85 results about "Noise compensation" patented technology

The invention discloses a microwave cold noise source fusing TEC temperature control and noise temperature compensation technologies, and belongs to the technical field of microwave radiometer calibration. The device comprises a cold source module, a noise compensation module and a constant-temperature control module, wherein the cold source module generates a low-temperature noise signal through a field-effect tube and a terminal resistor; the noise compensation module detects environment temperature change in real time based on a thermistor and a Wheatstone bridge, drives a noise diode to generate a compensation signal, couples the compensation signal with a cold source noise signal after attenuation, and counteracts noise temperature deviation caused by the environment temperature. The constant temperature control module adopts a platinum resistance sensor and a PID algorithm to control a Peltier element in a closed-loop mode, and accurate adjustment (+ / -0.1 DEG C) is achieved. According to the invention, noise compensation and TEC negative feedback temperature control technologies are combined, so that the noise temperature of the system is stabilized in a range of + / -0.1 K for a long time, the measurement precision and reliability of the microwave radiometer in an outdoor complex environment are remarkably improved, and the method is suitable for scenes of remote sensing detection, unmanned aerial vehicle monitoring and the like.

The invention discloses a moire fringe signal compensation method and system based on an MSPSO optimization VMD algorithm. The method comprises the following steps: establishing a mathematical model of moire fringe signals; parameters of a multi-target particle swarm optimization algorithm MSPSO are set and initialized; obtaining a mathematical model of the optimized moire fringe signal; mapping the position of each particle into a parameter combination of a VMD algorithm; decomposing by using a VMD algorithm to obtain a plurality of intrinsic mode function IMF components; envelope entropy corresponding to the IMF component is calculated, and the minimum envelope entropy is used as a fitness function value; the optimal position corresponding to the minimum envelope entropy is recorded, and population extreme value updating is carried out to update the individual optimal position Pbest and the population optimal position Gbest; judging whether an iteration termination condition is met or not; and outputting a calculation result, performing error compensation on the grating moire fringe signal according to actual parameters obtained by calculation, namely decomposing and reconstructing the moire fringe signal, and outputting the compensated signal. According to the invention, noise compensation is realized; and resource occupation and hardware realization difficulty are reduced.

A quantum processor is discussed. the quantum processor having a flux compensation circuit communicatively coupled to a first qubit. The flux compensation circuit includes a quantum flux parametron (QFP) flux pump circuit with a first QFP in communication with the first qubit and a storage circuit with a second Josephson junction and a storage loop coupled in series with the QFP flux pump circuit. The communication between the QFP flux pump circuit and the storage loop is mediated by the second Josephson junction. A first control line is in communication with the first Josephson junction and a second control line is in communication with the second Josephson junction. In use. flux stored in the storage loop back acts on the first qubit.

The invention discloses a large language model training-oriented FP8 quantization noise compensation method and system, and relates to the technical field of computer large language model data noise compensation. The method comprises the following steps that: a processor quantizes original data input into a memory according to a designed FP8 format to obtain quantized data representation; and obtaining quantization noise according to the original data and quantization data representation stored in the memory, and constructing a quantization noise training model by taking the quantization noise as a random variable. And designing a noise compensation mechanism by taking the parameters of the quantization noise training model and the compensation model stored in the memory as compensation units. And the processor determines an embedding point of the noise compensation mechanism embedded large language model in a compensation unit training process according to the compensation granularity demand, so that the original data is input into the large language model embedded with the noise compensation mechanism through the processor for iterative learning, and FP8 compensation data is output. By adopting the method, the hardware calculation speed can be increased and the memory access frequency can be reduced in the big language model data processing process.

The invention discloses a multi-frame fusion fixed image noise dynamic compensation system and method, particularly relates to the technical field of image processing, and is used for solving the problem that fusion boundary noise has artifacts due to existing independent noise compensation. The method comprises the following steps of: establishing a mapping relation between pixel-level imaging parameter difference degree and fusion weight by acquiring a multi-frame image sequence of different imaging parameters and identifying a transition region of brightness gradient dramatic change; extracting a frequency domain energy skewness feature and a chroma phase change boundary feature of the transition region, and generating a noise visibility correction factor through nonlinear fusion; dynamically constraining the compensation intensity range to realize multi-frame noise compensation collaboration; and finally, performing cooperative compensation and fusion output within the constraint range. Fusion boundary noise discontinuity is effectively eliminated, and the visual quality of high-dynamic-range imaging is remarkably improved.

A power converter can include a switching bridge having two input terminals that receive an input voltage and a switch node coupled to a primary winding of a transformer; at least one rectifier device coupled between a secondary winding of the transformer and an output of the power converter; and a common mode noise compensation capacitor. A first terminal of the common mode noise compensation capacitor can be coupled to a connection between the secondary winding of the transformer and the at least one rectifier device, and a second terminal of the common mode noise compensation capacitor can be coupled to one of the two input terminals. The common mode noise compensation capacitor can be coupled to an energized or a grounded input terminal. The common mode noise compensation capacitance can be selected to be equal to the turns ratio of the transformer times the parasitic capacitance of the transformer.

The invention discloses an optical sensing system based on double Fabry-Perot cavities. The optical sensing system comprises a laser module, a main light path module and a reference light path module, wherein the laser module is used for generating two laser beams which respectively enter a main light path and a reference light path; the reference light path module is used for providing a light source fluctuation reference signal for noise compensation; the main light path module comprises a double Fabry-Perot cavity sensing unit, a total reflection mirror, a focusing lens, a grating spectrometer, an optical detector and a signal processing unit. A double-Fabry-Perot cavity sensing unit in the main light path module adopts a novel micro-hemisphere double-cavity interference structure, and temperature and pressure changes are tested in combination with a synchronous resolving method. According to the technical scheme provided by the invention, the synchronous high-precision measurement of the temperature and the pressure can be realized by optimizing the structural design of the cavity, deepening the coupling effect of the gas medium and the physical quantity and introducing a high-precision decoupling algorithm and a noise suppression mechanism, and the application requirements of complex and harsh scenes are met.

The invention relates to the technical field of underwater vehicle control, in particular to an underwater vehicle trajectory tracking method and system based on polynomial noise compensation. The method comprises the following steps: acquiring a theoretical trajectory, an actual trajectory and a velocity vector of an underwater vehicle; constructing a tracking constraint condition and a quadratic programming objective function; obtaining a time-varying linear equation through a Lagrange function and a KKT condition; introducing a logarithmic mapping activation function and a polynomial anti-noise compensation item to construct a continuous time DRZNN model; discretizing the model to obtain an iterative formula; solving a velocity vector sequence according to an iterative formula, and tracking the trajectory of the underwater vehicle according to the velocity vector sequence; the high-order time-varying noise is structurally counteracted through the polynomial anti-noise compensation item, the convergence direction is stabilized through the logarithm mapping activation function, the trajectory tracking error is converged to the preset precision in the complex disturbance environment, and the tracking precision and robustness of the underwater vehicle in the deep sea scene are remarkably improved.

A noise decibel testing method and device based on a smart wearable device, comprising: obtaining a PCM value of an audio signal of the smart wearable device and converting the PCM value into an RMS value; converting the RMS value into a voltage value, and then converting the voltage value into a sound pressure value; calculating a noise decibel of the audio signal according to the sound pressure value to obtain a first noise decibel value; obtaining a noise decibel compensation value by fitting a noise compensation curve; and compensating the first noise decibel value based on the noise decibel compensation value to obtain an actual noise decibel value tested by the smart wearable device. According to the audio signal of the smart wearable device, the first noise decibel value is obtained, the noise decibel compensation value is obtained by fitting the noise compensation curve, the first noise decibel value is compensated, and the actual noise decibel value measured by the smart wearable device is obtained, thereby solving the problem that the existing special instrument for testing noise decibel cannot be integrated into a smart watch and thus cannot directly test an external noise decibel value.

The application provides a dynamic motion trajectory extraction method based on Kalman filtering and repeated data screening, which comprises the following steps: installing IMU on a plurality of key motion joints of a dynamic living body, generating an initial trajectory data set through data collected by the IMU; setting a state space model based on the measurement data in the initial trajectory data set and Euler angles, and performing noise compensation on the initial trajectory data set through a Kalman filter; optimizing the initial trajectory data set after Kalman filtering through a repeated data screening (RDS) algorithm to obtain an optimized trajectory data set; and calculating the joint axis direction through the optimized trajectory data set, and constructing the dynamic motion trajectory of the dynamic living body according to the calculated joint axis direction and the angular velocity data after Kalman filtering. The method combines the Kalman filtering algorithm and the repeated data screening algorithm to extract the trajectory, and significantly improves the robustness and accuracy of the dynamic motion trajectory extraction of the living body.

The present invention discloses a high-precision magnetic modulator signal processing method based on adaptive filtering and noise compensation, and relates to the field of signal processing technology. This method obtains and preprocesses the initial output voltage signal of the high-precision magnetic modulator, then reanalyzes it based on an adaptive filtering algorithm, a noise compensation algorithm, and comprehensive processing to obtain a processed output voltage signal. The present invention, through the adaptive filtering algorithm and the noise compensation algorithm, can effectively improve the signal accuracy and anti-interference capability of the high-precision magnetic modulator. Because the adaptive filtering algorithm adjusts the filtering parameters in real time to adapt to noise interference in different environments, it significantly reduces the impact of external noise on signal measurement. At the same time, the noise compensation algorithm further reduces the noise component in the signal, improving the purity and reliability of the measured data, thereby enabling the signal processing method to maintain high-precision output under complex working conditions.

The invention relates to an EMC discrete noise compensation circuit, and the circuit comprises a noise generation module which is used for generating a square signal and a gain adjustment signal based on a discrete noise signal, and the square signal and the discrete noise signal are the same in frequency and are opposite in phase; the gain amplification module is used for generating a noise compensation signal which counteracts the discrete noise signal based on the square wave signal and the gain adjustment signal; and the signal coupling module is used for coupling the noise compensation signal to an EMC (Electro Magnetic Compatibility) port of the electronic equipment so as to offset the discrete noise signal. According to the method, a specific noise source is introduced innovatively, the effect of totally compensating and counteracting the excessive noise signal is achieved by coupling the inverted same frequency noise signal and the original noise signal, various complex combination attempts such as filtering, suppression, bypass, shielding and grounding of traditional measures are abandoned, and the method is simple, clear and easy to implement.

Methods, systems, devices, and media are provided that reduce noise of a touch sensor panel attached to a display panel, the method comprising: in a case that a reference signal is input to the display panel, sensing a first test noise signal of a first frequency at a first receiving electrode of the touch sensor panel, and sensing N second test noise signals of the first frequency at N second receiving electrodes of the touch sensor panel, respectively, where N is a positive integer, where the first frequency is a frequency in or related to an in-band frequency range, where the in-band frequency range is a band-pass range including a driving frequency of a driving signal; based on a result of the sensing, determining N gains in power and phase between each second test noise signal and the first test noise signal, respectively; based on the N gains, determining N noise compensation signals for reducing or canceling N second actual noise signals of the first frequency at the N second receiving electrodes in a case that a display signal is input to the display panel.

The invention relates to a phase noise compensation method and a distributed optical fiber sound wave sensing system. The method comprises the following steps: S1, simultaneously receiving a light source phase noise signal and a coherent receiving signal of a scattering signal for sensing through a group of coherent receivers; s2, performing low-pass and high-pass filtering on the coherent receiving signal, and extracting a light source phase noise reference signal and a sensing signal; s3, on the basis of the phase noise reference signal, respectively performing phase noise extraction and reconstruction on the transmitted detection optical signal and the local oscillation optical signal in the coherent receiving process; s4, compensating phase noise introduced by local oscillation light according to the reconstructed phase noise signal, and performing time domain and frequency domain reconstruction on the detection light signal to obtain a matched filtering kernel function after phase noise compensation; and S5, carrying out signal demodulation based on the coherent receiving signal after phase noise compensation and the reconstructed matched filtering kernel function. Compared with the prior art, high-precision phase noise compensation can be realized under the condition of low complexity.

A regulator circuit is disclosed. The regulator circuit is configured to generate a regulated voltage for a load based on an unregulated supply voltage, the regulator circuit including a regulator, configured to receive the unregulated supply voltage and to generate the regulated voltage based on the unregulated supply voltage, where in the regulated voltage includes noise from the unregulated supply voltage; and a noise compensation circuit configured to amplify noise of the unregulated supply voltage, and to inject the amplified noise onto the regulated voltage.

The invention discloses a partition cooperative scanning method and system for a flexible touch screen, and relates to the field of display screens. In the method, the touch panel is divided into a plurality of preset partitions; scanning each preset partition by adopting a first scanning mode to obtain an original touch signal of each preset partition; dividing the touch panel into an active zone and an inactive zone comprising a plurality of inactive zones, and selecting the inactive zone in a preset zone from the inactive zone as a noise sampling point; scanning the activity partition by adopting a second scanning mode to obtain an activity signal, and scanning the noise sampling point by adopting the second scanning mode to obtain a local noise sample; constructing a noise reference model to obtain a noise compensation distribution matrix; and denoising the activity signal based on the noise compensation distribution matrix to obtain a target touch signal, and analyzing a touch point coordinate based on the target touch signal. By implementing the technical scheme provided by the invention, the user experience is improved.

The application discloses a low-delay level shift circuit with high CMTI, comprising a V / C conversion circuit, wherein the V / C conversion circuit is connected with a C / V conversion circuit and a short-time pulse generation circuit respectively, the C / V conversion circuit is connected with a clamping circuit, a CLK generation circuit and a register circuit respectively, the short-time pulse generation circuit is connected with a high-frequency transient voltage zero elimination circuit, the high-frequency transient voltage zero elimination circuit is connected with the CLK generation circuit and the register circuit, and the CLK generation circuit is connected with the register circuit. The low-delay level shift circuit with high CMTI combines high-speed level shift technology with anti-common-mode noise technology; wherein, the high-speed level shift adopts a pre-storage technology, and the next output state is loaded in advance, so that the signal transmission delay of the level shift circuit is effectively reduced; on this basis, the circuit increases a common-mode noise compensation technology, and high-frequency transient common-mode noise can be collected to compensate the adverse effects of the common-mode noise on the level shift output signal.

In one possible example aspect, the present disclosure provides a context-aware noise compensation system for a wearable device playing back media content to a user in a noisy environment, wherein the system is configured to: obtain a sound signal from the noisy environment; determine context information associated with the sound signal, wherein the context information comprises at least one of: vocal sound detection information indicative of presence of one or more vocal sounds of the user in the sound signal, or sound event detection information indicative of presence of one or more environmental sound events in the sound signal; and optimize, based on the context information, the media content for playback by the wearable device.

The application provides a MEMS navigation system optimization control method and a MEMS navigation system, and relates to the technical field of inertial navigation. The method comprises the following steps: determining noise compensation parameters according to measurement data of a target MEMS inertial measurement chip, and performing vibration compensation on each MEMS inertial measurement chip according to the noise compensation parameters; determining the weight of each MEMS inertial measurement chip according to the measurement data of each MEMS inertial measurement chip; and performing weighted summation on the measurement data of each MEMS inertial measurement chip based on the weight of each MEMS inertial measurement chip to obtain target measurement data. The common vibration error of each chip is uniformly corrected based on the target chip measurement data, and the system error is reduced. Meanwhile, multiple chips are redundantly arranged, random errors are reduced through information fusion, the measurement accuracy of the navigation parameters is improved, and the positioning accuracy of the navigation system is further improved.

The system includes D MISO filters and D interference cancellation filters, and multiple received signal sequences are D first received signal sequences. Each of i-th (i is an integer between 1 and D) MISO filters included in the D MISO filters receives i-th D received signal sequence as input and estimates i-th single transmitted signal sequence included in D transmitted signal sequences. Each of i-th interference cancellation filters included in the D interference cancellation filters receives a signal obtained by transforming i-th single estimated transmitted signal sequence, which is the estimation result of i-th single transmitted signal sequence, through phase correction processing and noise compensation processing, and the i-th D received signal sequence. The system cancels interference signals included in the i-th D received signal sequence, outputs the i+1-th D received signal sequence, and estimates D transmitted signal sequences including the i-th single transmitted signal sequence.

The application discloses a kind of self-adapting state noise compensation's maneuverable spacecraft orbit determination method, belong to aerospace technology field.The application implementation method is: establishing the general dynamic model and only angle observation model of unknown mutation for random nonlinear dynamic system;System state and covariance matrix are predicted based on dynamic model;System measurement residual and covariance matrix are calculated at t k+1 Instant, the matching degree of the prediction result of system based on dynamic model and inorganic model is represented by index function Λ k+1 ;Index function at t k+1 Instant is compared with the average of index function from t1 to t k When the difference between evaluation index and average is greater than threshold value, it is determined that system state mutation occurs, and state noise compensation is made to system prediction result;Orbit determination algorithm gain is calculated based on the result of system state noise compensation, and system prediction result noise compensation result and measurement result z k+1 are weighted to output t k+1 System state and covariance estimate value, and state estimate value at each time is iteratively solved, so that high-precision orbit determination of maneuverable spacecraft is realized.

The application discloses a multi-frame fusion fixed image noise dynamic compensation system and method, and particularly relates to the technical field of image processing, and is used for solving the problem of the existing independent noise compensation leading to the noise band artifact of the fusion boundary; a mapping relationship between the pixel-level imaging parameter difference degree and the fusion weight is established by acquiring a multi-frame image sequence with different imaging parameters and identifying a transition area with a dramatic change in luminance gradient; a noise visibility correction factor is generated by extracting the frequency energy skewness feature and the chroma phase change boundary feature of the transition area through nonlinear fusion; the multi-frame noise compensation is cooperated by dynamically constraining the compensation intensity range; finally, the cooperative compensation is executed within the constraint range and fused and output; the discontinuity of the fusion boundary noise is effectively eliminated, and the visual quality of the high dynamic range imaging is significantly improved.

The invention relates to the technical field of coordinated motion planning and control of double-arm robots, in particular to a large-model double-arm robot collaborative planning method for underwater equipment repair. According to the method, a double-arm kinematics model based on a relative Jacobian matrix is constructed, data are collected by combining vision, sonar and force sense multi-mode sensors, a tail end pose error and integral information are introduced to construct an anti-noise motion planning scheme, a noise compensation strategy is designed, an optimal solution is solved through numerical difference, and the noise compensation precision is improved. And meanwhile, a large model is combined to recognize voice or image signals to realize intelligent action arrangement. According to the method, the problems of low precision and poor adaptability caused by difficulty in adapting to underwater dynamic interference, insufficient noise immunity and lack of large model fusion in the existing scheme are solved, the precision and noise immunity of double-arm cooperation are improved, the intelligent decision-making capability is enhanced, the method is effectively adapted to high-pressure, high-corrosion and other complex underwater environments, and the high-precision and high-reliability requirements of equipment repair are met.

The present application belongs to the field of seismic signal acquisition, and particularly relates to a seismic signal acquisition system, method and device based on a low-noise MEMS inertial sensor, aiming at solving the problem that the prior art cannot decouple and eliminate noise at the system level. The present application comprises: an inertial quantity sensitive unit for converting a seismic signal into a capacitance signal; a reference voltage unit for providing force feedback and gain reference voltage; a readout unit for converting the capacitance signal into a voltage signal; a noise suppression unit for detecting the output of the reference voltage unit and generating two compensation signals; a loop control unit for realizing the closed-loop control required by the system; two adders for completing the summation of the two compensation signals and the main path signal before and after the loop control unit, realizing noise compensation; and a feedback control unit for generating a feedback control signal and applying it to the inertial quantity sensitive unit, so that the inertial quantity sensitive unit is always in a balanced position. The present application suppresses noise at the system level through the noise suppression unit, improving the ability to capture weak seismic signals.

The present application belongs to the field of distributed optical fiber sensing technology, and particularly relates to a kind of OFDR system phase noise compensation device and method based on or equivalent optical fiber loop auxiliary interferometer.The optical fiber 2x2 coupler and delay optical fiber of the present application constitute a loop and serve as the delay optical path of auxiliary interferometer, and the optical delay of laser will be doubled after each loop, thereby obtaining multiple beat signals with different optical delays.According to the different distances of the optical fiber to be measured on the main interferometer, the beat signal of the auxiliary interferometer with the closest optical delay is selected for compensation.The distance domain reflection signal of the whole sensing optical fiber can be obtained by splicing the compensated reflection signals at different distances, thereby realizing the phase noise compensation of the OFDR system in the whole range.The present application realizes the full-range and high-precision measurement of OFDR, and has the characteristics of simple structure, stable performance, low manufacturing cost and the like.

The application relates to a waveguide loss measurement method based on double-channel detection, which is used for accurately obtaining the linear loss coefficient of a nonlinear waveguide to be measured. Pump light, probe light and auxiliary laser are combined and injected into the waveguide to be measured to trigger a four-wave mixing effect to generate idler light; then, the waveguide output light is split into two paths through a light splitting element, and the idler light signal and the auxiliary laser signal are extracted as a measurement channel and a reference channel; the waveguide temperature is adjusted to stabilize the idler light power, and a linear interval of the probe light and the idler light power is obtained through fitting; the probe light power is fixed in the interval, a noise compensation factor is generated by using the average power and the instantaneous power of the auxiliary laser, the idler light power is corrected in real time, and finally the waveguide loss is calculated based on the corrected data. The method realizes real-time noise cancellation through double channels, combines parameter locking and linear interval screening, greatly improves the measurement stability and precision, and adapts to the loss detection requirements of various nonlinear waveguides.

The invention discloses a ripple and noise compensation method and system for charging pile electric energy metering. The method comprises the steps of obtaining charging current measurement data of charging pile electric energy metering equipment, performing frequency domain analysis, preliminarily estimating a ripple proportion, and decomposing the charging current measurement data into a low-frequency sub-band and a high-frequency sub-band based on ripple proportion wavelet transformation. Calculating a ripple proportion of the low-frequency sub-band, generating a ripple reference signal according to the ripple proportion of the low-frequency sub-band, and performing LMS adaptive filtering and system error correction based on the ripple reference signal by using an LMS adaptive notch filter to obtain a pure current signal of the low-frequency sub-band; de-noising to obtain a pure current signal of the high-frequency sub-band; and reconstructing the pure current signals of the low-frequency sub-band and the high-frequency sub-band into pure current signals through wavelet inverse transformation. The invention aims to dynamically compensate and suppress the ripple and noise interference in the current measurement signal of the charging pile, so as to improve the measurement precision, and enable the charging pile to meet the strict requirements of electric energy measurement precision and reliability.

A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a vibration sensor, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and the vibration sensor and process the signals to identify motion of the patient.

This invention discloses a vibration compensation method for an atomic absolute gravimeter based on a generalized regression neural network. The method collects three-component vibration data and true vibration phase under different vibration environments; constructs a sample; establishes a generalized regression neural network model and a loss function; searches for a smoothing factor within a set range to obtain a generalized regression neural network with the optimal smoothing factor and network parameters; establishes a vibration noise compensation model, and performs gravity acceleration compensation based on the vibration noise compensation model. The invention introduces a smoothing factor to optimize the training process of the generalized regression neural network model, obtaining an optimized generalized regression neural network model. Based on the measured three-component vibration data, the vibration phase can be predicted, and the compensated gravity acceleration can be further calculated.

The present invention discloses a method for autonomous space-based maintenance of a Beidou satellite-borne clock based on a space station frequency reference, relating to the field of time and frequency control technology. The method comprises: obtaining raw clock error data from a space station atomic clock and a BDS-3 satellite-borne clock and preprocessing the raw clock error data; performing sliding interpolation processing on the preprocessed clock error data sequence to obtain a continuous clock error data sequence; performing digital noise compensation on the continuous clock error data sequence; constructing a Kalman filter parameter estimation model using the compensated clock error data sequence to obtain the BDS-3 satellite-borne clock frequency steering amount for the next steering cycle; and performing frequency steering operations on the BDS-3 satellite-borne clock for the next steering cycle using the BDS-3 satellite-borne clock frequency steering amount. The present invention can reduce the dependence of the BDS-3 satellite-borne clock on the ground system, enabling it to maintain its autonomous operation in orbit for a longer period of time.