229 results about "Signal correction" patented technology

The invention relates to the field of crystal detection, and discloses a multifunctional comprehensive scintillation crystal and semiconductor material energy spectrum test system, which comprises a crystal adaptation module for judging the type and size of a placed crystal through an optical identification and parameter matching mechanism, and a signal acquisition module for amplifying, filtering and digitally processing an acquired signal, the signal correction module is used for correcting waveform distortion and baseline drift through a dynamic gain adjustment algorithm of a low-noise pre-amplifier and a multi-channel pulse analyzer; the data analysis module is used for generating an energy spectrum curve according to input signals and calculating energy resolution, counting rate, light attenuation time or carrier mobility, and the environment calibration module is used for dynamically evaluating shading degree, environment light, temperature and electromagnetic interference through an optical sensor and a temperature and humidity detector in the camera obscura and outputting updated calibration parameters. The method has the advantages of improving the detection efficiency, precision and consistency.

The invention relates to the technical field of automobile fault detection, and discloses a self-adaptive optimization method and system of an automobile fault detection system and a storage medium. The method comprises the following steps: performing real-time detection on attitude data based on a preset inclination angle threshold value and steering signal delay, and generating angular velocity sensing data and a vibration interference identification result; performing characteristic decomposition on the attitude data stream, identifying abnormal fluctuation, judging whether a potential fault signal exists or not, updating the calibration frequency of the vehicle-mounted sensor, and obtaining adjusted parameter configuration information; a fusion result of the attitude data is analyzed, an evaluation index of deviation correction precision is calculated, a real-time feedback mechanism is constructed based on the evaluation index, and a fault signal correction scheme is generated; and constructing a continuous detection cycle, analyzing the matching effect of the calibration frequency and the steering signal delay, and if the deviation correction precision does not reach a first preset standard, iteratively processing the attitude data. According to the invention, the precision and response speed of adaptive optimization of the automobile fault detection system are improved.

The invention discloses a multichannel electronic component test system based on an adaptive calibration algorithm, and the system comprises the following modules: a signal collection and preprocessing module which is used for collecting channel signals and carrying out the standardization processing; the linear regression calibration module is used for calculating an offset parameter and a gain parameter and outputting an initial channel calibration parameter; the decoupling adaptive calibration module is used for generating an adaptive calibration parameter set; the signal correction module is used for correcting the standardized signal sequence; the feature extraction module is used for generating a multi-dimensional feature vector; the improved TimeMIL model module is used for performing time slice division, multi-scale attention coding, causal driven and prototype alignment aggregation and uncertainty quantization constraint on the multi-dimensional feature vector; and the result generation module is used for generating the electronic component performance index and the abnormity judgment result. According to the invention, the combination of multichannel signal adaptive calibration and intelligent discrimination is realized, and the precision and robustness of electronic component testing are improved.

The invention discloses an echo signal correction method, system and device based on variational mode decomposition and Kalman filtering cooperation and a medium, and belongs to the technical field of signal correction, and the method comprises the steps: collecting original echo data through a three-dimensional laser radar sensor, and carrying out the preprocessing of the original echo data; performing distance attenuation and incident angle geometric correction operation on the intensity information in the preprocessed data to obtain a physically corrected signal; taking the physically corrected signal as input, adaptively determining key parameters of variational mode decomposition by adopting a whale optimization algorithm, performing mode decomposition on the signal, introducing an independent Kalman filtering model for each mode to perform joint filtering processing, and outputting a denoised signal; and registering the denoised signal with other data in the preprocessed data to form a denoised point cloud, operating the denoised point cloud, and reconstructing a three-dimensional model. Noise interference is effectively weakened while target reflection characteristics are reserved, and the fitting degree between echo signals and real waveforms is improved.

The invention discloses an online detection method for a medium and low voltage direct current circuit breaker, and relates to the technical field of power system protection control, and the method comprises the following steps: S001, building a radiation echo spectrum distribution model during the switching operation of the direct current circuit breaker, calculating an interference intensity estimated value through collecting a current drop rate and a fracture voltage climbing rate, and calculating the interference intensity estimated value according to the current drop rate and the fracture voltage climbing rate; and extracting a disturbance frequency band with concentrated interference energy and generating a characteristic signal set for representing an interference propagation path. According to the method, a closed-loop anti-interference mechanism is constructed through feature modeling, interference recognition, signal correction and parameter optimization, the stability and accuracy of state judgment are improved, misjudgment and response failure caused by high-frequency interference are prevented, the method is particularly suitable for a complex parallel system and a frequent on-off scene, and the safety and the intelligent level of a direct-current system are effectively enhanced.

The invention discloses a deep sea cable fault accurate positioning method based on electromagnetic induction and transient characteristic analysis, and relates to deep sea electric power engineering. According to the technical scheme, the method comprises the steps of 1, signal excitation used for transmitting a signal source; 2, signal filtering is carried out to counteract geomagnetic background noise; 3, signal correction is carried out to solve the problems of modal aliasing and endpoint effect existing when a traditional EMD is used for processing complex signals; 4, signal feature extraction, wherein transient pulse features in the signals can be effectively enhanced; and step 5, fault positioning. The method is mainly used for non-intrusive fault detection of the power cable in the kilometer-level deep sea high-pressure environment, and high-precision fault point positioning is achieved.

The invention discloses a fusion device magnet coil copper conductor nondestructive testing method and a computer product, and relates to the technical field of nondestructive testing, the method comprises the following steps: obtaining original eddy current testing signals of a to-be-tested object or a plurality of areas of the to-be-tested object under specific physical conditions; preprocessing the original eddy current detection signal, wherein the preprocessing comprises denoising and signal correction; extracting features from the preprocessed signals and carrying out normalization processing; on the basis of a pre-established multi-parameter model related to the physical conditions of the to-be-tested object, theoretical signals of the to-be-tested object under various physical conditions are predicted through finite element simulation; and performing matching estimation on the normalized signal and a theoretical signal to obtain an estimated signal, and evaluating the defect existence probability based on the estimated signal. Based on an eddy current testing technology, a probe scans a sample and obtains a signal, and a finite element analysis method is combined to simulate and evaluate defects such as cracks possibly existing in a material.

A system configured to reduce loudspeaker distortion by performing nonlinear signal processing is provided. A device may include preprocessing component(s) that apply nonlinear signal correction prior to sending a playback audio signal to a driver in order to compensate for a nonlinear response of the driver. While the driver response may be nonlinear, a combination of the preprocessing and the nonlinear driver response results in a combined response that is linear and / or compensates for the nonlinear driver response. For example, applying the nonlinear driver response to a processed audio signal may result in output audio generated by the driver accurately reproducing the playback audio signal input to the preprocessing components. To train the preprocessing components to apply the nonlinear signal correction, a deep neural network (DNN) is trained to model the driver response.

The invention relates to the technical field of gene detection, and discloses a mycobacterium tuberculosis drug resistance gene detection data analysis system which comprises a data import module, a signal correction module, a feature extraction module, a multi-stage interpretation module, a result fusion module and a report generation module. The system performs baseline drift correction, abnormal point detection and nonlinear normalization on a fluorescence intensity value output by a detector, extracts multi-dimensional features such as peak intensity, a mutation ratio, a consistency coefficient and an in-batch difference index, and constructs a dynamic threshold function to realize wild type and mutation type layered judgment. A drug resistance risk conclusion is generated through drug resistance characteristic matrix mapping, a standardized detection report is output, and intelligent analysis of a detection result and automatic report generation are achieved. Through multi-stage signal correction, multi-dimensional feature extraction and dynamic threshold interpretation, intelligent analysis and standardized report output of a mycobacterium tuberculosis drug resistance gene detection result are realized, and data judgment accuracy and clinical application efficiency are improved.

The invention relates to a correction method suitable for a transmission type ultrasonic scanning system. The method comprises the following steps: acquiring roller scanning characteristics of a roller pair in the transmission-type ultrasonic scanning system, and constructing a correction matrix group taking the physical length of the corresponding surface of the current roller pair as a reference, the correction matrix group comprises a transmitting correction matrix corresponding to a transmitting roller in the current roller pair and a receiving correction matrix corresponding to a receiving roller in the current roller pair, and determining the working rotation state of the current roller pair during transmission signal correction, and obtaining a correction gain coefficient corresponding to each receiving array element based on the working rotation state of the current roller pair so as to correct the received transmission signal by using the obtained correction gain coefficient. According to the invention, transmission signals can be effectively corrected, signal distortion caused by factors such as uneven surface of the roller, uneven materials and angular deviation of the current roller pair during rotation can be eliminated, and the precision and reliability of transmission-type ultrasonic scanning detection are improved.

The invention relates to the technical field of fan equipment management, in particular to a wind turbine gearbox fault diagnosis method and system based on multi-modal data fusion, and the method comprises the steps: carrying out the key structure recognition of a wind turbine gearbox, and marking the key structure as a gearbox key structural part; vibration signals of key structural parts of each gearbox and impeller strain signals of a wind turbine are collected; extracting aerodynamic load characteristics from the impeller strain signal; inputting the aerodynamic load characteristics into a pre-constructed load transmission evaluation model to obtain a load influence transmission coefficient set; performing impeller influence correction on each vibration signal based on the load influence transfer coefficient set to obtain a vibration signal correction data set; performing multi-dimensional feature extraction on the vibration signal correction data set, and converting extracted vibration features into a three-dimensional vibration feature matrix; and performing fault identification on the three-dimensional vibration characteristic matrix by using a preset gearbox fault identification model. The pneumatic load interference can be eliminated, and the fault diagnosis accuracy is improved.

A clock signal correction device includes a first clock signal generator configured to generate an internal clock signal in a first mode, a divider configured to generate a plurality of first clock signals having different phases based on the internal clock signal, a calibration circuit configured to generate a first skew code corresponding to a skew between a first clock signal and a second clock signal of the plurality of first clock signals and a second skew code corresponding to a skew between a third clock signal and a fourth clock signal of the plurality of first clock signals, and a skew adjustment circuit configured to adjust the phases of a plurality of second clock signals having different phases generated using a clock signal received from an external source based on the first skew code and the second skew code in a second mode different from the first mode.

The invention provides a clock signal correction apparatus, a semiconductor apparatus, and a computing system. The clock signal correction apparatus includes: a first clock signal generator configured to generate an internal clock signal in a first mode; a frequency divider configured to generate a plurality of first clock signals having different phases based on the internal clock signal; a calibration circuit configured to generate a first skew code corresponding to a skew between a first clock signal and a second clock signal of the plurality of first clock signals and a second skew code corresponding to a skew between a third clock signal and a fourth clock signal of the plurality of first clock signals; and a skew adjustment circuit configured to adjust phases of a plurality of second clock signals having different phases generated using a clock signal received from an external source based on the first skew code and the second skew code in a second mode different from the first mode.

The invention provides a method for detecting fusion of extracellular vesicles by adopting fluorescence resonance energy transfer, and belongs to the technical field of extracellular vesicles. A dynamic fluorescence monitoring system is established, low-power laser excitation is adopted, dual-wavelength fluorescence signals are monitored at the same time, fluorescence signal data are collected, graded gain regulation and control processing is carried out through five threshold values, and a fluorescence signal super-sparse matrix is constructed; establishing a fluorescence signal processing matrix model, converting the super-sparse matrix into a dense matrix, constructing a gain matrix for signal correction, calculating a fluorescence resonance energy transfer efficiency parameter, obtaining a standardized efficiency value through matrix operation, outputting an extracellular vesicle fusion kinetic analysis result, and establishing a quantitative evaluation system. The technical problems of poor signal stability and low detection precision in the process of fluorescence resonance energy transfer detection of extracellular vesicle fusion are solved.

This invention relates to a method for structural variant (SV) identification and genotyping in long-read family pedigree samples. The invention pertains to the field of vegetative variant (SV) detection in families, specifically focusing on methods for identifying and genotyping structural variants. The aim of this invention is to address the problems of existing family-based SV detection methods, which heavily rely on high-coverage sequencing, resulting in insufficient utilization of genetic characteristics and inaccurate SV detection and genotyping, as well as the high cost of sequencing multiple samples. This invention uses individual sequencing data from all family members as input, extracts variant features from each member, performs cluster analysis on the family feature set, assigns features to their respective members, and then uses three family feature signal correction methods to correct detection errors. Finally, SVs are located and anchored using Mendelian inheritance laws, and haplotype genotyping of SVs is completed using linkage information from long-read sequencing fragments.

The invention discloses an aluminum smelting high magnetic field area flue gas monitoring signal anti-interference transmission system, which comprises a signal acquisition module, a signal filtering module, a signal correction module and a signal transmission module, and relates to the technical field of aluminum smelting high magnetic field area flue gas monitoring. And by combining a dynamic parameter adjusting mechanism, electromagnetic interference of an aluminum smelting high magnetic field area is effectively filtered out. Meanwhile, the signal correction module corrects error data through trend analysis and CRC verification, distortion components caused by electromagnetic interference are eliminated in combination with spectral analysis and band elimination filtering, the accuracy and integrity of the smoke monitoring signal are remarkably improved, and the problem that noise, errors and distortion in an original signal affect the monitoring precision is solved; and anti-interference of signal transmission is realized through grading marking and path adaptation design of the signal transmission module.

The present application relates to the technical field of new energy vehicle NVH testing, and discloses a range extender transient noise sound quality evaluation method based on physiological signal correction, which constructs a double-branch neural network by using in-vehicle noise audio signals, subject EEG signals and subjective scores under the transient working condition of the range extender, the audio branch outputs the objective benchmark score, and the EEG branch outputs the subjective bias correction amount; the model is trained by using a joint loss function that fuses the score fitting loss, the objective consistency constraint loss and the bias regularization loss; in the inference stage, the objective sound quality score can be output by only inputting the audio features. The present application decouples the noise objective quality and the evaluator's physiological bias, effectively eliminates the interference of individual differences, emotions and fatigue states on the evaluation results, improves the evaluation stability and repeatability, realizes efficient, accurate and robust objective evaluation of the range extender transient noise without relying on EEG, and is suitable for NVH performance testing and optimization in the vehicle development stage.

The invention discloses an air cooling radiator fan rotating speed control method and system, and relates to the technical field of fan control, and the method comprises the following steps: collecting vibration acceleration data on a controller circuit board of a multi-fan array; evaluating the current vibration state of the fan system based on the vibration acceleration data; adjusting a synchronization error allowable range of the multi-fan array based on the vibration state; acquiring real-time rotating speed information of each fan in the multi-fan array; generating a signal correction instruction based on the synchronization error allowable range and the real-time rotating speed information of each fan; and adjusting the rotating speed of each fan in the multi-fan array on the basis of the signal correction instruction. The embodiment of the invention has the advantages of effectively coping with the rotating speed synchronous control challenge of the fan system in different vibration states by dynamically adjusting the allowable range of the synchronous error, and avoiding the instability of the control system and hardware degradation caused by mechanical resonance.

A position sensing system, a method for acquiring a position sensing signal and an electronic device are provided. The position sensing system is provided with a first position sensing element and at least one second position sensing element. A first position sensing signal outputted by the first position sensing element in response to a predetermined signal is used as a correction signal for a second position sensing signal outputted by the second position sensing element, and the signal processing module corrects the second position sensing signal outputted by at least one of the second position sensing element based on the first position sensing signal and determines a target sensing signal based on at least one corrected second position sensing signal.

The present application belongs to the technical field of fault diagnosis of complex transmission system, and particularly relates to a method for accurately extracting fluctuating speed from vibration signals of integrated transmission and correcting signals, the implementation of the method involves a speed fluctuation amplification unit, a speed fluctuation extraction unit and a speed fluctuation removal unit; the method can accurately estimate speed fluctuation from vibration signals without actually measuring speed signals, and remove speed fluctuation to obtain a stable signal. The present application improves the accuracy of speed fluctuation extraction and the accuracy of speed fluctuation removal by amplifying speed fluctuation for several times, and greatly reduces the time consumption of the algorithm through multiple frequency modulation. The method solves the problem of accurately extracting fluctuating speed from vibration signals of integrated transmission system and removing the influence of speed fluctuation, and provides a low-computing-cost and high-precision method for extracting and removing speed fluctuation.

This invention relates to the field of analytical chemistry, and discloses an isotope dilution-bismuth reagent-LA-ICP-MS method for the determination of noble metals. The method involves adding geochemical samples to bismuth reagent kits... 194 Pt isotope diluent was mixed with a silver carrier, and then melted and blown to obtain silver alloy particles. The silver alloy particles were annealed and pressed into silver sheets. The content of Pt in the silver sheets was determined by LA-ICP-MS. 105 Pd, 195 Pt and 197 The mass spectrometry intensity of Au was determined by adding platinum isotope diluent. 194 Pt was used as an internal standard for signal correction; the contents of gold, platinum, and palladium in the sample were calculated based on the measurement results. This invention utilizes solid-state injection of prepared Ag sheets and multi-point ablation by LA-ICP-MS, improving the analysis speed and avoiding interference from polyatomic ions and dilution effects in the solution; the added platinum isotope diluent... 194 Pt, as an internal standard, is consistent with the distribution trend of the element to be measured, thus solving the problem of uneven element distribution in Ag tablets. Ag tablets prepared with standard substances serve as a standard series with consistent matrix. The standard curve is plotted using the empirical coefficient method, showing good linearity.

The invention relates to the technical field of food hazard factor detection, in particular to a food hazard factor detection method and system based on biomimetic hydrolase catalytic fluorescence generation. Comprising the following steps: S1, obtaining a turbidity characteristic value, background fluorescence intensity and a fluorescence quenching coefficient of a to-be-detected sample solution; s2, based on the turbidity characteristic value and the fluorescence quenching coefficient, calculating to obtain a robustness index; s3, according to a comparison result of the robustness index and a preset qualified threshold value, through a preset closed-loop feedback control logic, determining a working gain used for total fluorescence intensity signal acquisition; s4, performing dynamic signal correction processing including gain normalization to obtain a normalized apparent fluorescence signal; s5, based on the normalized apparent fluorescence signal, calculating to obtain an apparent catalytic rate; and S6, determining the concentration of the target hazard factor according to the apparent catalytic rate, the turbidity characteristic value and the fluorescence quenching coefficient. According to the method, the accuracy and the reliability of detecting the target hazard factors in the complex matrix are remarkably improved.

An audio amplifier circuit is provided. The circuit comprises a reference PWM unit for generating a reference PWM signal based on the audio signal to be rendered, and a driving PWM unit for generating a driving PWM signal for driving the speaker based on the correction signal. The correction signal depends on the audio signal to be rendered. The circuit also includes an oscillator for adjusting an oscillator frequency according to the error signal. The error signal depends on the reference PWM signal and the drive PWM signal. The circuit also includes a counter to determine a cumulative counter value based on an oscillator period of the oscillator. The circuit also includes a digital loop filter to generate a correction signal for determining a corrected signal based on the cumulative counter value.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a wireless communication device (WCD) may use training data associated with distortion of a sensed signal. Some aspects more specifically relate to correcting distortion from a sensing signal in association with training data. In some examples, the training data may include distortions measured in an environment without the sensing target. In some examples, the training data may include distortions measured via a dedicated hardware path within the WCD. The WCD may use the training data to identify whether an object is present, or may use the training data to remove distortion from the sensing signal.

The invention relates to the technical field of electrical test simulation, and discloses a portable spare power automatic switching test simulation device with a high protection level, and the device comprises a full-spectrum sampling module which captures a full-spectrum real waveform containing a fundamental wave and a background harmonic wave; the mirror image reconstruction module inverts the full-spectrum real waveform point by point to generate a full-spectrum offset waveform; the fault synthesis module synchronizes the time base module to generate a time reference synchronized with the fundamental wave; the closed-loop calibration module superposes the harmonic watermark and generates a calibration signal; the loop characteristic detection module judges a voltage or current loop; and the adaptive injection module is triggered by a time reference on the basis of judging to select a voltage source topology or a current source topology, and injects a full-spectrum offset waveform after vector superposition and calibration signal correction and a fault electrical characteristic signal into a secondary measurement loop. And counteracting real power grid signals including background harmonics is realized.

The application relates to the technical field of electrical equipment state monitoring, and discloses a capacitor type transformer bushing dampness monitoring method and system. The method comprises the following steps: obtaining an initial monitoring data stream from a monitoring node arranged on a transformer bushing; performing feature extraction based on time evolution analysis on the data stream to obtain a preliminary humidity response sequence, a preliminary temperature response sequence and a potential disturbance identification sequence; performing relevance verification on the humidity and temperature sequences, and calculating the coupling influence degree of the disturbance identification sequence on the humidity and temperature sequences; constructing a dynamic probability response matrix according to the verification result and the coupling influence degree, and deducing a dampness evaluation index; and implementing multi-level signal correction on the initial monitoring data stream according to the index, and analyzing core humidity components and core temperature components reflecting a dampness progress. The application can separate dampness signals from temperature and disturbance effects, and realizes dynamic and accurate evaluation of the dampness state of the transformer bushing.

Airflow rate measuring device (100A-F) comprising an airflow rate sensing element (1) with an upstream temperature sensor (7) arranged on an upstream side of a heating element (8) and a downstream temperature sensor (9) arranged on a downstream side of the heating element (8) and designed to output an airflow rate signal based on an output signal from the airflow rate sensing element (1), wherein the airflow rate measuring device (100A-F) comprises: a signal detector (2) configured to detect that an output signal of the airflow rate sensing element (1) has exceeded a predetermined threshold; and a pulse generator (19) designed to generate a pulse signal by using an output signal of the signal detector (2) as a trigger, wherein the airflow rate measuring device (100A-F) is designed to correct an output signal of the airflow rate sensing element (1) based on the pulse signal.

A duty cycle correction device and a duty cycle correction method thereof are disclosed. A duty cycle adjustment circuit adjusts a duty cycle of an input clock signal to output an output clock signal. An integrator circuit generates an integral signal according to the output clock signal. A correction control circuit periodically controls the duty cycle adjustment circuit to adjust an adjustment amount of the duty cycle according to a change of a logic level of the integral signal.

The application discloses a quality prediction method and system based on a space-time structure preserving deep network, which considers the time and space structure features between input data in the process of layer-by-layer feature extraction to improve the accuracy of quality prediction. The loss function used in pre-training comprehensively considers input reconstruction, quality-related feature extraction, and space-time structure preservation. Then, an output fusion layer is designed to fully utilize the output estimates given by the shallow-to-deep space-time structure preserving encoder, and the corresponding parameters are initialized by a least squares regression algorithm before fine-tuning. In addition, the application also discloses an improved scheme related to using variable selection, orthogonal signal correction processing and other technologies to improve the quality prediction accuracy of the model. Finally, the application designs a quality prediction system based on the same concept, which combines software and hardware to perform the implementation process including pre-training, fine-tuning, and implementing online quality prediction tasks.

The invention relates to a displacement correction and rapid feedback control method based on a grating interference signal. The method comprises the steps that 1, a lower computer outputs a voltage signal for driving a piezoelectric ceramic scanner according to an instruction of an upper computer; 2, the piezoelectric ceramic deforms, so that the grating of the grating interferometer generates corresponding displacement; 3, simultaneously uploading grating interference signals formed by frequency difference on the left side and the right side of the grating to an upper computer and a lower computer; 4, the upper computer and the lower computer carry out correction and calculation on the grating interference signal through an RANSAC-Heydemann algorithm which is jointly corrected by the upper computer and the lower computer, and actual displacement is obtained; and 5, the lower computer performs correction through a PID control model according to the actual displacement to obtain an accurate displacement value for driving the piezoelectric ceramic scanner. According to the invention, a mode of cooperative operation of the upper computer and the lower computer is adopted, the feedback period of the RANSAC-Heydemann grating interference signal correction algorithm is reduced, and the efficient and precise positioning capability of the flat-plate scanner is improved.