118 results about "Current noise" patented technology

The embodiment of the invention discloses a data noise reduction method and device for multi-level magnetotelluric data and a medium, and relates to the technical field of noise reduction processing, and the method comprises the steps: collecting an original magnetotelluric data sequence, determining first noise reduction data, carrying out the variational mode decomposition of the first noise reduction data, and determining second noise reduction data; determining a first signal-to-noise ratio corresponding to the second noise reduction data, and when the first signal-to-noise ratio is smaller than a preset signal-to-noise ratio reference value, performing dynamic fusion on the residual signal to determine a fused residual signal; performing noise reduction processing on the fused residual signal, determining fused residual noise reduction data, performing residual recovery based on the fused residual noise reduction data, and determining current noise reduction data after residual recovery; when the second signal-to-noise ratio corresponding to the current noise reduction data is not smaller than the signal-to-noise ratio reference value, the current noise reduction data is output, the signal recovery requirement of weak effective information in the magnetotelluric data can be met, the signal fidelity is enhanced, and the deep noise processing and weak signal protection capabilities are improved.

The invention discloses a noise control method and device for a vehicle and the vehicle, and the method comprises the steps: obtaining the parameter value of a target state parameter group of a target vehicle, the target state parameter group comprises a plurality of state parameters, and each state parameter is related to the current noise generated by the vibration of the target vehicle; determining an equipment sound wave signal based on the parameter value of the target state parameter group; and based on the equipment sound wave signal, controlling sound playing equipment of the target vehicle to play sound, so that the current noise sound wave signal interferes with an equipment sound wave signal of the sound playing equipment when being transmitted to a cabin area of the target vehicle, and the noise loudness in the cabin area is smaller than a preset loudness threshold value. According to the invention, the technical problem of large loudness of vehicle noise is solved.

The invention discloses a six-dimensional sensor noise covariance matrix adjusting system based on impact response, and relates to the technical field of data processing, and the system comprises a base covariance construction module which is used for obtaining multi-sensor channel impact data, calculating a channel-level indication quantity, and fusing the channel-level indication quantity to obtain an impact score; determining an allowed adjustment channel set and an adjustable sub-block index, generating a diagonal priority mark, and obtaining a base covariance through weighted smoothing; the increment calculation verification module intercepts data, constructs a spatio-temporal data slice matrix, carries out shrinkage robustness estimation, generates candidate trial increment by combining channel weight and characteristic decomposition, and outputs unique trial increment after verification of an improved gate and a certificate margin gate; the adjustment fusion optimization module superposes the trial writing increment to the base covariance, after stability and consistency certificate inspection, self-adaptive adjustment is performed according to a three-section strategy, and a current noise covariance matrix is output through forgetting fusion; and the problems of numerical instability and distortion caused by redundancy adjustment in an impact environment are avoided.

The invention discloses an APD bias environment adaptive control method and device suitable for a laser range finder. The method comprises the following steps: setting a standard noise value; acquiring a previous environment temperature and an APD bias voltage value; acquiring the current environment temperature; the temperature difference between the current environment temperature and the last environment temperature is determined, the bias voltage variation is calculated in combination with the bias voltage temperature coefficient of the APD, and the bias voltage value of the APD is roughly adjusted through the bias voltage variation; obtaining a ranging echo signal of the laser range finder, and calculating a current noise value according to the ranging echo signal; and determining the noise value deviation between the current noise value and the standard noise value, and performing fine adjustment on the roughly adjusted APD bias voltage value by using a PID algorithm according to the noise value deviation. According to the invention, the bias voltage of the APD can be adjusted in real time according to the ambient temperature, the ranging target signal and the amplitude of the noise, the adaptive function of the bias voltage of the APD to the test environment is realized, and the method has good adaptability to environmental conditions of different ambient temperatures, illumination intensities, visibility and the like.

This application relates to an audio signal processing method and apparatus, a storage medium, and a vehicle. The method includes: obtaining a first audio signal collected by a sound sensor; processing one or more of human voice information, harmonic information, and burst sound information that are included in the first audio signal, to determine a first noise signal in the first audio signal; adjusting a second audio signal based on the first noise signal and the second audio signal to obtain a third audio signal, where the second audio signal is an original audio source of a play device, and the adjustment includes amplitude adjustment; and playing the third audio signal by using the play device. According to embodiments of this application, a current noise level can be accurately estimated, so that an adjusted audio signal has a better noise masking effect, and auditory experience of a user is better. In addition, in the foregoing process, dependency on non-acoustic state information is avoided, and this adjustment method can be used in a plurality of scenarios, is more flexible, and supports fast deployment.

The invention relates to the technical field of signal processing, and particularly provides a full-quantization spectrum characteristic statistical method, system and device and a storage medium, and the method comprises the steps: discretizing a current sampling signal frequency band into a continuous frequency point unit sequence according to a preset rule, and mapping a signal intensity value into an intensity level according to the preset rule; if the signal intensity exceeds the current noise base value, determining the frequency point range of the current sampling signal by extracting the center frequency point and the effective bandwidth of the current sampling signal, and recording the intensity level mapped for all frequency point units in the range once; if the signal intensity does not exceed the current noise base value, recording the intensity grade of mapping for one time for a frequency point unit in the frequency point unit sequence of the current sampling signal; and counting all involved frequency point units in the frequency spectrum recording process and the occurrence frequency of each intensity level recorded on each frequency point unit. According to the invention, the problem of virtual high background noise caused by a traditional peak value holding mode is solved.

The invention provides a pressure sensor real-time fault detection method based on dynamic environment adaptation, and belongs to the technical field of sensor fault detection. The method comprises the following steps: establishing a time domain association data set of noise-sensor signals by synchronously collecting environmental noise signals and pressure sensor output signals in real time; performing spectral analysis on the environmental noise signal, dynamically dividing frequency bands, and calculating energy distribution of each frequency band; dynamically generating an operation delay threshold according to the energy distribution and the weight factor of each frequency band; calculating the reliability coefficient of the operation state of the sensor by combining the time domain characteristics of the output signal of the pressure sensor and the current noise energy distribution; when it is detected that the output signal of the pressure sensor is abnormal, the abnormal duration is corrected based on the operation state credibility coefficient, the corrected duration is compared with the dynamic operation delay threshold value, and whether the fault is a real fault or not is judged. According to the invention, environmental noise interference can be effectively suppressed, and the accuracy and reliability of pressure sensor fault detection are improved.

The invention provides an air conditioner, a control method and device of the air conditioner, a storage medium and a computer program product. The method comprises the steps that original noise signals generated when the air conditioner operates are collected; the collected original noise signals are input into a pre-trained noise recognition model to generate noise reduction signals, the noise recognition model is a Swinin-Conv-UNet mixed model, and the noise reduction signals comprise noise source and / or type information and corresponding noise intensity information; according to the generated noise reduction signal, the current noise source and / or type and the corresponding noise intensity of the air conditioner are / is determined; according to the determined current noise source and / or type of the air conditioner and the corresponding noise intensity, a noise reduction control strategy of the air conditioner is obtained; and a corresponding control instruction is generated according to the obtained noise reduction control strategy, and the air conditioner is controlled to execute. According to the scheme, the air conditioner noise can be remarkably reduced.

The invention provides a magnetic field traveling wave signal processing method for cable fault detection and related equipment, and relates to the technical field of cable fault detection, and the method comprises the steps: configuring a distributed sensor according to an identified key position of a cable, and collecting a magnetic field traveling wave signal of the cable through the distributed sensor, and obtaining a time sequence signal data set; performing preprocessing and signal enhancement on the time sequence signal data set in sequence, and inputting signal features of the time sequence signal data set after signal enhancement into a pre-optimized fault identification model to obtain a fault positioning result of the cable; wherein the fault identification model is obtained by performing model parameter optimization by adopting a pre-established multi-objective function based on a particle swarm and a preset particle search strategy, and the particle search strategy is set according to a preset speed updating mechanism and a current noise interference state. Therefore, the method effectively enhances the accuracy and practicability of the fault detection system while improving the quality of the cable fault signal.

The present disclosure provides an operational amplifier current noise testing device and method, relates to the technical field of operational amplifier noise testing, aims to find the position of the introduced pole by testing the input end capacitor, and compensate the influence of the introduced pole of the sampling resistance and stray capacitor through the mathematical correction method, so as to accurately measure the current noise characteristics of the operational amplifier. The device comprises: a device under test module comprising an operational amplifier to be tested and a sampling resistor, wherein the sampling resistor is used to convert the current noise at the input end of the operational amplifier into voltage noise; an auxiliary amplifier module for further amplifying the voltage noise; a capacitor testing module for testing the total input capacitance of the device under test module, the total input capacitance comprising the input capacitance of the operational amplifier itself and the stray capacitance introduced by the system; wherein after the total input capacitance is obtained, the attenuation frequency of the noise signal is corrected according to the total input capacitance to obtain the corrected noise signal.

The invention provides an image correction method and device and electronic equipment. According to the pixel feature value of each pixel point in the current image frame needing to be corrected, the pixel feature value of each pixel point in the previous image frame and the noise value recorded by the current noise matrix, the target pixel point needing to be corrected is locked, and the positioning precision of the fixed noise source causing the non-uniform response is remarkably improved. Further aiming at each target pixel point, on the basis of a pixel characteristic value of the target pixel point, a pixel characteristic value of a reference pixel point of the target pixel point in a previous image frame, a global pixel characteristic value used for representing the previous image frame, and a noise value matched with the position of the target pixel point in a current noise matrix, determining the position of the target pixel point in the current noise matrix; according to the method, the noise value of the target pixel point is determined, the high-frequency noise and the low-frequency noise are integrally and effectively suppressed, the limitation that the low-frequency noise is difficult to correct by traditional equipment with separation blades is broken through, and the correction precision of non-uniform response is improved.

The invention relates to a proximity sensing control method and device, electronic equipment, a medium and a program product, and the method comprises the steps: obtaining the target attitude information of a terminal when a second proximity sensing value is sampled under the condition that the first proximity sensing value is greater than a proximity sensing threshold and the second proximity sensing value is greater than a far-away sensing threshold; if it is determined that the terminal is currently in a far-away state according to the target attitude information, obtaining a current bottom noise value of the proximity sensor, and updating a far-away sensing threshold and a proximity sensing threshold according to the current bottom noise value; according to the embodiment of the invention, under the condition that the first proximity induction value is greater than the proximity induction threshold, if the second proximity induction value is greater than the far-away induction threshold, but the terminal is currently in the far-away state, the far-away induction threshold and the proximity induction threshold are updated in time, so that the reliability of the proximity induction function of the terminal can be effectively improved.

This application provides a noise reduction mode switching method, apparatus, and noise reduction device, specifically relating to the technical field of audio noise reduction. The method includes: obtaining n first zeros and n first poles corresponding to the current system function of a filter in the complex plane, and n second zeros and n second poles corresponding to the target system function of the filter in the complex plane; combining the n first zeros, first poles, second zeros, and second poles to obtain n zero-point groups and n pole groups, wherein each zero-point group includes one first zero and one second zero, and each pole group includes one first pole and one second pole; performing zero-pole switching according to the n zero-point groups and the n pole groups to switch the noise reduction device from the current noise reduction mode to the target noise reduction mode. This disclosure not only enables the filter to smoothly switch from the current noise reduction mode to the target noise reduction mode, but also shortens the noise reduction mode switching time.

A display pixel compensation circuit device using a dual-slope includes N channel multiplexers respectively coupled to sensing lines of corresponding channels; a sensing current conveyor configured to sense, on a target sensing line selected by control signals, a drain current of a target pixel's driving thin-film transistor; a noise current conveyor configured to sense, on an adjacent sensing line, panel noise, the adjacent sensing line being next to the target sensing line; and dual-slope error-detection circuitry configured to derive a pixel error from outputs of the two conveyors, convert the error into a sign value and an error value, and store these in a memory. In subsequent frames, the error value is arithmetically added to or subtracted from the digital pixel signal according to the sign value and supplied to respective channels, enabling real-time multi-bit correction with reduced silicon area and improved power efficiency.

The invention discloses a refrigerator and a noise reduction method thereof. The refrigerator comprises a sensor, an auxiliary sound source and a controller. The sensor is configured to detect the noise value of the refrigerator in the operation process. The auxiliary sound source is configured to emit a masking sound according to a masking characteristic of a sound band. The controller is configured to obtain a first noise value detected by the sensor in the running process of the refrigerator; if the first noise value is greater than a preset decibel threshold value, searching a target frequency band from the frequency bands of the current noise, and calculating the noise amplitude of the target frequency band; according to the noise amplitude, determining a masking sound which is opposite to the target frequency band in phase; and controlling the auxiliary sound source to emit the masking sound.

This application discloses an earphone and an earphone assembly. The earphone includes a housing, a speaker, a main circuit board, and a battery. All of the speaker, the main circuit board, and the battery are mounted in the housing. The main circuit board is located between the speaker and the battery. The main circuit board is disposed in an inclined manner relative to the speaker. A risk that the speaker of the earphone generates current noise is low, and sound quality of the earphone is good.

The invention provides a compressor noise reduction method and device, a refrigerator and a computer readable storage medium. The method comprises the steps that current noise information of work of a target compressor is obtained; according to the current noise information, a target ultrasonic signal used for offsetting noise of the target compressor is determined; and controlling the ultrasonic transmitter to transmit the target ultrasonic signal to offset the noise of the target compressor. According to the compressor noise reduction method, the current noise information sent by the compressor can be obtained firstly, and the target ultrasonic signal capable of counteracting the noise is determined according to the current noise information. And finally, an ultrasonic transmitter is controlled to transmit a target ultrasonic signal, so that the influence of noise information generated by the compressor is eliminated or reduced, and the noise reduction effect is achieved.

Provided in the present invention are an FPGA-based NLMeans noise-reduction simplification method and system for an infrared image, and a medium and a device. The method comprises: step S1, determining the size of a search window and the size of a matching window; step S2, calculating the similarity between each matching block and a central block by means of the linear superposition of a Manhattan distance and a Chebyshev distance; and step S3, calculating the weight of each matching block on the basis of the similarity, and calculating a current noise-reduction result on the basis of each matching block and the corresponding weight. By means of applying the method of the present invention, the noise-reduction effect of original NLMeans can be basically maintained, and it is more convenient to implement the process on an FPGA.

The present invention provides a method for non-power-off detection of the acoustic fingerprint of a transformer and status warning, which includes the following steps: collecting the acoustic fingerprint during the operation of the transformer; collecting a plurality of historical current values and the corresponding first historical noise values during the operation of the transformer; fitting the plurality of historical current values and the corresponding first historical noise values to obtain a current noise function curve; collecting the real-time operating current and the corresponding first real-time noise value during the operation of the transformer; calculating a first predicted noise value according to the real-time operating current and the current noise function curve; performing noise cancellation processing on the acoustic fingerprint according to the first predicted noise value and the first real-time noise value; performing non-power-off detection on the real-time status of the transformer and warning of the fault status according to the acoustic fingerprint after the noise cancellation processing. The present invention can perform non-power-off detection on the real-time status of the transformer and warning of the fault status.

The invention provides a noise reduction method and device and a range hood. The method comprises the following steps: acquiring a current working mode of the range hood; at least one mode parameter corresponding to the current working mode is obtained, the at least one mode parameter is determined based on a noise reduction effect parameter and at least one influence factor, and the influence factor influences control over sound in a preset frequency range in the current working mode; at least one target control parameter is determined based on the at least one mode parameter and a current noise reduction algorithm, the at least one target control parameter is used for being adopted by a noise reduction module of the range hood, and the noise reduction module is used for reducing noise generated by the range hood. The invention provides a noise reduction scheme with higher adaptability, and the noise reduction effect can be improved.

The invention discloses an ultra-thin gate oxide breakdown resistance test method under ESD stress, and the method comprises the steps: applying voltage to a gate electrode and a drain electrode of a to-be-tested semiconductor device, and carrying out the measurement to obtain a transfer characteristic curve of the to-be-tested device; applying an electrostatic pulse of which the amplitude increases progressively to the grid of the to-be-tested device, performing a TLP test, obtaining a grid stress voltage and a leakage current of the to-be-tested device under TLP stress, performing the TLP test circularly until the leakage current changes by more than three orders of magnitude, and regarding that a gate oxide layer of the to-be-tested device is broken down; and according to a channel carrier number fluctuation model and drain current noise, calculating the defect density of the gate oxide layer of the to-be-tested device after each round of TLP stress application, and utilizing the stress voltage and the defect density under each round of TLP stress to obtain a fitting curve of the stress voltage and the defect density for predicting the breakdown voltage of the gate oxide layer of the device of the same type. According to the method, the breakdown voltage of the gate oxide layer of the ESD to-be-protected device can be predicted in a large-scale and batch manner.

The invention provides a sidelobe cancellation diagonal loading capacity calculation method, which comprises the steps of calculating theoretical noise power through noise temperature of a system, and calculating a first diagonal loading capacity according to the theoretical noise power; calculating the current noise power of the system through the actual echo signal, and determining a second diagonal loading amount according to the current noise power; taking the smaller one of the first diagonal loading capacity and the second diagonal loading capacity as the current diagonal loading capacity; the second diagonal loading amount is updated in real time according to the current noise power of the system, and when the updated second diagonal loading amount is larger than the current diagonal loading amount, the first diagonal loading amount serves as the current diagonal loading amount; and otherwise, taking the updated second diagonal loading amount as the current diagonal loading amount. The diagonal loading amount is dynamically updated through the real-time echo signal state, and the performance of a sidelobe cancellation algorithm can be effectively improved.

The present application relates to the technical field of data processing, more particularly, the present application relates to a kind of power supply monitoring method for atmosphere light bar production, the method comprises: obtaining and preprocessing power supply signal in current time window, obtain current estimated noise sequence;Power supply signal is converted into Hankel matrix and is carried out singular value decomposition, the cumulative energy ratio of each truncation order is calculated;According to current noise level and the degree of aggregation of data in current estimated noise sequence, calculate adaptive energy threshold;Select the minimum truncation order of cumulative energy ratio greater than the threshold as target truncation order, reconstruct Hankel matrix and restore to obtain target power supply signal;Through abnormal detection to target power supply signal, identify power supply anomaly.The present application can improve the filtering effect of SVD filtering to power supply signal, realize the accurate monitoring of power supply anomaly in light bar production process.

This application relates to an audio signal processing method and apparatus, a storage medium, and a vehicle. The method includes: obtaining a first audio signal collected by a sound sensor; processing one or more of human voice information, harmonic information, and burst sound information that are included in the first audio signal, to determine a first noise signal in the first audio signal; adjusting a second audio signal based on the first noise signal and the second audio signal to obtain a third audio signal, where the second audio signal is an original audio source of a play device, and the adjustment includes amplitude adjustment; and playing the third audio signal by using the play device. According to embodiments of this application, a current noise level can be accurately estimated, so that an adjusted audio signal has a better noise masking effect, and auditory experience of a user is better. In addition, in the foregoing process, dependency on non-acoustic state information is avoided, and this adjustment method can be used in a plurality of scenarios, is more flexible, and supports fast deployment.

Provided is a power supply system capable of specifying the location where series arc discharge or parallel arc discharge occurs. The noise detection mechanism is provided in the positive electrode-side wiring section or the negative electrode-side wiring section, and is positioned closer to the power supply module than a connection section with the bypass wiring section, and the arc determination section is configured so as to determine that the series arc discharge occurs closer to the power supply module than the bypass wiring section by satisfying the following conditions (1) or (2). (1) The series switching unit is located closer to the power supply module than the bypass wiring unit, and when the arc detection unit detects the series arc discharge, the series switching unit is in an off state, and the parallel switching unit is in an off state, the noise detection mechanism detects a predetermined current noise or high-frequency noise. (2) The series switching unit is located closer to the power conversion device than the bypass wiring unit, and when the arc detection unit detects the series arc discharge and the parallel switching unit is in an off state, the noise detection means detects a predetermined current noise or high-frequency noise.

The invention provides a noise reduction mode switching method and device and noise reduction equipment, and particularly relates to the technical field of audio noise reduction, and the method comprises the steps: obtaining n first zero points and n first poles corresponding to a current system function of a filter in a complex plane, the n second zero points and the n second poles correspond to a target system function of the filter in the complex number plane; the n first zero points, the first poles, the second zero points and the second poles are combined to obtain n zero point groups and n pole groups, each zero point group comprises a first zero point and a second zero point, and each pole group comprises a first pole and a second pole; and performing zero-pole switching according to the n zero point groups and the n pole groups so as to switch the noise reduction equipment from a current noise reduction mode to a target noise reduction mode. According to the invention, not only can the filter be smoothly switched from the current noise reduction mode to the target noise reduction mode, but also the noise reduction mode switching time can be shortened.

The invention discloses a position determination method and device of noise reduction equipment and a nonvolatile storage medium. The method comprises the following steps: setting initial positions and speed ranges for a plurality of active noise reduction devices in a target area; establishing a fitness function; on the basis of the initial position, the speed range and the fitness function, the multiple active noise reduction devices are controlled to move, the adjusted positions corresponding to the multiple active noise reduction devices are determined, and the noise reduction effect after the positions are adjusted is determined; and repeating the operations of controlling the plurality of active noise reduction devices to move, determining the adjusted positions corresponding to the plurality of active noise reduction devices and determining the noise reduction effect after the positions are adjusted until a preset stop condition is met, and determining the target positions corresponding to the plurality of active noise reduction devices in the target area. The technical problem that the noise reduction effect is poor due to the fact that an existing noise reduction sensor is usually placed at a fixed position and cannot be dynamically adjusted according to noise field changes is solved.

The application discloses a kind of wide-band photoelectric telescope detection ability high-precision calculation modeling methods, belong to photoelectric measurement technical field.The method is by the spectral integration of target photon flux density, system response and noise source in the whole detection waveband, accurately calculate signal electron number, background electron number and total noise, and then solve system signal-to-noise ratio (SNR).Specifically include: based on target apparent magnitude and blackbody radiation model calculation photon flux density;Integral calculation signal electron number and background electron number;Comprehensively consider photon noise, dark current noise and readout noise, integral solution total noise;Finally, based on the integral result, calculate signal-to-noise ratio.The application overcomes the deficiency of traditional average wavelength approximation method, significantly improves the signal-to-noise ratio calculation precision, and is suitable for the design and performance evaluation of different photoelectric systems.

The application discloses a low-noise instrument amplification circuit and system adopting a cross-temperature separation structure, relates to the technical field of analog circuit design and weak signal detection, and specifically comprises a low-temperature front-end component, a room-temperature end component and a cross-temperature connection cable. The low-temperature front-end component comprises a first junction field effect transistor (JFET), a second JFET and a source coupling resistor; the room-temperature end component comprises a first JFET constant current network, a second JFET constant current network, a first drain-source bias network, a second drain-source bias network and an operational amplifier circuit. The drain and the source of the first JFET and the second JFET are electrically connected to the room-temperature end component through the cross-temperature connection cable, and a signal source is connected between the gate of the first JFET and the gate of the second JFET through a shielded differential twisted pair. The structure aims to reduce the equivalent input current noise in the signal readout with a very high impedance temperature ratio and reduce the low-temperature thermal load.

The utility model discloses an interference suppression circuit and an audio receiving processor, the circuit comprises an audio socket, a capacitor filter circuit, a magnetic bead, a pseudo-differential circuit, an n-shaped filter circuit, a blocking circuit, an operational amplifier circuit, a DSP and a switching circuit which are connected in sequence, and the switching circuit comprises a switch, a first resistor and a second resistor. One end of the switch is connected with an AGND signal output by the audio circuit, the other end of the switch is connected with the first pin or the second pin in a switching mode, the first pin is grounded after being connected with the first resistor, the second pin is grounded after being connected with the second resistor, the first resistor is larger than the second resistor, and when ground loop interference noise exists, the first pin of the switch is controlled to be switched on, and the second pin of the switch is controlled to be switched off. At the moment, the switching circuit realizes single-point connection through the first resistor, and the pseudo-differential circuit is accessed after the first resistor is introduced, so that an audio analog signal can flow back to an input source through the ground on a signal line, and the problem of loop-to-ground current noise caused by a ground loop is effectively solved.