41 results about "Signal averaging" patented technology

The invention provides a cardiac autonomic neurodynamics quantitative evaluation method based on a phase ordering signal averaging technology. The cardiac autonomic neurodynamics quantitative evaluation method comprises an ECG signal preprocessing step, a QRS wave detection and processing step, a phase ordering signal averaging step and an autonomic neurodynamics quantitative analysis step. According to the cardiac autonomic neurodynamics quantitative evaluation method based on the phase ordering signal averaging technology, on the basis of inhibiting aperiodic interference and improving index stability in a complex physiological environment, continuous analysis of cardiac sympathetic nerve activity and cardiac parasympathetic nerve activity is carried out; time-varying CSI and CPI indexes are extracted to realize quantification of cardiac autonomic neurodynamics, and a lightweight algorithm framework is designed to adapt to real-time monitoring requirements of portable equipment.

The invention relates to the technical field of V2I communication, and provides an OTFS signal blind frequency offset estimation method and device, and a medium, and the method comprises the steps: obtaining an OTFS baseband time domain receiving signal; based on the OTFS baseband time domain receiving signal, obtaining a time delay domain receiving signal; calculating the average power of the time delay domain received signals based on the time delay domain received signals; acquiring a time delay-Doppler domain signal based on the time delay domain receiving signal; estimating frequency offset through a cost function based on the time delay domain receiving signal average power and the time delay-Doppler domain signal; and performing frequency offset compensation on the received signal by using the estimated frequency offset. According to the method, the problem that the reliability of the system is reduced due to the fact that the vehicle runs at a higher speed in a V2I communication scene is solved, the robustness of the OTFS system to Doppler frequency shift can be further improved, and the communication quality of the vehicle during high-speed movement is guaranteed.

The invention provides a phase error correction method for an inductive position sensor. The device is characterized by consisting of a first group of multipliers (1), a sliding window integrator (2) for solving a signal average value in a period of time, a second group of multipliers (3) and an adder group (4). The method can be used for correcting and eliminating the phase error in the inductive position sensor chip circuit, and can be widely applied to the fields of industrial robots, automobile manufacturing, industrial automation and the like.

A kind of depth camera module with dirt detection function, including laser emitter, for switchably emitting structured light or floodlight;Receiver, for receiving the reflection signal of the structured light or the floodlight;Controller, for controlling the laser emitter emits structured light and floodlight in a certain proportion, the receiver receives the first signal of adjacent structured light and the second signal of the floodlight, respectively generates first depth map and second depth map, obtains first area N1 with depth value less than N on the first depth map, obtains second area N2 with depth value less than N on the second depth map, according to the ratio of signal average intensity on the first area N1, the second area N2 judges whether there is dirt on lens or not.The present application does not need additional device, can carry out dirt detection at any time, and does not affect data acquisition, with very high efficiency and convenience.

This invention relates to a method and system for monitoring and enhancing the power of GPS P(Y) signals based on civilian signal tracking. The method employs a carrier tracking loop to stably track civilian satellite navigation signals, generating a local carrier with the same frequency and phase as the GPS satellite navigation digital signal. The GPS satellite navigation digital signal is then orthogonally mixed with the local carrier to output the in-phase branch signal u. I (n) and the orthogonal branch signal u Q (n); the in-phase branch signal u I (n), Orthogonal branch signal u Q (n) Perform low-pass filtering and incoherent integration respectively to obtain the average power P of the baseband signal in the in-phase branch. IB Average power P of baseband signal in orthogonal branch QB The average power P of the baseband signal in the same phase branch IB Average power P of baseband signal in orthogonal branch QB The power enhancement state of the current P(Y) signal is determined by comparing it with the weak-state power threshold of the in-phase branch, the strong-state power threshold of the in-phase branch, the strong-state power threshold of the quadrature branch, and the weak-state power threshold of the quadrature branch.

This invention discloses a remote, non-contact heart rate estimation method, system, and device based on sparse structure representation, belonging to the field of physiological sign research applications. It addresses the problem of inaccurate heart rate signal detection in existing methods, including: Step 1: Inputting a face video and segmenting the face into multiple sub-regions; Step 2: Constructing the average RGB pulse signal for each sub-region, performing motion compensation, and calculating the chromaticity signal S using linear combinations of different RGB channels, and calculating the signal-to-noise ratio; Step 3: Solving for the coefficient matrix using a structure dictionary composed of cosine bases of different frequencies and wavelet bases of different scales, and reconstructing the heart rate signal using the structure dictionary and coefficient matrix; Step 4: Averaging the reconstructed sub-region heart rate signals and performing power spectral analysis to calculate the heart rate HR. Finding the optimal sparse representation based on the dictionary, reconstructing the heart rate signal using the dictionary and sparse coding, and representing the most realistic heart rate signal with as few dictionary atoms as possible helps improve the accuracy of the algorithm.

This invention discloses a variable-step automatic gain control method based on an adaptive window, applicable to signal automatic gain control in data acquisition systems. The method preprocesses the input signal and samples it using an ADC to obtain a digital signal, which is then fed into an FPGA. A zero-crossing detection method based on a hysteresis comparator is used to estimate the signal frequency, and the window length is calculated based on this adaptive amplitude matching. The average signal amplitude within the window is then calculated and compared with a preset automatic gain threshold range. The gain step value is dynamically matched and updated to the variable gain amplifier to complete closed-loop control. Finally, the gain value is used to perform an amplitude inverse calculation to restore the signal. This invention improves the detection accuracy and dynamic response speed of the system over a wide bandwidth and dynamic range, eliminates the hardware resource consumption of floating-point division operations, and accurately outputs a distortion-free original proportional signal stream.

Yaw drive monitoring method The invention describes a method of monitoring a wind turbine yaw system (2) comprising a plurality of yaw drives (D1, …, D8), which method comprises, for each yaw drive (D1): receiving encoder data (Eout) from a motor speed encoder (E) of that yaw drive (D1); computing a signal mean (10M) on the basis of the received encoder data (Eout); computing a collective signal mean (10Mcoll) from the signal means (10M) of the other yaw drives (D2, …, D8); comparing the signal mean (10M) to the collective signal mean (10Mcoll); and flagging that yaw drive (D1) as potentially faulty if the corresponding comparison result (10Δ) exceeds a predefined threshold (10T). The invention further describes a monitoring arrangement (1) for a wind turbine yaw system (20); and a 15 wind turbine (2) comprising such a monitoring arrangement (1).

The present invention belongs to the field of speech processing and transmission technology, and specifically provides a joint source-channel coded speech wireless transmission method based on an adjusted autoencoder, which is used to adapt a single deep joint source-channel model to different channel conditions. The autoencoder of the present invention includes: a transmitter, a channel module, and a receiver. The transmitter includes: a joint encoder and an adjustment network. The channel module includes: a signal average transmit power limiter and a wireless channel. The receiver includes: a joint decoder and a demodulation network. The adjustment network and the demodulation network generate adjustment factors based solely on the signal-to-noise ratio (SNR) value of the wireless channel, and scale the speech feature vectors in the joint encoder and joint decoder to adjust the encoding and decoding processes, thereby achieving the ability to resist channel noise of varying intensities. Based on this, the present invention can provide robust speech wireless transmission performance within a given channel SNR range, surpassing existing deep joint source-channel methods.

The invention belongs to the technical field of integrated circuits, and provides a single-ended MEMS input-to-differential output circuit and an implementation method thereof. Through the CMFB circuit, effective signals of the CMEMS are averagely distributed to the VBIAS end and the VIN end, the maximum signal range which can be processed by the Pre-amplifier is doubled, meanwhile, a single-end-to-differential circuit is omitted, power consumption and noise are reduced, and circuit performance is improved. Compared with the prior art, according to the technical scheme, an impedance matching circuit or a capacitance compensation circuit is omitted, so that signal attenuation caused by parasitism is reduced, and performance is improved. Particularly, the stray capacitance of the VBIAS end can be ignored. The problem of performance deterioration under the condition that the stray capacitance of the VBIAS end is too large in the prior art is solved.

The present invention relates to the technical field of wireless communications. Disclosed in the present invention is a power amplifier. The power amplifier comprises a signal input end, a radio frequency amplifier and a signal output end which are electrically connected in sequence, and an average power tracking circuit. An input end of the average power tracking circuit is used for connecting a power supply and receiving an output signal of an external host computer, an output end of the average power tracking circuit is connected to an input end of a radio frequency amplifier, and the average power tracking circuit is used for converting, on the basis of a received target voltage value, a power supply voltage output by the power supply into a preset voltage to supply power to the radio frequency amplifier. The average power tracking circuit comprises a voltage conversion circuit, a comparator, a loop filter circuit, a PWM modulator, a voltage divider circuit, a pulse circuit, and a first inductor. By switching the characteristics of the loop filter, the present invention enables the power supply to achieve both fast establishment and high-precision output, thereby allowing a working voltage of the amplifier to be as low as possible, and further reducing power consumption of the power amplifier.

The invention discloses a classical Bluetooth adaptive frequency hopping optimization method and device, and relates to the field of Bluetooth transmission. The method comprises the following steps: counting the average power of received signals while Bluetooth master equipment receives a response data packet of slave equipment in odd time slots; the average background noise power is counted in the idle time before the odd number of time slots are finished; determining a real-time signal-to-noise ratio according to a ratio of the average power of the received signal to the average power of the background noise; judging whether the real-time signal to noise ratio is greater than a signal to noise ratio threshold value; if yes, the current channel is kept in an available state in the self-adaptive frequency hopping mapping table; if not, updating the adaptive frequency hopping mapping table, and marking the current channel as an unavailable state; and synchronizing the updated adaptive frequency hopping mapping table to the slave device, so that the master device and the slave device are switched to the updated adaptive frequency hopping mapping table for communication according to preset time. The technical problems that the real-time performance is poor and the transmission efficiency is affected when the frequency hopping mapping table is generated in the Bluetooth transmission process are solved.

The invention relates to the technical field of electrocardiosignal analysis, and discloses an autonomic nerve function evaluation method based on a phase whole sequence signal averaging technology, and the method comprises the steps: selecting a plurality of deceleration anchor points and / or acceleration anchor points from a plurality of sequence values of a heart beat interval sequence of a first to-be-detected object; for each deceleration anchor point / acceleration anchor point, selecting a deceleration sequence segment / acceleration sequence segment corresponding to each deceleration anchor point / acceleration anchor point from the heart beat interval sequence of the first to-be-tested object; averaging values with the same sequence in the plurality of deceleration sequence segments / acceleration sequence segments to obtain a deceleration signal sequence / acceleration signal sequence of the first to-be-detected object; performing power spectral density analysis on the deceleration signal sequence / acceleration signal sequence of the first to-be-detected object to obtain a deceleration index / acceleration index of the first to-be-detected object; and evaluating the autonomic nerve function of the first to-be-tested object according to the deceleration index and / or the acceleration index of the first to-be-tested object. The autonomic nerve function can be evaluated more accurately.

The application discloses a face video blood oxygen saturation detection method and system based on deep learning, and relates to the technical field of computer vision; the method comprises the following steps: shooting a face video; acquiring frame-by-frame pictures of segmented face key regions in the face video; extracting iPPG signals of the face key regions through the frame-by-frame pictures of the face key regions, and equally dividing the iPPG signals of each face key region into multiple segments; training a CNN-BiLSTM-GRU blood oxygen saturation prediction model; inputting the segmented iPPG signals into the CNN-BiLSTM-GRU blood oxygen saturation prediction model respectively, and obtaining multiple preliminary blood oxygen saturation prediction values for each face key region; inputting the multiple preliminary blood oxygen saturation prediction values of each face key region into discriminators respectively, and obtaining final blood oxygen saturation prediction values through signal screening; and the method can effectively and reliably predict oxygen saturation values from the face video, and can meet the long-term detection of blood oxygen saturation values in daily life.

The invention relates to the technical field of signal processing, in particular to a signal-to-noise ratio estimation algorithm based on an auto-encoder, which comprises the following steps of: firstly, selecting four groups of parameter signals with different code element rates and roll-off factors, each group containing 16 mainstream modulation type sub-signals, segmenting the sub-signals, adding Gaussian white noise to construct a data set, and performing data processing on the data set; dividing into a training set and a verification set according to the ratio of 7: 3, and calculating a noise adding signal and a power spectrum of corresponding noise by adopting a Welch method; secondly, constructing a stacked full-connection auto-encoder, taking a training set noise adding signal power spectrum as input, taking a noise power spectrum as a target, and introducing L2 regularization suppression over-fitting according to set batchsize and epoch training; and finally, inputting a test set noise adding signal into the trained model to obtain the noise average power, and calculating the signal average power and the signal-to-noise ratio by combining the noise adding signal power spectrum. The method can cover multiple signal parameters and modulation scenes, the low signal-to-noise ratio interval precision is better, the process is clear, engineering landing is easy, and the method is suitable for a multi-standard communication system.

The present invention is applicable to the technical field of radio frequency front ends, and particularly to a radio frequency front-end module having input power protection, comprising a signal input end, a bias circuit, an amplifier, and a signal output end that are sequentially electrically connected, wherein the bias circuit comprises a coupling circuit, a rectifier circuit, a switching circuit, and a mirror current source circuit; the coupling circuit is used for isolating a direct-current signal inputted by the signal input end, and allowing a radio frequency signal to pass; the rectifier circuit is used for rectifying the radio frequency signal and outputting an envelope signal; the mirror current source circuit is controlled by the envelope signal and outputs a bias current to the amplifier. The bias circuit in a radio frequency power module of the present invention can measure power inputted to the amplifier, and on the basis of the measured average power of an input signal, actively reduce the bias current inputted to a power amplifier, thereby achieving the purpose of protecting the power amplifier.

An interferometer suitable for Distributed Acoustic Sensing (DAS) is has two interferometer arms of different length, from which light is fed to an N-way optical coupler (N at least 2). In DAS, the light is backscattered light received from within an optical fiber. Incoming light is amplified by an adjustable factor, which may vary as a function of time in DAS. The N way optical coupler supplies combinations of light from the arms with different relative phase offsets to each other to N outputs. Phase shift between interfering components is computed from the light intensities detected by detectors at the N outputs. Correction of the computed phase shift is applied dependent on the value of the adjustable amplification factor. For this, one interferometer arm comprises a phase modulator, which is used obtaining measured detector output signals from the detectors with different phase shifts by the phase modulator when the value of the adjustable factor is used. Data is determined that defines average of output signals of the different detectors under variation of different phase shift by the phase modulator based on the measured signals. For DAS, data defining time dependent averages according the variation of the factor are determined. A phase shift between interfering light is computed with a correction to compensate for differences between the average detector output signals for the individual optical detectors.

The present invention discloses a method for pulse signal screening and signal quality evaluation, comprising the following steps: S1, obtaining a nuclear pulse index signal and determining the time width of a single signal; S2, calculating the average value of the signal amplitude within a single time width; S3, calculating the variance of the signal amplitude within a single time width; S4, drawing a scatter plot of the average and variance of all signals, and fitting a quadratic function curve to the scatter plot; S5, implementing screening of abnormal signals and signal quality evaluation through the scatter plot distribution. The present invention screens signals by calculating the average and variance of a standard nuclear pulse signal within a single signal width, requiring fewer computational resources. The type of abnormal signal is determined by the relative position of the scatter points of the signal mean and variance and the quadratic function curve fitted to its scatter distribution. This determination method is simple and does not require a complex algorithm program.

This invention relates to an automatic gain control (AGC) circuit and an RF receiving circuit for IR-UWB communication, comprising: an adjustable gain amplifier for receiving a signal to be processed, and a first control unit, a second control unit, an AD sampling unit, a sampling threshold setting unit, a signal averaging unit, a first comparison unit, a first loop filter, a second comparison unit, and a second loop filter; the adjustable gain amplifier is connected to the second control unit; the AD sampling unit is connected to the adjustable gain amplifier and the sampling threshold setting unit; the signal averaging unit is connected to the AD sampling unit; the first comparison unit is connected to the signal averaging unit and the first loop filter; the first control unit is connected to the first loop filter and the sampling threshold setting unit; the second comparison unit is connected to the first loop filter and the second loop filter; and the second control unit is connected to the second loop filter. Implementing this invention can reduce circuit area and power consumption while ensuring the performance of the AGC circuit.

The application discloses a receiver disturbed state prediction method for homotype device adjacent frequency interference, and belongs to the technical field of electromagnetic compatibility, and comprises the following steps: based on an interference signal spectrum, signal average power of adjacent frequency interference signals with different frequency offsets coupled through a receiving channel is predicted; processing benefits of the adjacent frequency interference signals with different frequency offsets after passing through a receiver signal processing channel are predicted, and a relative relationship between the processing benefits and the frequency offsets is obtained; based on the signal average power and the relative relationship between the processing benefits and the frequency offsets, adjacent frequency interference signals are converted into response equivalent homochromatic interference signals through amplitude equivalence; and a disturbed state of the receiver is predicted based on a homochromatic interference signal sensitive threshold. Through the application, equivalent interference power of homochromatic signals response equivalent to the adjacent frequency interference signals can be calculated.

The application discloses a kind of oxygen sensor calibration method, device, equipment and medium, comprising: by air gas source or pure oxygen source to the airway of oxygen sensor to be calibrated is ventilated, and first electric signal average and third electric signal average are obtained, and second electric signal average and fourth electric signal average;Altitude is obtained by altitude sensor, and first oxygen concentration value and second oxygen concentration value are determined according to altitude;First group of calibration data and second group of calibration data are used to calculate preset response function, and target response function is obtained;Second electric signal average and fourth electric signal average are used to check target response function respectively, and first check result and second check result are obtained;When check result meets preset check condition respectively, it is determined that calibration is successful.The application eliminates the influence of altitude height rising on oxygen sensor calibration by increasing altitude sensor, and improves the accuracy of oxygen sensor calibration.

A method of controlling power supply for amplifying a radio frequency (RF) signal includes: determining whether a power supply mode for supplying power from a power modulator of a communication apparatus to an amplifier for amplifying the RF signal is an envelope tracking (ET) mode for supplying power based on ET of the RF signal; when the power supply mode is the ET mode, determining whether a downlink block error rate in the ET mode and a downlink modulation method in the ET mode satisfy a first condition; when the first condition is satisfied, determining whether a full resource block (RB) in an uplink band is allocated to uplink data transmission; and when the full RB in the uplink band is allocated to uplink data transmission, switching the power supply mode to an average power tracking (APT) mode for supplying power based on average power of the RF signal.

The devices, systems, and methods can overcome the impact of scan protocols on experimental measurements to reconstruct the CEST equilibrium effect and can therefore improve the quantification of the underlying CEST contrast mechanism. The methods may include determining a spinlock relaxation rate for each RF offset for at least the first signal average so that the normalized spectrum for each RF offset and each slice first signal average corresponds to at least each transient state associated with each saturated slice readout normalized by at least each control state associated with each control slice readout based on the spinlock relaxation rate. The method may further include reconstructing CEST equilibrium effect for each RF offset using the respective spinlock relaxation rate for the RF offset. The method may include determining one or more quantitative information using the CEST equilibrium effect.

The invention provides a detection method and system for non-invasively evaluating the degree and position of functional myocardial ischemia. The method comprises the following steps: acquiring 12-lead high-frequency electrocardiosignal data of a testee; preprocessing the signal, and extracting a QRS wave band signal; performing signal averaging on the qualified QRS wave bands according to leads to generate 12 average high-frequency QRS; extracting a feature combination reflecting the functional myocardial ischemia and having clinical physiological significance from the signals; mapping leads to the heart apex, the front wall, the dividing wall, the lower wall and the side wall and aggregating regional features; obtaining a region score through linear combination; monotonicity is calibrated as regional ischemia percentage by adopting isotonic regression; and outputting the total heart ischemia percentage and the ischemia position in an equal-weight average manner. The method is highly related to the SPECT / CT gold standard, the degree and position of functional myocardial ischemia can be noninvasively and accurately detected, the method is not limited by detection sites, a new method is provided for checking myocardial ischemia, and the incidence rate of malignant heart diseases is reduced.

A system for VT localization comprises an electrocardiograph (ECG) device for detecting electrical signals of a ventricular fibrillation event in a patient and producing ECG data, a localizer, and a display device. The localizer comprises a memory and a processor, the memory storing a model and one or more parameters of the model. The memory further stores instructions that when executed by the processor cause the processor to receive the ECG data, and generate a determination indicating whether a detected VT signal arose from an endocardial surface or epicardial surface based on signal averaged waveform for each of the leads. The display device is configured to output the determination, which can also be communicated to follow-on provider systems.

The invention discloses a denoising method for measured data of an eddy current angle sensor, which comprises the following steps of: carrying out differential processing on a signal output by the sensor to suppress common-mode noise, and dividing a rotation period into sectors according to fan blades; performing sector-level offset compensation and normalization compensation on the signal of the current large period based on the average value and extreme value of the signal of the sector corresponding to the previous large period so as to eliminate drift and gain difference; calculating a basic angle value of the current period by using the compensated signal; the method comprises the following steps of: calculating a difference value between angle values of sampling points corresponding to a previous large period and a previous large period, and performing Fourier analysis by taking a difference value sequence as a periodic function to obtain a direct current component and first four harmonic coefficients of the periodic function; and reconstructing a harmonic compensation value according to the coefficients, and superposing the harmonic compensation value to the basic angle value of the current period to obtain a final accurate angle value. According to the invention, periodic errors can be effectively compensated, and the measurement precision and the anti-interference capability of the eddy current angle sensor are significantly improved.

Method and system (1) for determining a respective geographical position (GP) of defects (RD) of a road surface (900), the system (1) comprising a first acquisition system (2) structured to acquire over time a signal (S) representative of a motion of a crown portion (30) of a tyre (3) of a vehicle (99), a second acquisition system (20) structured to acquire information representative of a plurality of geographical positions (Loc) of the vehicle (99) along a path, and a processing unit (8) programmed to receive the signal (S) and the information representative of the plurality of geographical positions (Loc) and to perform the following steps of the method: dividing the signal (S) into a set of signal portions (SP); for each signal portion (SP), calculating a respective value of a parameter (KPI) representative of an average power of the signal; comparing each respective value of the parameter (KPI) with a threshold value (TS); selecting each signal portion (SP) corresponding to a respective value of the parameter (KPI) greater than the threshold value (TS), to obtain a set of candidate signal portions (SP'); correlating each candidate signal portion (SP') to at least one respective geographical position (Loc) and determining a respective geographical position (GP) of a respective defect (RD) for each candidate signal portion (SP') as the at least one respective geographical position (Loc) correlated to the candidate signal portion (SP').

The invention discloses an independent power system large signal stability analysis method considering pulse load and energy storage access. The method comprises the steps that a diesel storage micro-grid model considering pulse load access is built; establishing a voltage and current relationship between a pulse load and a converter thereof, and an energy storage converter under an abc three-phase static coordinate system; establishing a state-space equation of a pulse load, a converter thereof and an energy storage converter in a dq two-phase rotating coordinate system, and deducing a system large-signal averaging model based on the state-space equation; based on a mixed potential energy function method, respectively analyzing large signal stability and asymptotic stability domains of the system in four different modes; and based on the fast and slow switching theory of the switching system, determining a large signal stability analysis strategy of the independent power system considering the pulse load and energy storage access under the pulse load switching. The method is simple in principle and easy to implement, and has important significance on large-signal stable operation of the alternating-current and direct-current hybrid system.

The present application belongs to the field of common-mode noise suppression, and specifically discloses a method and device for differentially suppressing low-frequency common-mode noise in a channel based on time-division multiplexing. The method includes: time-division multiplexing the test signal and the reference signal to the same channel to obtain a multiplexed signal; time-division multiplexing is a periodic time-sharing alternating output of the test signal and the reference signal; sampling the multiplexed signal and averaging the sampled data within each half cycle to obtain a set of first superimposed signal average values ​​and a set of second superimposed signal average values; interpolating the set of first superimposed signal average values ​​and the set of second superimposed signal average values ​​respectively to obtain a set of interpolated first superimposed signal average values ​​and a set of interpolated second superimposed signal average values; performing differential subtraction on the interpolated set of first superimposed signal average values ​​and the interpolated set of second superimposed signal average values ​​to obtain measurement data. Through the present application, low-frequency common-mode noise can be effectively suppressed.

The invention relates to the technical field of adaptive narrowband interference suppression, and discloses an adaptive narrowband interference suppression method and related equipment, and the method comprises the steps: carrying out the preprocessing of a received signal, obtaining a power related parameter of the signal, carrying out the first interference detection based on the power related parameter of the signal, and obtaining a first interference detection result; and performing second interference detection based on the first threshold value and the signal average power lower than the first threshold value to obtain a second interference detection result, and dynamically selecting one of the first threshold value and the second threshold value as a final threshold value in combination with the first interference detection result and the second interference detection result. And performing interference elimination through frequency domain notch based on the final threshold value. According to the invention, the technical problem of narrowband interference suppression which is adaptive to environment change and can give consideration to both anti-interference efficiency and signal fidelity is realized.