85 results about "Virtual source" patented technology

The invention discloses an audio data processing method and device, a storage medium and electronic equipment. The method comprises the steps that to-be-processed audio and at least one track point are acquired, initial audio data are generated based on the to-be-processed audio and the track point, loudspeaker gain corresponding to a target virtual loudspeaker is determined based on the initial audio data, and position information of the track point is used for determining a virtual source position in a virtual playing scene. Virtual loudspeakers are deployed in the virtual playing scene, the target virtual loudspeaker is at least one of the virtual loudspeakers, the target virtual loudspeaker represents the virtual loudspeaker determined based on the virtual source position, and the loudspeaker gain is used for simulating playing of the to-be-processed audio at the virtual source position; and performing sound mixing processing on the audio to be processed and the media information indicated by the source media information identifier based on the loudspeaker gain to generate target audio data. The technical problem that the playing effect of the audio data is poor is solved.

The invention discloses a spatial projection regularization method for sound source localization and sound field reconstruction and a related device, and belongs to the technical field of sound source localization. Specifically, according to the method, an equivalent source method model is utilized, and an external radiation sound field of a sound source to be measured is simulated through a series of virtual sources. Then, according to the first sound pressure transfer matrix from the virtual source arrangement surface to the holographic measuring point plane and the sound pressure of the holographic measuring point, a space projection regularization algorithm is used for solving the inverse problem, and therefore the equivalent source intensity is obtained; and then, reconstructing an external radiation sound field of the sound source to be detected by using the second sound pressure transfer matrix and the equivalent source intensity. And finally, by taking the maximum sound pressure amplitude as a standard, screening field points in an external radiation sound field so as to determine the position of the sound source to be detected. According to the space projection regularization algorithm, truncation processing of the vector space is carried out with the projection size of the measurement information in the vector space as the criterion, real information is reserved, and noise interference is restrained to the maximum extent.

The invention belongs to the technical field of nuclear material retention volume analysis, and particularly relates to a retention volume acquisition method and device based on Monte Carlo simulation. The method comprises the following steps: according to Monte Carlo calculation requirements, obtaining physical geometric models of a to-be-detected process system and a detector, and completing material modeling; obtaining radiation parameters of retentate in the to-be-tested process system, and establishing a virtual source on the physical geometric model; on the basis of the physical geometric model, Monte Carlo simulation is adopted, and the response coefficient of the detector of the unit mass retentate at the target measurement position is obtained; and obtaining the retention volume of the target measurement position according to the neutron fluence measured by a detector and the response coefficient. The neutron detection efficiency calibration test and the correction analysis process are simplified, the reliability of the retention volume analysis result is improved, and important data are provided for nuclear material closing balance.

A method for rendering an audio source using a plurality of virtual sources is provided. The plurality of virtual sources includes a first virtual source. The method comprises obtaining a target distance gain value that was derived using a target distance gain function for the audio source and a reference distance value indicating a distance between a listening position and a reference point for the audio source. The method further comprises deriving a first distance gain correction value for at least the first virtual source using the target distance gain value. The method further comprises rendering the audio source using the derived first distance gain correction value and a signal for the first virtual source.

The invention relates to a deep-sea shadow region target rapid orientation estimation method, which comprises the following steps: firstly, performing orientation estimation on a target signal received by a large-aperture horizontal line array by using conventional beam forming, and assuming that a sound source distance is estimated by an existing signal processing method; secondly, on the basis of the virtual source theory, the arrival pitch angles of four primary seabed reflection sound ray paths in the shadow area are calculated; based on the representation relation among the sound ray arrival pitch angle, the target physical orientation and the orientation estimation value, the target orientation estimation result is corrected, then the real orientation of the target is obtained, and the direction finding precision of the deep-sea shadow region target is improved.

The invention provides a medical linear accelerator virtual source model optimization method which is characterized by comprising the following steps: constructing a virtual source model and inputting initial configuration parameters; obtaining simulated dose distribution data of a typical irradiation regular field based on the model; vertically irradiating on the standard water model through a medical linear accelerator to obtain corresponding measurement dose distribution data; performing priority evaluation and sorting on part of parameters of the virtual source model, and performing iterative adjustment according to the priority until the simulation and measurement dose distribution difference is within a preset range; and inputting the parameters after iteration is completed into the virtual source model to obtain an optimized model. According to the method, full-process automatic optimization of the virtual source model can be achieved, manual intervention is remarkably reduced, the labor cost is saved, the modeling precision and efficiency are greatly improved, and the method is suitable for an efficient and high-precision source modeling process under a complex structure.

The invention relates to a biological tissue full-waveform inversion ultrasonic tomography method which comprises the following steps: placing ultrasonic transducers in a pure water medium with known sound velocity, and recording ultrasonic signal data of each transducer array element; setting a virtual source array in each transducer array element, constructing an optimization problem of sound source directivity and receiver response, and performing iterative optimization to obtain a final response coefficient and a virtual source signal of each transducer array element; the method comprises the following steps: fixing a biological tissue to be detected in an ultrasonic transducer, and collecting experimental observation signals received by each transducer array element; setting a sound velocity model to carry out forward simulation, taking the obtained virtual source signal as a sound source output, interacting with the sound velocity model, and multiplying by a response coefficient to obtain a forward simulation signal; and performing iterative updating on the sound velocity model according to the experimental observation signal and the forward simulation signal to obtain an ultrasonic tomography result. Compared with the prior art, the method has good flexibility and anti-noise capability, and the quality of the reconstructed image is remarkably improved.

The present invention discloses a Taylor weighting method for a continuous surface source, which mainly solves the problem that when the existing Taylor weighting method is used for a continuous surface source and a conformal array antenna, the curvature causes the sidelobe level of the radiation pattern to fail to reach the expected value. The present invention equivalentizes the surface source to a three-dimensional virtual source, constructs a Taylor radiation pattern by using the spatial factor of the virtual source; then combines the least squares method to establish a correlation model between the Taylor radiation pattern and the excitation distributions of the surface source and the conformal array antenna, so as to obtain the excitation distributions of the surface source and the conformal array antenna. The present invention can effectively realize the low sidelobe synthesis of the continuous surface source and the conformal array antenna, and improve the radar anti-jamming performance. The simulation results show that the Taylor radiation pattern of the embodiment of the present invention can achieve the expected low sidelobe beam.

This invention specifically relates to a message transmission method and storage medium that integrates reactive routing and DTN. The method includes: when a source node transmits a message to a destination node: first, it broadcasts a routing request message in the network using the reactive MANET routing protocol mechanism; upon receiving a routing response message, it transmits the message to the source node; upon receiving a routing error message, it uses the DTN mechanism to allocate a copy of the message to a relay node at the topology boundary of the source node, making it a virtual source node; if message transmission fails, it stores a copy of the message at the relay node where the communication link is interrupted, making it a virtual source node; the virtual source node broadcasts routing solicitation information to its neighboring nodes, and repeats the above steps when an opportunity to establish a connection with the destination node is found. This invention can improve the reliability of message transmission through the DTN routing mechanism and fully explore the connectable subtopologies in the MANET network.

The application relates to a deep-sea shadow zone target distance and azimuth fast high-precision estimation method. First, a large-aperture horizontal array is divided into two sub-arrays with a certain horizontal interval, and target azimuth estimation is performed on array receiving signals of the two sub-arrays; second, based on target azimuth estimation results of the two sub-arrays and geometric relation with the target, the sound line propagation distance of the target is estimated, and the sound line propagation distance is converted into the horizontal distance between the target and the receiving array through a virtual source model; finally, the horizontal distance obtained is utilized to correct the horizontal array system direction-finding error in combination with geometric knowledge. Compared with a traditional two-station direction-finding cross positioning method, the positioning precision of the method is higher. The basic principle and implementation scheme of the method are verified through computer numerical simulation, and the result shows that in a typical deep-sea environment, the method can effectively estimate the distance and azimuth of a near-sea surface target.

This invention provides a proton imaging method and imaging device, applicable to the fields of proton imaging technology and signal processing technology, particularly in the field of particle radiation imaging technology. The method includes: determining a virtual source position based on an initial two-dimensional dose distribution of a proton beam acquired without an imaging object; obtaining multiple sub-beam propagation paths from the virtual source position to the multiple predetermined sub-beam center positions based on the virtual source position and multiple predetermined sub-beam center positions on a predetermined plane; obtaining sub-beam data pairs corresponding to the sub-beam propagation paths and the two-dimensional dose distribution based on the two-dimensional dose distribution and the lateral distribution components determined along the sub-beam propagation paths; obtaining multiple water equivalent path lengths corresponding to at least one projection angle through an iterative algorithm based on the multiple sub-beam data pairs corresponding to at least one projection angle; and performing image reconstruction based on the multiple water equivalent path lengths corresponding to at least one projection angle to obtain a target image of the imaging object.

Described herein is a method of processing audio content for rendering in a three-dimensional audio scene, wherein the audio content comprises a sound source at a source position, the method comprising: obtaining a voxelized representation of the three-dimensional audio scene, wherein the voxelized representation indicates volume elements in which sound can propagate and volume elements by which sound is occluded; generating a two-dimensional projection map for the audio scene based on the voxelized representation by applying a projection operation to the voxelized representation that projects onto a horizontal plane; and determining parameters indicating a virtual source position of a virtual sound source based on the source position, a listener position, and the projection map, to simulate, by rendering a virtual source signal from the virtual source position, an impact of acoustic diffraction by the three-dimensional audio scene on a source signal of the sound source at the source position. Described are moreover a corresponding apparatus as well as corresponding computer program products.

The application discloses a multi-sound source direction-finding positioning method based on a vector microphone in a strong reverberation environment, which comprises the following steps: converting mixed voice signals collected by the vector microphone from a waveform domain to a time-frequency domain to obtain a spectrogram of an observation signal; removing virtual source single time-frequency points by using a frequency smoothing method and iteratively generating low-reverberation self-term source time-frequency point sets; constructing a steering vector dictionary; finding a steering vector most likely to appear in any time-frequency point in the self-term source time-frequency point sets from the steering vector dictionary, and then calculating the STFT coefficient value of the video point corresponding to the source according to the steering vector, determining whether the time-frequency point is a single source time-frequency point not interfered by reverberation according to the STFT coefficient value, and generating a single source time-frequency point set not interfered by reverberation; estimating the number of sources by using a smoothing histogram method; and obtaining multi-source direction-finding results by using MUSIC. The application can accurately extract single source time-frequency points not interfered by reverberation in the time-frequency domain, and then realize accurate multi-source positioning.

The present invention discloses a joint detection method based on seismic reflection and vehicle noise. The present invention obtains active and passive seismic records in a study area through measurement. Based on the seismic interferometry method, the passive seismic records are subjected to mutual interference processing, offset stacking, and normalization processing to obtain virtual source shot gather records. The causal and non-causal parts of the virtual source shot gather records are screened based on a two-way virtual source shot gather record signal-to-noise ratio screening method to obtain high-signal-to-noise ratio passive surface wave records in the study area. Dispersion analysis is performed on the active and passive surface wave records, and the high-frequency dispersion curve extracted from the active source record is integrated with the low-frequency dispersion curve extracted from the passive source to obtain a broadband dispersion curve. The present invention combines active and passive surface wave analysis, utilizing surface wave information in seismic reflection waves and traffic noise to effectively acquire shallow surface structural features, laying the foundation for joint imaging of shallow surface velocity structures in thick coverage areas.

The invention discloses a multilayer medium ultrasonic super-resolution imaging method based on virtual source excitation, and belongs to the technical field of ultrasonic nondestructive testing. The method comprises the following steps: 1, selecting an ultrasonic linear array probe; 2, virtual source excitation parameters are determined; 3, delay excitation time of the ith array element in the virtual source excitation group is calculated; 4, placing a phased array probe on the surface of the composite structure test piece, and receiving an echo signal by utilizing ultrasonic phased array excitation receiving equipment; step 5, performing one-dimensional Fourier transform on the collected echo signals along a time axis, and then performing singular value decomposition; step 6, calculating a Green function between the target imaging point and the position of the receiving array element; and step 7, calculating the pixel value of the target imaging point based on the step 6, and realizing the multi-layer medium ultrasonic super-resolution imaging based on virtual source excitation. The ultrasonic super-resolution imaging method aims at overcoming the defects of an existing ultrasonic super-resolution imaging method for the internal defects of the multi-layer medium.

This invention relates to the field of micro-motion surface wave exploration methods, and discloses an automatic extraction method for dispersion curves of micro-motion surface waves based on connected component analysis. The method includes cross-correlation extraction of virtual source surface wave shot gathers, frequency-wavenumber domain amplitude spectrum calculation, adaptive threshold binarization, connected component analysis, frequency-wavenumber domain surface wave mask generation, mask-amplitude matrix element multiplication, phase velocity picking, Hampel filtering, and automatic generation of dispersion curves. This invention utilizes image connected component analysis and other operations to process the amplitude spectrum of micro-motion surface waves, separating the surface wave signal region from the frequency-wavenumber domain amplitude spectrum image. It automatically identifies discrete phase velocity points from images containing only surface wave dispersion energy stripes and uses Hampel filtering to remove distortion points, ultimately achieving high-precision automated measurement of the dispersion curve.

In order to solve the problem of low prediction precision in the existing underwater acoustic prediction model, the invention provides the method for constructing the underwater acoustic prediction model of the steel ball, firstly, a time domain signal of underwater entry of the steel ball is collected through a near-field virtual source method and a reverberation method, and through EMD denoising processing, the time domain signal of underwater entry of the steel ball is obtained; and respectively calculating sound power levels and drawing power spectrums, then carrying out filtering fusion to obtain the whole section of radiation sound power when the steel ball enters water, simultaneously extracting an initial impact sound power level, and obtaining bubble pulsation sound power through a difference value. And repeating the multi-working-condition experiment, drawing the change rule of the sound power level along with the particle size and the water falling height, further constructing a three-layer perceptron neural network model, performing training by combining a mean square error loss function, a Dropout strategy and 5-fold cross validation, and finally obtaining a model capable of accurately predicting the water entering acoustic characteristics of the steel ball. The method is suitable for hydroacoustics research and other technical fields.

The invention discloses a three-dimensional acoustic elasticity calculation method based on combined potential, and relates to the field of ship three-dimensional acoustic elasticity calculation, and the method comprises the steps: constructing a speed potential in an outer watershed of an underwater ship structure into a linear combination form of a single-layer potential and a double-layer potential, and constructing a boundary integral equation on a wet surface of the underwater ship structure; according to fluid-solid coupling boundary conditions on the wet surface of the underwater ship structure, a boundary integral equation on the wet surface of the underwater ship structure is solved by adopting a boundary element method, and virtual source intensity distribution on the wet surface of the underwater ship structure is obtained; according to the virtual source intensity distribution of the wet surface of the underwater ship structure and the dry modal displacement of the structure, acoustic elasticity response parameters are obtained through calculation. By constructing the watershed speed potential outside the underwater ship structure in a linear combination form of single-layer potential and double-layer potential, the irregular frequency of acoustic elasticity calculation is effectively eliminated under the condition that the calculation scale and modeling workload are not additionally increased, and the efficiency of three-dimensional acoustic elasticity analysis can be remarkably improved.

A computer implemented system for rendering captured audio soundfields to a listener comprises apparatus to deliver the audio soundfields to the listener. The delivery apparatus delivers the audio soundfields to the listener with first and second audio elements perceived by the listener as emanating from first and second virtual source locations, respectively, and with the first audio element and / or the second audio element delivered to the listener from a third virtual source location. The first virtual source location and the second virtual source location are perceived by the listener as being located to the front of the listener, and the third virtual source location is located to the rear or the side of the listener.

The present disclosure relates to ultrasound-based strategies and techniques that are specially designed for time-resolved simultaneous cardiac tissue visualization and intracardiac flow instability mapping. First, to achieve high-resolution tissues images while also acquiring flow data, we devised an acquisition scheme which consists of two batches. The first batch is dedicated to tissue imaging, where we transmit a series of diverging waves emitted from different virtual source locations. These pulses have a single pulse-cycle to optimize axial resolution and are coherently compounded for improving lateral resolution. This paradigm generates tissue images with an improved resolution, allowing for real-time guidance at frame rates up to 50 fps. The second batch is dedicated for flow imaging where all diverging waves are transmitted from the same virtual source location. These flow pulses have a 5-cycle pulse length for improved flow signal. The length of this batch can be adjusted, but our experiments use a length of 64. The final transmission scheme alternates between the tissue batch and flow batch.

The invention provides a method for positioning a ship vibration noise source in a ship pool, and the method comprises the steps: constructing a double-layer envelope surface sound pressure measurement array in the ship pool, and building a ship radiation and pool wall reflection sound field model; establishing a sound field analysis model for inward and outward radiation of a semi-free space cylindrical surface, and constructing a semi-space double-cylindrical surface sound pressure-sound pressure transfer matrix; according to the amplitude and phase of sound pressure measured by double envelope surfaces, ship radiation and reflection sound in a ship pool is separated, and ship vibration noise source positioning in an open half-space water area is realized based on the ship radiation sound in the ship pool and based on a three-dimensional noise source positioning method formed by half-space virtual source wave beams. According to the half-space virtual source beam forming method, the actual acoustic propagation condition and the boundary effect of the ocean can be fully considered, and the spatial distribution and radiation characteristics of a ship noise source in a free sea area are directly obtained through mathematical mapping of a ship pool measurement field and an open water area target field.

The present invention relates to a method for predicting TBM tunneling parameters based on passive source seismic wave signals. Geophones are arranged to collect the passive source seismic wave signals propagated through the surrounding rock, and the geophones are rearranged to collect the passive source seismic wave signals after the TBM advances a specified distance each time; the collected passive source seismic wave signals are converted into virtual source seismic records, the time-domain seismic records are converted into distance-domain seismic records, and the reflected wave signals are extracted; the instantaneous characteristic parameters of the reflected wave signals are extracted, and combined with the historical tunneling parameters of the TBM, an input vector matrix corresponding to the same type of tunneling parameters in the unexcavated area of the TBM is jointly constructed; a hybrid neural network model based on CNN and Autoformer is constructed and trained to determine the optimal hybrid neural network model; the instantaneous characteristic parameters of the real-time collected seismic wave signals and the historical tunneling parameters of the TBM are used as the inputs of the network model at the same time to predict the optimal tunneling parameters at a specified distance in front of the TBM tunneling face. It can accurately predict the TBM tunneling parameters in the long-distance unexcavated area of the tunnel without affecting the normal construction of the TBM, and has a natural matching for TBM parameter prediction.

This invention belongs to the field of environmental noise seismic exploration, specifically relating to an automatic selection method for virtual source records suitable for environmental noise seismic exploration. The method includes: Step 1, preprocessing the original environmental noise seismic data to obtain preprocessed environmental noise seismic data; Step 2, reconstructing virtual source seismic records for different time periods at each receiving point using the preprocessed environmental noise seismic data; Step 3, performing linear scan stacking calculations on the positive and negative time semi-axis of each virtual source seismic record to obtain scan stacking amplitude curves based on different linear velocities; comparing and analyzing the maximum amplitude values ​​of the scan stacking amplitude curves of the virtual source seismic records based on the positive and negative time semi-axis to automatically select virtual source seismic records; Step 4, repeating Step 3 to achieve automatic selection of virtual source seismic records for different time periods at each receiving point. This invention can achieve automatic screening of high-quality virtual source seismic records rich in surface wave information.

The invention relates to a TBM (Tunnel Boring Machine) tunneling parameter prediction method based on a passive source seismic wave signal, which comprises the following steps of: arranging a detector to collect a passive source seismic wave signal propagated through surrounding rock, and rearranging the detector to collect the passive source seismic wave signal after the TBM is tunneled for a specified distance every time; converting the collected passive source seismic wave signal into a virtual source seismic record, converting a time domain seismic record into a distance domain seismic record, and extracting a reflected wave signal; extracting instantaneous characteristic parameters of the reflected wave signals, and jointly constructing an input vector matrix corresponding to similar tunneling parameters of an unexcavated area of the TBM in combination with historical tunneling parameters of the TBM; constructing a hybrid neural network model based on CNN and Autoformer, and training to determine an optimal hybrid neural network model; and taking the extracted instantaneous characteristic parameters of the seismic wave signals collected in real time and the historical tunneling parameters of the TBM as the input of the network model at the same time, and predicting the optimal tunneling parameters of the specified distance in front of the tunneling face of the TBM. Accurate prediction of the TBM tunneling parameters of the long-distance to-be-excavated area of the tunnel is achieved, normal construction of the TBM is not affected, and natural matching is achieved for TBM parameter prediction.

This invention provides a method and apparatus for separating diffracted waves in shot-gathered seismic data, relating to the technical field of seismic exploration. The method includes: acquiring two-dimensional single-shot seismic data for a specified geographical area; processing the two-dimensional single-shot seismic data using a plane wave method to obtain the spatial coordinates of the virtual source point; determining the seismic data in the virtual source space and the target reflection wave extraction function based on the two-dimensional single-shot seismic data and the spatial coordinates of the virtual source point; the target reflection wave extraction function is a continuous function; determining the target reflection wave field data based on the spatial coordinates of the virtual source point, the seismic data in the virtual source space, and the target reflection wave extraction function; and removing the target reflection wave field data from the two-dimensional single-shot seismic data to obtain the diffracted wave field data. The application of the target reflection wave extraction function effectively avoids the loss of diffracted waves and the residue of reflected waves during the separation process, thus effectively alleviating the technical problem of poor diffracted wave separation effect in existing diffracted wave separation methods.

The present invention relates to a frequency-domain bone ultrasound imaging method based on virtual source synthetic aperture. The method comprises the following steps: S1, transmitting ultrasonic signals to the bone N times and collecting echo signals; S2, extracting the time delay of the echo signals at the upper and lower interfaces of the bone; S3, establishing a sound velocity model; S4, obtaining the echo frequency-domain wavefield and the transmission frequency-domain wavefield; S5, sequentially processing the echo signals collected from the N transmissions to obtain subframe images for each transmission; and S6, superimposing multiple subframe images to obtain a final bone image. Compared with existing technologies, the present invention has the advantages of improving the clarity of the image of the lower surface of the intermediate bone while correcting phase distortion caused by the sound velocity of soft tissue and bone.

An LED luminaire comprising an LED array of LED elements and an optical element. The optical element comprises one or more partially reflective or partially transmissive elements positioned normal to the plane of the LED array. In this way, the partially reflective elements create virtual sources or virtual LED elements by reflecting a portion of the light emitted by the LED elements, while allowing the original or "real" LED elements to remain visible by partially transmitting the light.

The application particularly relates to a message transmission method combining a priori routing and a DTN and a storage medium. The method comprises the following steps: establishing and maintaining a routing table in each node of the network based on a priori MANET routing protocol mechanism; when a message source node transmits a message to a message destination node: firstly, the message is transmitted by using the priori MANET routing mechanism; otherwise, a message copy distribution algorithm based on location information is used, and a DTN mechanism is used to distribute the message copy to a relay node at the topological boundary of the message source node end, so that the relay node becomes a virtual source node; if the message transmission is unsuccessful, the message copy is stored in the relay node at the interruption, so that the relay node becomes a virtual source node; the virtual source node broadcasts routing query information to its neighbor nodes, and the routing table of the neighbor nodes is inquired; when an opportunity to establish a connection with the message destination node is found, the above steps are repeated. The application can improve the reliability of message transmission by using the DTN routing mechanism, and can fully explore the connectable sub-topology in the MANET network.

The invention discloses a cylindrical lithium battery internal temperature field real-time estimation method and system, and the method comprises the steps: building a temperature space distribution model based on a heat conduction equation, normalizing the space-time quantity through scaling transformation, and converting a non-homogeneous boundary condition into a homogeneous boundary condition through variable replacement; decoupling a space-time relationship between the temperature distribution quantity and a heat production item by adopting a double decomposition technology, and regarding a heat production time variable as a virtual source; and establishing a finite-dimensional ordinary differential equation model by using a Galerkin method. Designing a self-adaptive observer, and estimating a low-order state variable and a virtual source time sequence on line by combining a self-adaptive learning algorithm so as to measure and estimate a temperature error driving update rate; and reconstructing a temperature distribution quantity and a virtual source estimation value through space-time synthesis of the estimation sequence and a preset space basis function. Real-time estimation of the internal temperature field and the heat production amount of the cylindrical lithium battery can be effectively realized by means of a small number of thermocouples only through temperature measurement data without voltage and current sensors.

The invention discloses an interference resource scheduling decision-making method based on ray tracing. The method comprises the following steps: step 1, constructing a ray tracing radio wave propagation calculation model based on a virtual source tree; and 2, an interference resource scheduling decision method. According to the method disclosed by the invention, the electromagnetic shielding instrument can be remotely controlled to send the specified signal waveform, the method is suitable for major security electromagnetic management and control working scenes, and different instructions can be effectively and quickly generated according to actual target points, so that signals with different intensities and frequencies are sent out, and a fixed-point accurate interference suppression effect is achieved; and help is provided for subsequent realization of man-machine automatic interaction.