270 results about "Nonlinear distortion" patented technology

The invention relates to a retiming circuit applied to an ultra-high-speed and high-precision DAC (Digital-to-Analog Converter), which comprises an alignment module, a cross point adjusting module, a coding module, a phase detection module and a digital module, the coding module is connected with the alignment module, the phase detection module is connected with the cross point adjusting module and the coding module, and the digital module is connected with the phase detection module and the alignment module. According to the circuit structure provided by the invention, the sampling clock can be accurately aligned to the center of a data eye pattern, so that the delay difference between a clock tree and a data path caused by process deviation and the like is effectively reduced, the high-frequency spurious suppression performance is improved by eliminating nonlinear distortion caused by time sequence errors, the SFDR is greatly improved, and compared with a traditional scheme, the SNR is effectively improved.

The invention relates to the field of lithium battery intelligent monitoring, in particular to a low-temperature-resistant lithium battery BMS monitoring method and system based on cooperative sensing. The method comprises the following steps: acquiring surface temperature distribution, environment temperature and electrochemical parameters of the low-temperature tolerant lithium battery, and constructing a multi-source state characteristic matrix through space-time alignment and data fusion; applying a composite current excitation signal, and combining impedance analysis and spectrum analysis to extract impedance parameters, nonlinear distortion components and electrochemical stress factors to form a multi-dimensional feature vector; obtaining a state monitoring result by utilizing decision level fusion; through multi-sensor fusion and multi-dimensional feature fusion, the special internal state of the low-temperature tolerant lithium battery is comprehensively represented, early risk identification and early warning are carried out aiming at unique electrochemical behavior features of the low-temperature tolerant lithium battery, and compared with a common lithium battery monitoring method, the method has the advantages that the safety is high; and the accuracy, the robustness and the real-time performance of monitoring the state of the low-temperature tolerant lithium battery in the low-temperature environment are remarkably improved.

The invention discloses a wide temperature range compensation method for resistive current of a lightning arrester, which belongs to the technical field of online monitoring of power equipment, and comprises the following steps: acquiring waveform data under a reference low-temperature working condition, and establishing an initial capacitive harmonic base; acquiring working condition data at any temperature in real time, performing harmonic decomposition, and analyzing to generate a nonlinear distortion feature vector; dynamically correcting the initial base by using the feature vector, and carrying out subtraction operation on the total current harmonic wave to obtain a final resistive current harmonic wave vector; and reconstructing an instantaneous resistive current waveform through inverse transformation and calculating a characteristic value. According to the technical scheme, the initial capacitive harmonic wave base is established, the nonlinear distortion feature vector is generated based on the harmonic distortion of the real-time working condition quantification temperature and valve plate nonlinear coupling, and dynamic feedback correction is conducted on the base, so that the real resistive current waveform in the wide temperature range can be accurately separated and reconstructed, and the accuracy of the real resistive current waveform in the wide temperature range is improved. And the accuracy and reliability of lightning arrester state evaluation are improved.

The invention is suitable for the technical field of semiconductor testing, and provides a data acquisition method and device based on a DDIC chip, and testing equipment, and the data acquisition method comprises the steps: receiving a test pattern, controlling the DDIC chip to output a corresponding gray scale voltage signal, and achieving the comprehensive testing of the response capability of the chip in a full gray scale range; secondly, a target acquisition link composed of functional units including impedance conversion, single-ended to differential conversion, programmable gain amplification, filtering, analog-to-digital conversion and the like is utilized, so that the signal driving capability and the anti-interference capability are effectively improved, meanwhile, high-frequency noise and nonlinear distortion are reduced, and the basic quality of sampled data is guaranteed; on the basis, sampling optimization processing is carried out on the sampling data based on the FPGA unit, and the data stability is improved. According to the scheme, through high-precision transmission of the signal link, the data acquisition precision of the DDIC chip is improved, and then the technical requirements of high-precision DDIC chip testing are met.

The invention relates to the technical field of surface mounting, and discloses an SMT (Surface Mount Technology)-based patch vision correction method, which comprises the following steps: S1, a calibration stage: constructing a double-coordinate system mapping model based on a PCB (Printed Circuit Board) plane, and establishing a nonlinear distortion compensation matrix according to the patch thickness; s2, a pickup stage: a CCD shooting camera is arranged at the top of the suction nozzle, a top CCD is triggered to shoot when the suction nozzle picks up an element, and pin coplanarity data is extracted; s3, a positioning stage: setting a reference point at the top of the PCB, scanning the PCB reference point through a CCD, and calculating a deviation between an actual position and a theoretical coordinate by using an algorithm processor; and S4, compensation execution: the motion shaft system dynamically adjusts the mounting path according to the deviation vector. The visual correction method based on SMT pasting has the advantages of accurate pasting and the like, and solves the problems of pasting position offset, low efficiency and unstable precision caused by factors such as vibration of an element feeder, mechanical transmission errors and thermal deformation of a PCB (Printed Circuit Board) due to dependence on manual calibration in the existing SMT pasting process.

The invention relates to the technical field of aluminum alloy forming processes, and discloses an intelligent optimization method of an aluminum alloy round aluminum rod forming process. The method comprises the following steps: acquiring process parameter monitoring data of smelting, casting and rolling stages, wherein the process parameter monitoring data comprises temperature gradient, pressure fluctuation value and alloy component real-time variation; based on the time sequence relevance of the technological parameter monitoring data of the smelting stage and the casting stage, the technological parameter transmission delay amount between the two stages is calculated, and the parameter fluctuation compensation factor of the casting stage is determined accordingly. And determining the energy interference intensity of each process stage in the corresponding frequency domain according to the temperature gradient difference value, the pressure fluctuation change rate and the alloy component offset of the adjacent process stages in the short-time window. And generating a process nonlinear distortion probability based on the energy interference intensity distribution of all adjacent process stages. And the pressure control reference value in the rolling stage is dynamically adjusted according to the process nonlinear distortion probability. By means of the method, intelligent optimization of the aluminum alloy round aluminum rod forming process is achieved.

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

The invention provides a method for automatically determining the content of main elements in lithium battery black powder, and belongs to the technical field of lithium batteries. Characteristic spectral line intensity is collected by adopting an inductively coupled plasma emission spectrometer, background signals are deducted through wavelet multi-resolution decomposition, and the content of the main elements in the lithium battery black powder is obtained. Spectral overlapping peaks are separated through Fourier transform, an internal standard element is used for correcting a matrix effect, signal fluctuation introduced by pulse of a peristaltic pump is eliminated by adopting Kalman filtering, and relative intensity subjected to filtering smoothing is input into a multi-scale concentration calibration model with a layered soft maximum value classification layer; according to the model, interval affiliation probability distribution is output through a coarse-grained classifier, a fine-grained classifier is selected to carry out local concentration prediction and weighted fusion is carried out to obtain a concentration prediction value, and quality control standard sample monitoring and an instrument recalibration mechanism are combined; the technical problem that the measurement precision is reduced due to nonlinear distortion of a calibration curve when the multi-element concentration in the lithium battery black powder crosses a wide concentration range is solved.

The invention discloses a visual compensation alignment method and system for a special-shaped screen, and belongs to the technical field of image processing, and the method comprises the steps: obtaining physical geometric parameters of the special-shaped screen, carrying out the mathematical simulation, and generating a physical perception deviation map; receiving a content image, performing multi-scale semantic analysis, and generating a content perception joint constraint tensor; constructing and iteratively solving an energy function, and generating an optimal visual compensation flow field; performing nonlinear distortion and reconstruction, and outputting a pre-compensated content image; and performing sub-pixel-level processing through the flexible edge mixed mask, and outputting a final display picture. According to the method, a joint optimization strategy fusing a screen physical perception model and content semantic analysis is adopted, the key visual content can be intelligently protected while the physical fidelity is maximized, and seamless and high-fidelity fusion of a display picture and a special-shaped screen physical form is achieved.

The invention provides an intelligent audio power amplifier system and a working method thereof. The working method comprises the steps that a dynamic noise suppression module enables an input signal after reverse noise injection to enter a distortion compensation module; a distortion compensation signal is synthesized by using a distortion compensation module; the life cycle parameter self-calibration module calibrates parameters and inputs the parameters to the dynamic noise suppression module and the distortion compensation module; the dynamic noise suppression module is based on an intelligent learning method and adopts a frequency band channel network, a time sequence channel network and a fusion layer; the life cycle parameter self-calibration module provides the temperature and the working time for the dynamic noise suppression module to optimize the time domain channel network and provides the temperature and the working time for the distortion compensation module to update the predistortion coefficient of the dynamic nonlinear distortion model; the output of the dynamic noise suppression module is provided for the distortion compensation module; and the output of the distortion compensation module is fed back to the dynamic noise suppression module. The problems of high-frequency noise interference, nonlinear distortion degradation and insufficient long-term stability are solved at the same time.

The invention is suitable for the technical field of power electronics, and provides an intelligent management method and system for a power amplifier, and the method comprises the steps: obtaining the output voltage and current of the power amplifier, and determining the real-time load impedance; predicting the junction temperature of the power amplifier according to a coupling thermal model associating the effective thermal resistance with the load mismatch degree; based on the predicted junction temperature and real-time load impedance, stability compensation parameters for maintaining operational stability and pre-distortion parameters for compensating for non-linear distortion are cooperatively determined and adjusted. Through cooperative intelligent management, safety and reliability can be improved, performance maximization is realized, and high fidelity of all working conditions is ensured.

The invention relates to the technical field of optical fiber wireless communication and mobile forward transmission, in particular to a digital analog optical fiber wireless forward transmission transmitting end parameter self-adaptive optimization method and system based on reinforcement learning. Decomposing the normalized wireless signal into digital parts of all levels and a final analog residual error part through multi-level modulation, and transmitting the digital parts and the final analog residual error part in a time division multiplexing manner; a receiving end represents inter-symbol interference caused by link nonlinear distortion and bandwidth limitation, and the signal-to-noise ratio of a recovery signal is calculated based on the error vector amplitude. Parameters of a transmitting end are optimized and modeled into a Markov decision process, states comprise rounding factors, scaling factors, constellation forming factors and pre-equalization filter tap coefficients of all levels, and actions are discrete increments of the parameters; a reinforcement learning agent is constructed by using a dual deep action value network, and training is updated in combination with experience playback and a target network. The reward function comprises a threshold satisfaction item and a signal-to-noise ratio change item; parameters are interactively updated in the training stage, and online self-adaptive adjustment is performed in the reasoning stage.

The invention relates to the technical field of wireless communication, and discloses a sparse channel estimation method and system for 5G-A5G-A super-large scale MIMO. The system comprises a quantitative sensing preprocessing module, a layered sparse reconstruction module, a high-precision guide correction module and a dynamic threshold decision module, and realizes efficient and accurate recovery of channel sparse characteristics under strong quantitative interference through nonlinear distortion compensation, multi-resolution sparse recovery, high-precision reference signal guide correction and parameter adaptive adjustment. The estimation performance is improved; and the calculation complexity is balanced.

The invention requests to protect an ADC dynamic parameter test method based on spectrum correction, and the method comprises the following core steps: a primary spectrum correction stage: carrying out the spectrum error correction of an ADC output signal through employing a spectrum three-interpolation algorithm, and extracting a fundamental frequency; the sine wave amplitude, the phase and the direct current offset are solved through least square fitting, an initial ideal sine reference sequence is constructed, and noise separation is carried out for the first time. In the secondary spectrum optimization stage, a classic Hanning window function and a frequency domain two-point interpolation algorithm are adopted; and a sine wave error compensation sequence is constructed, and secondary noise extraction is carried out. In the coherent parameter reconstruction stage, the ADC output sequence is restored to a standard test state through amplitude and frequency conversion. According to the invention, the risk of test failure caused by the fact that the amplitude of the input signal exceeds the ADC range can be effectively avoided. On the basis, the secondary spectrum optimization significantly improves the recognition precision of the test algorithm on the harmonic distortion of the ADC output sequence, and effectively reduces the measurement error caused by nonlinear distortion.

The invention relates to a model training method and device and a signal conversion method. The model training method comprises the following steps: inputting an original digital signal sent by a digital signal source into an initial model to obtain a sample digital signal output by the initial model; performing digital-to-analog conversion on the sample digital signal through a digital-to-analog conversion circuit in the signal processing chip to obtain a sample analog signal corresponding to the sample digital signal; determining a predicted value of a nonlinear distortion index of the digital-to-analog conversion circuit according to the sample digital signal and the sample analog signal; wherein the nonlinear distortion index comprises a total harmonic distortion index and / or an intermodulation distortion index; and performing parameter adjustment on the initial model according to the predicted value and the expected value of the nonlinear distortion index to obtain a digital signal conversion model. The digital signal conversion model obtained through training of the method can process original digital signals so as to compensate nonlinear distortion of a digital-to-analog conversion circuit.

The application discloses a galvanometer scanning distortion real-time correction method and system based on visual feedback, relates to the technical field of galvanometer scanning, and comprises a preset standard scanning track, acquisition of ideal scanning coordinates of each feature point in the standard scanning track under a galvanometer scanning coordinate system, and a track image corresponding to a moment and galvanometer angle data when the standard scanning track is scanned by the galvanometer. The application compensates inherent static distortion caused by optical geometry and assembly error by means of an initial static linear distortion correction table and an initial static nonlinear distortion correction table, and when irreversible thermal drift in dynamic thermal distortion accumulates beyond the standard, the increment is automatically updated to the static correction table, permanent deformation is converted into static compensation, and the reversible thermal distortion part is automatically rolled back when the galvanometer is stopped and cooled, so that the high-efficiency elimination capacity of static calibration on inherent distortion is retained, and irreversible deformation generated by long-term thermal cycle can be dynamically adapted.

The invention relates to a high-linearity depletion type high-electron-mobility transistor and a preparation method thereof. The high-electron-mobility transistor comprises a substrate, a nucleating layer, a buffer layer, a channel layer, an intermediate layer, a barrier layer, a cap layer, a source electrode, a drain electrode, a passivation layer, a gate dielectric layer, a plurality of first gate metal and a plurality of second gate metal. The substrate, the nucleating layer, the buffer layer, the channel layer, the intermediate layer, the barrier layer and the cap layer are stacked in sequence; the source electrode and the drain electrode are respectively located at two ends of the cap layer; the passivation layer is located on the cap layer between the source electrode and the drain electrode, and a groove extending to the cap layer is formed in the gate region; the gate dielectric layer covers the passivation layer and the surface of the groove; a plurality of first gate metals are distributed in the groove at intervals along the gate width direction; the second gate metal covers the plurality of first gate metals and the gate dielectric layer between the first gate metals; the work function of the first gate metal and the work function of the second gate metal are different. The transistor reduces the nonlinear distortion of the output signal.

The invention provides a double-pole double-throw radio frequency relay fault real-time detection method and system, and relates to the technical field of radio frequency relay fault detection. The method comprises the following steps: respectively applying a test excitation signal to each independent signal path and acquiring a response signal; performing frequency domain feature extraction on the response signal to obtain a nonlinear distortion feature value representing the physical state of the internal contact of each independent signal path; comparing the nonlinear distortion characteristic value of each independent signal path with the corresponding path independent health reference in real time to obtain a deviation value; and independently judging whether each independent signal path has physical degradation or not according to the deviation value. The method provided by the invention aims to solve the problems of false alarm and missing alarm caused by the difference of the physical characteristics of two independent signal paths when the double-pole double-throw radio frequency relay runs for a long time and the environment is changed in the prior art, and is beneficial to improving the accuracy of fault detection and the efficiency of production testing.

A chessboard recognition and calibration method for a complex scene comprises the following steps: preprocessing an input chessboard image to obtain a binary image, and adopting at least two morphological cores of different sizes to perform parallel morphological operation on the binary image to obtain a first candidate point set and a second candidate point set respectively, the first candidate point set is used as a high-precision point set, and the second candidate point set is used as a high-robustness point set; processing an input chessboard image by adopting the trained target detection model so as to identify and position four global angular points of the chessboard; reconstructing four high-precision boundary lines of the chessboard based on the first candidate point set, and obtaining internal anchor points of the chessboard based on the second candidate point set; a chessboard image; and if the second recognition mode is selected, preprocessing an input chessboard image to obtain a binary image. The method has the advantages that the chessboard grids with nonlinear distortion can be accurately reconstructed in a low-cost and high-robustness mode, and the states of the chess pieces on the chessboard grids can be identified.

The invention provides a linearization circuit and a power amplifier, the linearization circuit comprises an impedance adjusting circuit, a first input end of the impedance adjusting circuit is used for accessing a first control signal, and a second input end of the impedance adjusting circuit is used for accessing a first radio frequency signal. A third input end of the impedance adjusting circuit is used for accessing a second radio frequency signal; each of the first control signal, the first radio frequency signal and the second radio frequency signal comprises a direct current component; the value of voltage accessed to the second input end of the impedance adjusting circuit changes along with the change of the first radio frequency signal, and the value of voltage accessed to the third input end of the impedance adjusting circuit changes along with the change of the second radio frequency signal, so that the impedance of the impedance adjusting circuit is dynamically adjusted. The linearization circuit provided by the invention can compensate the nonlinear distortion of the power amplifier so as to improve the quality of a radio frequency signal.

This invention provides a method for eliminating inter-symbol interference (ISI) and nonlinear distortion in a joint channel estimation system. The method includes system parameter settings, ultra-wideband channel estimation, construction of ISI and nonlinear distortion matrices, and least-squares estimation of the original signal. This method utilizes pilot signals to achieve ultra-wideband channel estimation. Subsequently, based on the channel estimation results, an iterative algorithm is used to construct the ISI and nonlinear distortion matrices. Based on these constructed matrices, the ISI and nonlinear distortion in the received signal are eliminated, achieving accurate estimation of the original signal, reducing the bit error rate of the communication system, and improving system performance.

The invention provides a method and a device for eliminating nonlinear damage in a KK receiver, which can perform accurate modeling and reconstruction on a beat frequency process between a pilot frequency and a transmission field signal as well as between the pilot frequency and a carrier field signal in a digital domain of the KK receiver, and combine least square normalization and an iterative feedback mechanism to eliminate nonlinear damage in the KK receiver. Non-linear damage introduced by pilot frequency beat frequency is effectively eliminated from a sampling receiving power signal, and residual non-linear distortion in a recovery field signal is remarkably reduced. Therefore, the requirements of the system on the bias stability of the transmitting end and the linearity of the device are reduced, the bit error rate performance is improved, the tolerance of the optical fiber transmission system on optical signal-to-noise ratio degradation and the achievable transmission distance are improved, and high-performance KK direct detection receiving in a complex nonlinear environment is realized.

The invention provides a zero-flux current sensor verification method and device based on frequency domain compensation, and relates to the technical field of electrical variable measurement. The method comprises the following steps: acquiring secondary side current signals at each temperature point of a preset temperature sequence, calculating a difference sequence of the secondary side current signals and a reference signal, and performing fast Fourier transform to obtain a frequency domain difference spectrum as a distortion feature vector; constructing a continuous mapping function of the temperature and the distortion feature vector; obtaining a primary side current signal and a secondary side current signal at the verification temperature, carrying out fast Fourier transform, and subtracting a distortion feature vector corresponding to the current temperature from a secondary side frequency domain signal for compensation; and calculating a phase difference according to the complex numerical values of the compensated secondary side frequency domain signal and the primary side frequency domain signal at the fundamental frequency, and carrying out qualification judgment. According to the invention, the nonlinear distortion influence of the temperature change on the secondary side signal of the sensor can be accurately eliminated, and the high precision and high stability of the verification result of the zero-flux current sensor are realized.

The present application relates to the field of radio frequency communication technology, and discloses a radio frequency nonlinear distortion adaptive compensation receiving method and system, wherein a state page number is constructed by combining a radio frequency chip working state word with a pilot deviation amount and envelope jump strength, so that the subsequent compensation process can be carried out around the current chip working page, instead of being processed only according to the whole frame unified error. By identifying the state switching window set inside the current receiving frame, a switching correction process is introduced in addition to the basic compensation, so that the stable area and the switching area can be processed respectively, thereby reducing the overcompensation or insufficient compensation problem caused by the whole frame unified compensation. Through the write-back update of the state page coefficient table, the device can gradually accumulate the basic compensation experience under different state pages, so that the adaptive coefficient can be called faster when the repeated state page appears subsequently, the long-term running stability is improved, and the problem that the whole frame unified compensation mode in the prior art is difficult to adapt to the internal state discrete switching of the radio frequency chip is solved.

The invention discloses an AR glasses binocular visual effect comprehensive optimization system and method, and a computer readable storage medium, and the system comprises a human-computer interface module, a parameter configuration module, a camera calibration module, an optical-mechanical image combination judgment module, a complete machine closed-loop adjustment module, a binocular consistency optimization module, and a permission and authorization module. All the modules work cooperatively through a unified data stream, and for a Micro-OLED light machine and waveguide sheet optical architecture, image combination precision judgment including translation, rotation, zooming and nonlinear distortion and closed-loop optimization of brightness consistency calibration are achieved, and quantized visual effect indexes are output.

A wireless communication device and a method for compensating nonlinear distortion of a wireless communication device are provided. The wireless communication device includes a transmitting (TX) baseband circuit, an amplitude modulation (AM) circuit, a phase modulation (PM) circuit, a power amplifier (PA), a calculation circuit and a compensation circuit. The TX baseband circuit outputs a TX signal to make the AM circuit and the PM circuit generate an AM signal and a PM signal, respectively. The PA takes the AM signal as a supply voltage and generates an output signal according to the PM signal. The calculation circuit estimates a delay skew between the AM signal and the PM signal according to a detection result of the output signal to generate an estimation result, and the compensation circuit compensates the AM signal or the PM signal according to the estimation result, in order to reduce the delay skew.

The application relates to the technical field of power distribution system fault diagnosis, and discloses a time sequence feature mining abnormality diagnosis method and system for power distribution box data, which comprises the following steps: synchronously reading in-line terminal voltage waveforms and out-line terminal current waveforms, and constructing a multi-dimensional time sequence matrix; performing non-filtering frame segmentation and windowing, separating fundamental waves and residual high-frequency components, and obtaining a residual high-frequency component sequence; extracting distortion peak time and amplitude, generating a high-frequency distortion event stream and recording occurrence density; generating a loop equivalent impedance trajectory based on the instantaneous ratio of voltage and current; comparing the occurrence density and background noise baseline, marking transient abnormality features and extracting nonlinear distortion sections in the impedance trajectory; when the event occurrence time falls within the time window of the nonlinear distortion section, an intermediate diagnosis conclusion is output; and when the cumulative intermediate conclusions exceed a threshold value, an alarm signal is generated. The application does not require training samples, and early diagnosis of contact state deterioration risk is realized through time sequence feature physical mining.

The invention relates to the field of sound signal processing, and discloses a relay gateway echo cancellation method and device and a medium, and the method comprises the steps: obtaining a near-end voice instruction digital signal X (n) and a far-end reference signal Y (n) through a TDM bus interface, and n is a time domain sampling point sequence number; inputting the Y (n) into an adaptive filter bank, calculating a filter coefficient W (n) through a minimum mean square error criterion, and generating an analog echo signal; performing time domain subtraction operation on the X (n) to obtain a primary residual signal; performing non-linear distortion detection, and activating a secondary cancellation module when a non-linear component is detected; performing sub-band decomposition on the X (n) in the secondary elimination module, and generating a compensation signal C (n) by adopting a frequency domain weighting method; carrying out superposition processing on the residual signal and C (n), and outputting a final residual signal; the method has the beneficial effect that linear and nonlinear echoes are remarkably reduced.

The invention discloses a rail-to-rail input bias current compensation circuit, which is characterized in that an input pair transistor module is formed by a PNP input differential pair and an NPN input differential pair which are connected in parallel, and can be switched to work or work simultaneously in a full common-mode voltage range to adapt to different input voltage conditions; secondly, the current sensing module samples the change of the bias current to generate a sensing current, so that the change of the bias current can be dynamically monitored and compensated; the current mirror module copies the sensing current, the input geminate transistor matching module serves as a matching transistor circuit of the input geminate transistor module, and after the sensing current is reduced, the sensing current is injected into the differential input end of the rail operational amplifier through the high-impedance current mirror module. The technical problems that in an existing PNP and NPN combined compensation method, the input bias current is large, the amplification factor difference of NPN and PNP tubes in a full-temperature region is large, and in a mirror image compensation method, only linear copying can be conducted on a direct-current working point, the nonlinear component of the input bias current Ib changing along with differential mode voltage Vdm cannot be tracked, and consequently nonlinear distortion is serious are solved.

The present application provides a communication method and a communication apparatus, which can mitigate the problem of signal nonlinear distortion, thereby improving the signal coverage and signal-to-noise ratio, and can be applied to communication systems. The method comprises: a first device acquires a first signal, wherein the first signal is generated at least on the basis of a second signal and a first model, and the first signal at least satisfies one of the following conditions: being used for reducing a peak-to-average power ratio, or the peak-to-average power ratio of the first signal and the second signal being less than the peak-to-average power ratio of the second signal; and the first device sends the first signal and the second signal.