371 results about "Digital filter" patented technology

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention relates to the technical field of welding, in particular to a hot riveting welding head synchronous temperature control method and system based on the temperature change rate, and the method comprises the steps: executing full-power heating pulse triggering operation on a welding head, calculating the pulse duration according to a start timestamp and an end timestamp, calculating the temperature rise, and eliminating peak noise through a digital filtering algorithm; environment temperature and relative humidity are collected in real time, and equivalent heat capacity is calculated; the initial temperature difference between any welding heads is calculated, and a dynamic target temperature curve is constructed; and calculating an actual temperature change rate, synchronously extracting a target change rate of the dynamic target curve at a corresponding moment, calculating a change rate deviation between the two change rates, judging whether intervention adjustment is needed or not, calculating an output signal by using an incremental PID algorithm if intervention adjustment is needed, and adjusting the heating power according to the output signal. According to the scheme, the stability of the hot riveting welding quality is effectively improved by accurately quantifying the thermal characteristics of the heterogeneous welding head, dynamically planning a personalized temperature rising track and performing high-frequency closed-loop regulation and control.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention relates to the technical field of micro electro mechanical system sensors and signal processing, in particular to an acceleration sensor temperature drift compensation method and device and electronic equipment, and the method comprises the steps: obtaining the dynamic response data of an acceleration sensor at a plurality of working temperatures; fitting the dynamic response data to obtain a physical parameter and a continuous time transfer function of the acceleration sensor, and determining a digital filter coefficient according to the physical parameter and the continuous time transfer function; fitting based on the digital filter coefficient and the temperature to obtain a linear drift coefficient of the digital filter coefficient and the temperature, constructing a temperature offset compensation model according to the linear drift coefficient, inputting the working temperature of the acceleration sensor into the temperature offset compensation model, and outputting the digital filter coefficient by the compensation model, and performing temperature drift compensation on the acceleration sensor by using the digital filter coefficient. Therefore, the problems of output distortion caused by the dynamic characteristic of the acceleration sensor along with temperature drift, difficulty in realizing effective temperature self-adaptive dynamic compensation and the like are solved.

The invention relates to a full-dynamic exponential increment type low-delay high-precision analog-to-digital converter, which comprises a loop integrator used for receiving an ith-round input signal, and sequentially performing addition processing and integration processing on the ith-round input signal and a feedback signal calibrated by an (i-1) th round to obtain an ith-round integration signal; the first-order exponential increment error feedback noise shaping SAR quantizer is used for carrying out addition processing and multi-bit quantization on the ith round integral signal and the double (i-1) th round residual signal to obtain an ith round quantization signal; the digital-to-analog conversion module is used for sequentially performing format conversion, mismatch calibration and digital-to-analog conversion on the (i-1) th round of quantized signals in the process of processing the ith round of input signals to obtain feedback signals after the (i-1) th round of calibration; and the digital decimation filter module is used for carrying out digital filtering and down-sampling processing on the ith-round quantized signal to obtain an ith-round Nyquist rate output signal. The system can realize higher significant digits in shorter conversion time.

The invention relates to the technical field of fermentation temperature measurement, in particular to a microbial fermentation temperature high-precision monitoring method and system.The method comprises the steps that correlation between fermentation temperature and fermentation heat data of any fermentation layer at all moments in all time periods is analyzed; determining the data credibility according to the similarity of the fermentation temperature variation trend of any fermentation layer and the fermentation temperature variation trend of all the other fermentation layers, so as to screen out a characteristic time period and a characteristic fermentation layer; and based on the fermentation temperature difference between each moment and the adjacent moment of any characteristic fermentation layer, determining a noise characteristic value to screen out a noise moment, de-noising the fermentation temperature at the noise moment, and monitoring the de-noised fermentation temperature. According to the method, the problem that the real fermentation temperature has no judgment noise and is smoothed when the data is denoised by adopting a traditional digital filtering algorithm is solved, and the precision and the reliability of monitoring the microbial fermentation temperature are improved.

The invention relates to the technical field of radio frequency signal processing, and discloses a digital filtering repair method and system for signal distortion, and the method comprises the steps: obtaining a frequency domain amplitude-frequency response and a phase response; constructing a phase compensation amount by adopting piecewise polynomial fitting and a phase inversion mechanism; a complex number logarithm domain mapping mechanism is adopted to execute composite frequency response inversion; constructing a switchable hybrid digital filter with an amplitude path and a phase path coupled in parallel; multi-band adaptive scheduling is executed; and outputting the radio frequency baseband signal stream. The technical problems that in the prior art, frequency response nonlinear distortion in a broadband range cannot be dealt with by adopting a fixed template or a single-path filter, and particularly, a high-precision and low-delay dynamic compensation effect cannot be realized in a scene that multi-band coupling interference exists in a radio frequency ADC channel with the bandwidth exceeding 800MHz are solved. Due to the fact that the switchable hybrid digital filter is constructed, accurate modeling and flexible recovery of distortion characteristics in broadband signals are achieved.

The invention discloses a root mean square value RMS detection method and system, and belongs to the technical field of measurement and control. Wherein a to-be-detected voltage signal is preprocessed by the filter amplification circuit, a square wave signal synchronous with a sine wave zero crossing point is generated through the zero crossing comparison circuit, a signal period boundary is identified, and an integral number of complete and continuous signal periods are extracted in real time through the period detection module; the cycle information identified by the cycle detection module is transmitted to the data storage and processing module, meanwhile, the sampling signal of the high-speed ADC module is transmitted to the data storage and processing module, and sine wave data sampled by the high-speed ADC module is subjected to point-by-point square operation; the square values in a complete period are accumulated and summed, and an original sampling sequence is not stored; fIR digital filtering is carried out on the RMS values of continuous C periods through a digital filtering module; and the dynamic response performance of the system under different frequency bands is remarkably enhanced while the measurement precision is improved.

Data transceivers including a transmitter configured with a digital filter, and a receiver configured with an equalizer, are equipped with logic to measure a combined pulse response to a symbol generated by the transmitter at an output of the equalizer, adjust the combined pulse response by an impulse response of the digital filter to generate an adjusted pulse response, and modify the digital filter with one or more floating taps based on the adjusted pulse response.

The invention relates to the technical field of industrial safety, and discloses an electrolytic aluminum short circuit port key operation parameter online monitoring and explosion safety protection system which comprises a parameter real-time monitoring module, a threshold activation judgment module, a digital twin modeling module, a risk dynamic prediction module, a protection decision analysis module and an intervention scheme execution module. By constructing a multi-source signal cooperative verification mechanism, when short-circuit parameters are monitored in real time, a self-adaptive digital filtering algorithm is adopted to dynamically match magnetic field intensity and temperature disturbance characteristics, noise stripping and baseline calibration are carried out on original voltage and current signals, the monitoring accuracy of core parameters such as short-circuit resistance is ensured, false alarm triggering is avoided, and real-time monitoring of the short-circuit parameters is realized. And meanwhile, by establishing a parameter credibility scoring model, when signal distortion exceeds a tolerance threshold, a standby sensing channel is automatically switched, so that the risk of production interruption caused by noise pollution is further reduced, and the anti-interference capability and the operation stability of the system are improved.

The invention relates to the technical field of digital filters, and discloses a quantization sensing wide linear minimum error mode adaptive filter, which performs non-uniform low-bit quantization on an input signal and an expected signal by using a quantization parameter to obtain a corresponding quantization value; constructing a linear factor based on the quantization parameter; based on the non-roundness of the input signal, constructing a normalized correlation matrix of the input signal and the linearized error signal, and constructing a compensation matrix in combination with a linear factor; obtaining input signal quantized values at a current moment and a historical moment, constructing an augmented input signal vector, calculating a product of the augmented input signal vector and the compensation matrix, and constructing a corrected input vector; performing wide linear filtering on the corrected input vector to obtain an output signal, and calculating an error signal in combination with an expected signal quantized value; and updating the weight vector at the next moment by using the corrected input vector and the error signal. According to the invention, by introducing a non-uniform low-bit quantization and deviation compensation mechanism, the cost and energy consumption of the analog-to-digital converter are remarkably reduced, and a relatively low steady-state error is kept.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction optimization method and device for a quantum measurement and control link. The method comprises the following steps: determining a digital filter for distortion correction or a pre-distortion waveform output by the digital filter and used for compensating distortion based on a target parameter value of a target system function fusing quantum measurement and control link signal response characteristics; acquiring an output signal of the quantum measurement and control link provided with the digital filter; and in response to the condition that the output signal does not reach the preset standard, updating the target parameter value or the pre-distortion waveform, and returning to execute the step of acquiring the output signal of the quantum measurement and control link provided with the digital filter until the output signal reaches the preset standard. According to the invention, distortion correction of the quantum measurement and control link can be effectively realized.

An ADPLL circuit includes a phase comparator for comparing a phase of a reference clock (REFCLK) input signal with a phase of a digitally controlled oscillator clock (DCO_CLK) signal output from a DCO. The phase comparator includes a first ADC connected to receive a REF_P signal corresponding to the phase of the REFCLK signal via a first switch and output an ADC0 signal and a second ADC connected to receive the signal REF_P via a second switch and output an ADC1 signal. The ADPLL circuit further includes a digital filter for receiving the ADC0 and ADC1 signals and determining therefrom a difference between the phases of the DCO_CLK signal and the REFCLK signal. The digital filter provides a DCO control signal to the DCO to control a frequency of operation of the DCO based on the phase difference.

The invention discloses a low-temperature environment LNG (Liquefied Natural Gas) metering sensor drift compensation method and system, and particularly relates to the technical field of sensor drift compensation. Output data of a sensor are collected and processed, and a temperature compensation model of the sensor is established; in the working temperature range, digital filtering processing is carried out on data of displacement change of each measuring range point, and then analysis and mining are carried out; a data longitudinal interval in a temperature range is refined by using a table look-up method, so that the data interval is reduced. And calculating the G value according to the residual error obtained by the table look-up method and the numerical value change condition in each temperature section. If the G value is greater than a preset threshold value of the system, selecting a proper fitting method, such as a least square method or Legendre orthogonal polynomial fitting, according to the distribution of the G value and the data interval when curve fitting is used, so as to further optimize the temperature compensation model; and if the G value is smaller than the system preset threshold value, no subsequent operation is carried out.

The invention provides an audio signal output method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to an audio playing device access event of an audio playing system, constructing an audio output channel of an accessed audio playing device; determining an initial audio equalizer parameter corresponding to the audio output channel according to the attribute configuration of the audio output channel; performing environment adaptability adjustment on the initial audio equalizer parameter based on the environment characteristics of the accessed audio playing device to obtain a target audio equalizer parameter; generating a digital filter chain corresponding to the audio output channel according to the target audio equalizer parameter; and when the accessed audio playing equipment performs audio playing, adjusting the audio signal to be played through the digital filter chain, and outputting the adjusted audio signal through the audio output channel. According to the invention, the fine listening requirement can be met, and a listener can obtain good auditory experience at any position.

This invention provides a phase code digital low-pass filter circuit and a re-timer based on a PI-based architecture. The phase code digital low-pass filter circuit includes a first accumulation unit and a downsampling decimation module. The first accumulation unit accumulates the initial frequency control information generated by the clock data recovery module of the re-timer to generate a phase signal. The downsampling decimation module downsamples the phase signal to generate a filtered phase code. The filtered phase code is used to generate the transmit channel clock. This invention effectively solves the problems of high implementation cost, large footprint, and easy introduction of additional analog non-ideal factors in existing digital filtering solutions.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction method for a quantum measurement and control link and a quantum computer, and the method comprises the steps: carrying out fractional expansion on a system function in a general expression form, and obtaining a system function expressed by a subitem of a target system function and a sum of products of corresponding coefficients, the target system function subitems are determined according to signal response characteristics of the quantum measurement and control link and comprise a pure zero item, a real pole item and a complex pole item, the pure zero item represents impulse response of finite length of the quantum measurement and control link, the real pole item represents exponential response of the quantum measurement and control link, and the complex pole item represents impulse response of finite length of the quantum measurement and control link. The complex pole item represents the oscillation attenuation response of the quantum measurement and control link; determining the reciprocal of the system function of the quantum measurement and control link as a distortion correction digital filter; a distortion correction digital filter is arranged on the quantum measurement and control link to correct signal distortion of the quantum measurement and control link. According to the invention, the distortion of the quantum measurement and control link can be rapidly corrected.

The invention provides a phase change blasting excitation seismic wave reflection method, a medium, equipment and a product, and relates to the technical field of tunnel engineering, the method comprises the following steps: arranging a detection hole and a plurality of blasting holes in a tunnel face, placing blasting tubes in the blasting holes, placing detectors in the detection hole, and generating seismic waves through phase change blasting; carrying out longitudinal wave and transverse wave separation on seismic wave signals detected by a detector, processing longitudinal waves and transverse waves by adopting a two-dimensional F-K digital filtering method, filtering interference waves, separating effective waves and direct waves, and dividing a data set of the effective waves into a training set and a test set; building a prediction model of the unfavorable geological disaster body in front of the tunnel face based on a support vector machine, and obtaining optimal parameters of the model by using a particle swarm algorithm; and training and testing the model by using the training set and the test set, and applying the tested model to tunnel geological forecast. According to the method, the accuracy of advanced geological forecast of the gas tunnel is improved, and the gas explosion risk is reduced.

The application relates to a compact multi-channel battery pack monitoring integrated circuit which comprises a first multiplexing module, a first incremental modulator and a first digital filter; when the first multiplexing module samples the nth first battery monomer, the first multiplexing module receives a first voltage signal and a second voltage signal of the nth first battery monomer, samples the first voltage signal and the second voltage signal of the nth first battery monomer in a first state, and transmits voltage difference information between the first voltage signal and the second voltage signal of the nth first battery monomer to the first incremental modulator in a second state; the first incremental modulator converts the voltage difference information between the first voltage signal and the second voltage signal of the nth first battery monomer into a first digital bit stream; and the first digital filter carries out digital processing on the first digital bit stream according to an extraction algorithm to obtain a digital signal. The application provides a compact and high-precision battery monitoring circuit.

The application belongs to the field of aero-engines, and particularly relates to a real-time correction and repair calculation method for dynamic temperature data of an aero-engine. The method comprises the following steps: step one, correcting the dynamic temperature data, including: S1.1, performing digital filtering processing on the dynamic temperature data; S1.2, performing dynamic error correction on the dynamic temperature data; and step two, repairing bad point data in the dynamic temperature data. The real-time correction and repair calculation method for the dynamic temperature data of the aero-engine not only solves the problem of real-time correction of the dynamic temperature data in an experimental site, but also solves the problem of repairing damaged temperature measuring points through an algorithm.

The present invention relates to a personal awareness system that provides users physical health / wellness / welfare safety as well as online digital safety by blocking inappropriate digital content. The personal awareness system comprises a network protection appliance for use on a local area network (LAN), a software application that is used on a mobile computing device, a cloud-based remote data processing resource to administer the system, artificial intelligence (AI) information systems, and a monitor computing device that an observer can use to monitor, track, and receive alerts related to the user. The system can support many users individually as well as groups of users. In operation, sensors associated with the mobile computing device monitor the health, wellness, and location of users and digital filter rules suppress inappropriate digital content from user access providing digital safety. The mobile computing device seamlessly transitions between LAN environments and wireless mobile environments.

The application discloses a signal interference strategy generation method and device based on deep learning, and a medium, and relates to the technical field of signal interference. The method comprises the following steps: calculating initial path rain attenuation values corresponding to reference level sampling data and real-time level sampling data; filtering a wet antenna attenuation component of the real-time level sampling data through digital filtering based on the initial path rain attenuation values, and determining pure path rain attenuation values of each communication link; inverting the pure path rain attenuation values to obtain path average rain intensities corresponding to each communication link; performing spatial interpolation optimization on a preset interference area to determine a two-dimensional rainfall intensity distribution map; calculating signal propagation time delay of an interference target ray track to obtain interference target corrected coordinates; and determining an interference strategy corresponding to the interference target through link interference parameter calculation and interference window prediction. The application solves the technical problem that the signal interference strategy in the prior art cannot meet the dynamic requirements of an interference signal link in a rainfall environment.

The application discloses a high-speed sampling data real-time extraction method based on parallel digital filters, which comprises the following steps: collecting a measured signal through a collection system of a mixed domain oscilloscope to obtain parallel multi-channel signals; realizing large-multiple real-time extraction filtering through a parallel CIC filter and a cascaded parallel half-band filter to obtain serial data; and finally performing serial extraction on the serial data to obtain output data, so that the frequency resolution of the spectrum analysis function of the oscilloscope can be significantly improved without increasing the FFT length.

A wireless device is configured to transmit radar signals at extremely low spectral density so that the receiver can be operated at the same time without saturating and thereby enabling full-duplex operation. To achieve sufficient range, beamforming is used together with a very long correlation time for detection of the radar signal, in which case the receiver can resolve backscattered or reflected radar signals far below the noise floor, while the bandwidth of the transmitted radar signal can be very high. The wide bandwidth enables the wireless device to maintain a low power spectral density while increasing output power, and also increase the depth resolution. The extremely low power spectral density even in the transmission beam direction makes the probability that communication will be disturbed very low. The high bandwidth calls for digital filters for both transmitted and received signals to equalize the radar frequency response characteristics of the radio unit.

Adaptive equalization circuitry includes: a digital filter receiving a first polarization signal and a second polarization signal subjected to polarization separation and performing further polarization separation processing; filter tap coefficient update circuitry updating a tap coefficient of the digital filter according to fluctuation in a polarization state; a polarization, separation monitor comparing a correlation value between the first polarization signal and the second polarization signal output from the digital filter with a predetermined value; and control circuitry causing the filter tap coefficient update circuitry to execute initial convergence of the tap coefficient again when the polarization separation monitor detects that the correlation value exceeds the predetermined value.

The application discloses a Helicobacter pylori breath test signal denoising fitting method and system, and belongs to the technical field of medical detection and signal processing. The method processes the continuous monitoring signal of the 13CO2 / 12CO2 isotope ratio in exhalation: firstly, the original signal is subjected to band-pass digital filtering to suppress high-frequency noise; then, low-frequency drift is eliminated through adaptive baseline correction to generate a drift-removed signal; subsequently, a robust peak value recognition algorithm is used to extract physiological response characteristics; finally, the identified peak value is taken as the center, a nonlinear function with physiological constraints is used for local fitting, and the Delta Over Baseline value is calculated based on the generated fitting curve with high precision. The application effectively solves the signal distortion problem caused by breathing fluctuations, instrument noise and the like in in vivo detection, realizes high-fidelity restoration of the Helicobacter pylori metabolic response, and significantly improves the detection accuracy and reliability of the breath test.

The invention discloses a hybrid high-precision frequency weighting method and system and electronic equipment, and the method comprises the steps: obtaining an original sound signal, carrying out the analog-to-digital conversion, and carrying out the preprocessing of the sound signal after the analog-to-digital conversion, so as to obtain a signal frequency spectrum; segmenting the signal spectrum, and weighting each segment to obtain a first weighting sound level and a second weighting sound level; superposing the first weighted sound level and the second weighted sound level to determine a total weighted sound level; and performing dynamic error calibration on the total weighted sound level, determining a standard error, and when the standard error is smaller than or equal to a preset error threshold value, outputting the total weighted sound level. According to the invention, a differentiated optimization strategy is adopted, and the attenuation deviation of a traditional digital filter in a low-frequency area is effectively corrected in a low-frequency band; in the middle and high frequency bands, the accuracy is ensured, meanwhile, the occupation of operation resources is remarkably reduced, the signal processing delay time is shortened, and the response requirement of real-time noise monitoring can be met.

The present application relates to a kind of load self-awareness wide range error calibration method and system for internet of things electric energy meter.The method obtains the cycle level voltage, current sampling data and current range state of electric energy meter, extracts current step slope, power factor mutation quantity and harmonic envelope attenuation characteristics, judges whether range boundary event occurs, and determines the range boundary residual window caused by sampling front end gain switching, holding capacitor release and digital filter history state residue.In the residual window, the update of current gain, active power gain, phase compensation and other calibration coefficients is frozen, while normal electric energy metering is maintained;After the end of the residual window, generate or call residual fading template based on stable samples before and after the boundary, and gradually release calibration update weight according to cycle.The present application can reduce the risk of wide range calibration parameter pollution by transition sample in load mutation scene, and improve the stability of internet of things electric energy meter online calibration.

The utility model relates to tire performance test equipment technical field provides a kind of tire vibration signal mechanical filtering device, comprising: mounting base, damping material and vibration sensor mounting seat, the mounting base is fixedly installed on the wheel axle of tire high-speed endurance testing machine, vibration sensor mounting seat bottom is set in the recess on mounting base, the connecting place of vibration sensor mounting seat and mounting base is filled with damping material, vibration sensor is provided on vibration sensor mounting seat, damping material split type is set, the utility model uses mechanical filtering device, filters out the testing machine vibration signal of high frequency, so that the vibration signal of more clear and understandable expression tire is shown vibration signal, compared with traditional digital filtering signal, can filter out interference signal from source, more effectively process high-frequency impact and other abnormal signals, and mounting base, damping material and vibration sensor mounting seat are convenient for installation connection between.