15 results about "Large peak" patented technology

The invention discloses a power line carrier signal synchronization method and device based on an OFDMA system, and belongs to the technical field of power line carrier communication. The method comprises the following steps: performing cross-correlation processing on a received signal and a reference sequence to obtain a target cross-correlation result, and performing self-correlation operation on the target cross-correlation result and a target historical cross-correlation result to obtain a target self-correlation result; analyzing the position of a first target autocorrelation peak in the received signal based on the target autocorrelation result; the first target autocorrelation peak is the autocorrelation peak with the maximum peak value in the received signal; determining a first window including the first target autocorrelation peak according to the position of the first target autocorrelation peak; and determining the position of a synchronization peak in the received signal based on the position of the autocorrelation peak in the first window. According to the invention, the autocorrelation peak is determined by combining cross-correlation and autocorrelation, and the position of the synchronization peak is determined by integrating the position of the autocorrelation peak in the first window, so that the accuracy of signal synchronization is improved.

The application provides a signal peak-to-average ratio suppression method and system, an electronic device and a storage medium. The peak-to-average ratios of transmission sequences corresponding to two factor sequences before and after flipping of a phase rotation factor of each signal block are sequentially compared, the phase rotation factor with a smaller peak-to-average ratio of the signal block is determined, and the phase rotation factor with a larger peak-to-average ratio of the signal block is no longer considered in the comparison process of subsequent signal blocks. Thus, the number of peak-to-average ratio calculations and comparisons is reduced, and the calculation complexity and calculation time are greatly reduced while ensuring a certain peak-to-average ratio suppression effect.

A single-input dual-output (SIDO) analog-to-digital converter (ADC) is disclosed. Herein, the SIDO ADC is configured to receive an analog input voltage and concurrently output a digital average and a digital peak of the received analog input voltage. Moreover, the SIDO ADC can be configured with a configurable dynamic range to output the digital average and the digital peak with sufficient granularity when the analog input voltage is associated with a larger peak-to-average ratio (PAR). As such, the SIDO ADC can effectively overcome the limitations in an existing single-input single-output (SISO) ADC.

To provide a peeling apparatus and a signal processing method capable of identifying the positional information of the butt joints of rod materials continuously supplied to the peeling apparatus. [Solution] From the source signal output from the peeling device, a main signal is obtained that includes a first peak caused by the butt joint of the bar passing through any part of the peeling device, a second peak caused by noise, and, if a processing abnormality occurs during processing of the bar, a third peak caused by the processing abnormality. Simultaneously, one or more sub-signals are obtained from the source signal to identify the first peak included in the main signal. Furthermore, an assumed boundary range in which the first peak is expected to appear is calculated based on the sub-signals, and the largest peak that appears within the assumed boundary range of the main signal is identified as the first peak.

The present application discloses a method, device, medium and equipment for data-dependent jitter separation, which relates to the technical field of digital signal processing. Based on the traditional DDJ segmentation mode, the present application collects data of the input serial signal and segments it according to the period, calculates the DDJ data-dependent jitter after summing and averaging, and then separates the time interval error TIE according to the edge, so as to calculate the inter-symbol interference ISI and the duty cycle distortion DCD. It does not involve making a histogram statistics on the TIE, avoiding the problems of difficult confirmation of the histogram statistics interval due to the small code pattern length within a repeated period, and too large histogram statistics interval due to the too long code pattern within a repeated period, resulting in large peak errors in the statistical histogram and jitter separation errors, improving the effect of data-dependent jitter separation. At the same time, the processing speed is fast, the resource occupancy is small, and it can be applied to measurement systems with high real-time requirements for processing speed.

The embodiment of the present application discloses a dead time control circuit and method. In a specific embodiment, the circuit comprises a feedback circuit for generating a first enable signal and a second enable signal when a modulation signal is high; wherein the first enable signal is low for controlling the lower tube to be closed; a floating ground circuit for outputting an upper tube gate control signal when the second enable signal is high; and an upper tube gate potential detection circuit for opening the upper tube when the upper tube gate control signal is low. The embodiment automatically adjusts the discharge delay time without any manual setting intervention, ensures that the upper and lower tubes are not connected, and the discharge delay is as small as possible, thereby preventing large peak current from burning the power tube and chip, ensuring the performance of the chip while improving the reliability of the chip.

The present application discloses a data-dependent jitter separation method, device, medium and equipment, and relates to the field of digital signal processing technology. The present application is based on the traditional DDJ segmentation mode, collects data from the input serial signal and segments it according to the period, calculates the DDJ data-dependent jitter after summing and averaging, and then separates the time interval error TIE according to the edge, thereby calculating the inter-symbol interference ISI and duty cycle distortion DCD, and does not involve histogram statistics of TIE, thus avoiding the problem that the interval of histogram statistics is difficult to confirm due to the short length of the code type in a repetition period, and the code type in a repetition period is too long, the interval of the histogram statistics is too large, resulting in a large error in the peak value of the statistical histogram and causing jitter separation error, thereby improving the effect of data-dependent jitter separation, and at the same time, the processing speed is faster, less resources are occupied, and it can be applied to measurement systems with high requirements for real-time processing speed.

This invention belongs to the field of fault diagnosis technology, specifically relating to a method and system for extracting fault features from bearing data. The method includes the following steps: S1, dividing the acquired bearing vibration signal into multiple frequency bands and calculating the envelope spectrum of each band; selecting the frequency band with the largest peak amplitude in the envelope spectrum; determining the main peak frequency of the envelope spectrum as the fault characteristic frequency; and converting it to obtain the fault impact period T; S2, calculating the autocorrelation function of the bearing vibration signal; determining the length L of the FIR filter based on the attenuation characteristics of the autocorrelation function and the fault impact period T; and performing periodic synchronous averaging of the bearing vibration signal based on the fault impact period T. This invention solves the problem of easily amplifying interference or losing effective information under strong noise, making the extracted fault features purer and more prominent in the envelope spectrum, thus enhancing the ability to identify early, weak faults.

The invention belongs to the technical field of power station pipe network leakage detection, and relates to a power station pipe network leakage positioning detection method and system. Comprising the following steps: collecting pressure data of a power station pipe network in real time; if the pressure data is greater than the historical abnormal large peak data, performing video shooting on the power station pipe network; spectral analysis is conducted on the pressure data within the preset time, if tiny pressure abnormity exists, the frequency corresponding to the tiny pressure abnormity is obtained, and periodical photo shooting is conducted on the power station pipe network according to the frequency; based on the video or the picture, analyzing a leakage type and positioning a leakage position; according to the invention, accurate detection of the leakage type can be realized, and the response speed of leakage detection is shortened.

The invention discloses a transformer substation main transformer load peak-valley difference balance optimization method and system, and belongs to the field of power system dispatching automation. According to the method, the transformer substation main transformer load peak-valley difference is periodically taken as a target object, and the peak-valley difference of the transformer substation main transformer load is calculated according to the historical power grid operation load and the peak clipping coefficient within the manually set time range; the method comprises the following steps: automatically calculating a main transformer needing peak shifting optimization, analyzing all line load rates under the main transformer in combination with a current power distribution network topology and an operation mode, intelligently generating a transfer scheme according to a specific priority strategy, transferring line loads, reducing the line load rate of the original main transformer, and improving the optimization efficiency of the power distribution network. Therefore, peak shifting and re-balancing of load distribution of the main transformer lines among the regions are realized, a new line operation mode is formed, the targets of optimizing regional load peak shifting and increasing the accessible capacity are achieved, and a feasible solution is provided for solving the problem of large peak-valley difference of the main transformer loads.

The present application provides a method and system for identifying unknown OFDM signal frame structure parameters, which relates to the field of drone detection, including: receiving an unknown OFDM signal frame sequence sent by a transmitting device in an OFDM system, intercepting an unknown OFDM signal frame from the unknown OFDM signal frame sequence; calculating the signal bandwidth of the unknown OFDM signal frame, using the signal bandwidth as a known sampling rate, resampling the unknown OFDM signal frame, and performing an autocorrelation operation on the first sampled signal frame; using the CP of each OFDM symbol in the first sampled signal frame as a reference feature, identifying the maximum peak and the second largest peak in the autocorrelation operation result, and calculating the sampling point difference between the maximum peak and the second largest peak; and identifying the frame structure parameters of the OFDM system according to the sampling point difference. The present application improves the recognition accuracy and reliability of the frame structure parameters.

The present application discloses a power line carrier signal synchronization method and device based on an OFDMA system, which belongs to the field of power line carrier communication technology. The method includes: performing cross-correlation processing on the received signal and a reference sequence to obtain a target cross-correlation result, and performing autocorrelation operation on the target cross-correlation result and the target historical cross-correlation result to obtain a target autocorrelation result; analyzing the position of the first target autocorrelation peak in the received signal based on the target autocorrelation result; the first target autocorrelation peak is the autocorrelation peak with the largest peak value in the received signal; determining the first window including the first target autocorrelation peak according to the position of the first target autocorrelation peak; determining the synchronization peak position in the received signal based on the position of the autocorrelation peak in the first window. The present application determines the autocorrelation peak by combining cross-correlation and autocorrelation, and determines the synchronization peak position by combining the position of the autocorrelation peak in the first window, thereby improving the accuracy of signal synchronization.

The application discloses a ZP89 type frequency shift signal center frequency detection method, equipment and a storage medium, the method comprises the following steps: sampling the ZP89 type frequency shift signal by an undersampling method; performing FFT analysis on the sampling data; finding six peaks, i.e., left and right main peaks and corresponding left and right secondary peaks, on the spectrum obtained in step two; selecting the two largest peak values or four peak values according to the ratio of the left secondary peak amplitude of the left main peak or the right secondary peak amplitude of the right main peak to complete energy barycenter correction of a t point, and obtaining corrected peak values; calculating the undersampling center frequency according to the corrected peak values obtained in step three; and performing spectrum restoration on the calculation result of step four to obtain the ZP89 type frequency shift signal center frequency. The scheme improves the frequency resolution through energy barycenter correction, and further improves the calculation accuracy; and the combination of the two-peak method and the four-peak method solves the problem of large center frequency jumping that may occur in frequency domain analysis.

The invention relates to a parallel processor, an automatic frequency modulation method thereof and electronic equipment. The method comprises the following steps: predicting load information of a parallel processor when loading a calculation task, wherein the load information comprises a maximum load, a minimum load and an average load; according to the load information, the rated power consumption of the parallel processor and a preset power consumption model, predicting the maximum working frequency, the minimum working frequency and the average working frequency when the parallel processor runs the calculation task; the power consumption model is used for representing the relationship among the load, frequency and power consumption; and adjusting the frequency of the parallel processor to the average working frequency to start running, and dynamically adjusting the working frequency of the parallel processor within the maximum working frequency and the minimum working frequency according to the real-time power consumption of the parallel processor during running of the calculation task, so that the power consumption of the parallel processor is maintained at the rated power consumption. According to the invention, the problems of slow frequency rising and large peak current in the operation process of the existing parallel processor can be improved.

Method for determining a distance between two units (1,2), wherein the method comprises: Executing a double-sided two-way distance measurement protocol (S200), wherein the latter causes the two units (1,2) to send and receive signals, each of the signals being a composite tone generated as a composition of two waveforms separated in time by a gap such that the composition forms a bipolar waveform, wherein: the two units (1,2) comprise a first unit and a second unit; the sent and received signals comprise a first signal and a second signal; and The execution of the double-sided two-way distance measurement protocol (S200) causes the first unit to perform a group of steps comprising: Sending the first signal to the second unit at a first time; Receiving the second signal, which was sent by the second unit after receiving the first signal, at a second time, and Correlating an expected signal with a first comparison element, the latter being obtained on the basis of the received second signal, to determine a first time interval between the first time and the second time and accordingly derive the distance between the two units (1,2), where the first unit further includes the following group of steps: Triggering an audio recording prior to the transmission of the first signal, wherein the first comparison element is obtained by recording both the transmitted first signal and the received second signal; and Correlating a representation of the first signal with the first comparison element to determine the first time point, wherein the expected signal is correlated with the first comparison element to determine the second time point, wherein the first unit determines the first time interval as a difference between the determined second time point and the determined first time point; wherein the representation of the first signal and the expected signal are correlated with the first comparison element to obtain corresponding cross-correlation signals, each exhibiting a triple-peak pattern showing two smaller peaks separated by a larger peak.