature corresponds to an echo within the microphone audio signal.

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.

The present application relates to a sparse time-frequency-chirp rate characterization reconstruction method based on tail minimization. After constructing a parametric sparse optimization model and using the alternating direction method of multipliers (ADMM) to solve it, at the end of multiple iterations in one round of solution, the tail support set of the frequency-chirp rate reconstruction characterization obtained in the current iteration is calculated, and the global optimization variable is updated according to the tail support set, and then it is brought into the subsequent solution of the ADMM, so that in the process of multiple solutions, the energy of the target support set in the global optimization variable is more prominent. Using this method can make the target micro-motion features extracted in complex scenarios more accurate.

The present invention relates to the field of wireless communication technology, and more particularly to a method and system for estimating and identifying in-band interference signals. The method comprises: S1: selecting different communication frequency tables and inputting channel estimation control parameters from an FCS communication radio interface, setting each communication frequency table containing N1 communication frequency points to {f0, f1, f2, ... f n‑1}, where the number of communication channels is N and the channel bandwidth is Δf; S2: Evaluate the channel quality parameters of each communication channel in the communication frequency table to obtain a channel quality level table with N communication channel quality levels; S3: Use the channel quality level table to complete a round of judgment of the communication channel quality of the communication frequency table in passive mode, thereby making a frequency selection decision. The present invention implements channel quality evaluation through a combination of active and passive modes, significantly reducing the time and computational complexity of interference signal identification and processing, and enabling rapid selection of the optimal communication channel.

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.