150 results about "Weighting coefficient" patented technology

The application relates to the technical field of power detection, and specifically discloses a power transmission cable partial discharge detection method and system based on multi-physical field optimization, which comprises the following steps: based on the multi-physical field prior parameter set of a power transmission cable, band-pass filtering an original mixed signal sequence to obtain a filtered signal sequence; performing discrete difference mapping on a discharge pulse characteristic waveform of the prior parameter set to obtain an adjacent point amplitude gradient and construct a fixed weight coefficient matrix; splitting the filtered signal sequence based on the waveform length to obtain even and odd subsequences; weighting and fusing the even subsequence according to the fixed weight coefficient matrix, combining the actual value of the odd subsequence to determine a predicted difference sequence; correcting the residual error of the even subsequence based on the predicted difference sequence to obtain a scale coefficient sequence; and finally performing attenuation compensation on the two types of sequences according to multi-band attenuation coefficients, and reconstructing a discharge pulse sequence after noise reduction through coefficient inversion; and the application can improve the detection accuracy of the power transmission cable partial discharge signal.

This invention discloses an inversion method for S-wave velocity structure based on dense micromotion observations, belonging to the field of geophysical exploration and engineering geological exploration technology. The method includes: acquiring micromotion data; performing segmented preprocessing and cross-correlation calculations; constructing a phase consistency metric function based on the instantaneous phase information of the cross-correlation function for each time period; generating adaptive weighting coefficients; and then constructing an empirical Green's function through weighted superposition. Subsequently, time-frequency analysis is performed to obtain a time-frequency energy map; preliminary extraction of candidate dispersion velocities for each frequency is performed, and their comprehensive confidence level is calculated; after verification, a reliable dispersion curve is obtained. Based on the dispersion curve, a model parameter vector is established, and a joint objective function is constructed. A differential evolution algorithm is used for parallel global optimization inversion to obtain a one-dimensional S-wave velocity structure model below each station pair. The one-dimensional models are interpolated and fused to generate a two-dimensional S-wave velocity structure profile. This invention has the advantages of high inversion stability, high computational efficiency, and a high degree of automation.

The application relates to the technical field of power distribution switch control equipment manufacturing, and discloses a cable partial discharge type identification method based on ResNet, which comprises the following steps: synchronously acquiring an original partial discharge data array corresponding to a cable insulation state and power frequency voltage phase information; constructing a phase weight coefficient by calculating discharge probabilities corresponding to each instantaneous phase point in the power frequency voltage phase information, so as to locate a phase-sensitive feature area in the original partial discharge data array; inputting the original partial discharge data array into an identification model with a residual architecture, and calling the phase weight coefficient to perform weighted correction processing on intermediate feature variables output by each level when residual convolution mapping is performed; and the application applies constraints on the residual mapping process by using a physical distribution law, effectively suppresses random interference decoupled from the phase, and improves the stability of cable defect identification under a complex electromagnetic environment.

This invention discloses a waveform design method for integrated communication and sensing based on a multi-objective particle swarm optimization algorithm, relating to radar detection technology and communication technology. The method includes: constructing a multi-objective optimization problem for waveform parameter design using the subcarrier weight coefficients of the OQAM-OFDM integrated communication and sensing waveform as optimization variables; using the maximization of the sum of the signal-to-noise ratios (SNRs) of all subcarrier communication outputs as the optimization criterion for waveform parameter design; using the maximization of the sum of the SNRs of all range resolution units' sensing outputs as the optimization criterion for waveform parameter design; solving the multi-objective optimization problem for waveform parameter design using the multi-objective particle swarm optimization algorithm to obtain several non-dominated solutions for the subcarrier weight coefficients that simultaneously maximize both the communication output SNR and the sensing output SNR; and forming a Pareto front from these non-dominated solutions. The waveform designed in this invention can effectively resist multipath interference without using cyclic prefixes and blank guard intervals, exhibiting high resource utilization efficiency and excellent sensing and communication performance.

This invention discloses a method and device for directional audio delivery for appreciating large-scale paintings, relating to the field of human-computer interaction technology. The method includes: collecting six-degree-of-freedom motion data of the viewer's head and constructing a global state matrix and an array coordinate matrix; based on the global state matrix, mapping and matching the gaze point with audio, calculating the coordinates of each viewer's gaze point on the large-scale painting, and matching the corresponding local audio narration data; constructing an acoustic evacuation topology map for the local audio narration data; generating a complex beamforming weighting coefficient matrix based on the acoustic evacuation topology map using an improved escape optimization algorithm; generating an audio signal vector, combining it with the complex beamforming weighting coefficient matrix to construct a dynamic sound field, and using a directional audio array to execute directional audio stream delivery. This invention solves the problems of severe multi-target acoustic crosstalk, the algorithm's susceptibility to local optima under high density, and the contradiction between computational complexity and real-time performance in existing technologies.

This invention discloses a fault diagnosis method for scraper conveyors, relating to the field of fault diagnosis technology for coal mine transportation equipment. The invention includes synchronously acquiring the drive motor current signal, drive sprocket vibration signal, and driven sprocket acoustic emission signal to construct a synchronous data stream; extracting the heavy-load starting current fluctuation range and extracting corresponding vibration and acoustic emission signal segments; performing phase-synchronized integer-cycle extraction and envelope demodulation analysis on the vibration signal based on the real-time rotation phase of the sprocket to generate a phase-synchronized vibration envelope demodulation spectrum; calculating the cumulative energy change rate of the acoustic emission signal and dynamically generating weighting coefficients to weight and enhance the vibration envelope demodulation spectrum to obtain an enhanced fault feature spectrum; matching this feature spectrum with a preset fault feature spectrum library to output the fault type and fault confidence level. This invention can accurately remove signal aliasing interference under heavy-load starting conditions, improve the purity and sensitivity of fault feature extraction, and significantly improve the accuracy of fault diagnosis.

A kind of distributed adaptive target tracking method with communication protection, comprising: after each observation node executes information filtering algorithm, adaptive weight coefficient is calculated according to tracking result, and information interaction is carried out using consistency algorithm with communication protection, and distributed target tracking is completed.The present application can obtain higher cooperative target tracking precision when the number of communication is less, and realizes the communication protection to target tracking result.

A method for determining a landing runway condition of an aircraft comprises the steps of: acquiring a set of different types of data groups (D1, D2) used to evaluate and monitor the runway deterioration condition; deriving a weighting coefficient (Ki) from each data group; filtering the data; determining a partial runway condition for each data group; modifying the weighting coefficient of each data group; and combining the partial runway conditions to derive a runway condition coefficient (RWYCC) associated with a confidence index (IC) derived from the modified weighting coefficients.

A three-dimensional space-based gear shifting position recognition method, system, and medium are disclosed, comprising: real-time acquisition of the spatial position coordinates of a gear shift lever, the spatial position coordinates including lateral coordinate components, longitudinal coordinate components, and depth coordinate components; calculation of at least a weighted spatial distance between the spatial position coordinates and a preset reference coordinate for a certain gear; wherein the depth dimension weighting coefficient is greater than the lateral dimension weighting coefficient and the longitudinal dimension weighting coefficient; comparison of the weighted spatial distance with a preset gear engagement recognition threshold for the corresponding gear; and determination that the gear shift lever is engaged when the weighted spatial distance is less than the gear engagement recognition threshold. This invention, by introducing three-dimensional spatial coordinate detection (lateral, longitudinal, and depth components), overcomes the limitations of traditional two-dimensional planar projection, significantly improving the recognition accuracy and operational reliability under high-density gear layouts.

This invention discloses a signal Doppler tolerance and sidelobe optimization method based on a weighted ambiguity function template. The method includes determining a discrete ambiguity function based on a two-dimensional ambiguity function of a continuous signal and a radar transmitted signal; obtaining matched filtering results for signals with different Doppler frequency shifts and determining the main lobe and sidelobe positions based on the Doppler frequency shift results; for the Doppler frequency shift case, establishing a cost function for Doppler tolerance optimization and a weighted cost function for joint optimization of Doppler tolerance and sidelobe based on the main lobe and sidelobe positions, respectively; setting the weight coefficients of the weighted cost function according to signal characteristic requirements to obtain the target cost function; and using simulation parameters for iterative updating to obtain the optimization result. This invention can improve signal Doppler tolerance while reducing signal sidelobes, significantly improving the practicality of random noise signals; and it allows for setting weight coefficients according to signal characteristic requirements to adjust the optimization ratio of signal Doppler tolerance and sidelobe, providing strong flexibility.

The application discloses a multi-sensor fusion positioning control method and device for cleaning unmanned aerial vehicles and a storage medium, relates to the technical field of unmanned aerial vehicle control, and comprises the following steps: acquiring laser radar data, visual image data and millimeter wave radar data of the same timestamp; determining weight coefficients of the laser radar data, the visual image data and the millimeter wave radar data according to the working states of the laser radar, the visual sensor and the millimeter wave radar and environmental data; based on the weight coefficients, first performing bottom-layer fusion on the laser radar data and the visual image data to obtain intermediate positioning data, and then performing middle-layer fusion on the intermediate positioning data and the millimeter wave radar data to obtain target positioning data; and adjusting the flight pose of the cleaning unmanned aerial vehicle and the control parameters of a cleaning module according to the target positioning data. The application can achieve the technical effects of stable flight and effective cleaning of the unmanned aerial vehicle when the unmanned aerial vehicle approaches a working surface.

The application discloses a single-epoch multi-frequency GNSS ambiguity precision factor refinement estimation method. The method comprises the following steps: weighting single-epoch multi-frequency pseudorange and carrier phase observation of a reference station and a rover station respectively; calculating a harmonic mean of the same satellite pseudorange observation weight and a harmonic mean of the carrier phase observation weight; calculating a weighted geometric mean of the multi-frequency carrier wavelength and a weighted geometric mean of the multi-frequency non-difference carrier phase observation standard deviation; constructing a baseline vector non-difference weighted coefficient matrix of the carrier and the pseudorange observation; and finally calculating a single-epoch multi-frequency GNSS ambiguity precision factor value according to the above parameters. The application can realize high-precision estimation when the same or different weighting models are adopted for the pseudorange and the carrier phase, and the estimation precision can reach 10 ‑6 weeks, which is about 99.98% higher than that of a traditional model, and provides a reliable prior success rate estimation for single-epoch multi-frequency GNSS rapid precise positioning.

A time difference estimation method of homologous local discharge ultrasonic signals, wherein two-channel homologous ultrasonic signals are collected; the order of a transverse adaptive filter and the number of a cross-correlator are set; the two-channel homologous signals are input into two transverse adaptive filters; the weight coefficients obtained by the two transverse adaptive filters are input into a k-stage cross-correlator; and the time difference between the homologous ultrasonic signals is obtained by peak extraction on the output of the cross-correlator. The method has the advantages of high time resolution, small time difference estimation deviation and good noise resistance, and has high application value in the field of local discharge positioning in power equipment (such as power transformers).

A channel measurement method and a communication apparatus are provided. The method includes: generating channel information, where the channel information indicates one or more receive beam vectors and one or more weighting coefficients, each of the one or more weighting coefficients corresponds to one receive beam vector, the one or more receive beam vectors and the one or more weighting coefficients corresponding to the one or more receive beam vectors are used to determine a channel of at least one frequency domain unit between a terminal device and a network device, the one or more receive beam vectors are selected from a receive beam vector set, and the receive beam vector set is determined based on a predefined base vector set; and sending the channel information.

This invention relates to the field of passive underwater target identification technology, and in particular to a propeller noise cyclic coherent demodulation method based on an improved real-number genetic algorithm. Based on cyclic stationarity analysis theory, an optimal coherent weighted quadratic envelope spectrum is constructed by replacing the fixed integration frequency band with a weighting function, and an adaptive detection threshold is constructed based on the false alarm probability. The observed spectrum is modeled as the sum of harmonics and noise, and a sparse non-negative optimization problem is solved to extract the harmonics. Using the total harmonic intensity of the envelope spectrum as the cost function, an improved real-number genetic algorithm is used to optimize and search for the optimal weighting coefficient vector. The demodulated spectrum is obtained by coherently weighting and integrating the normalized cyclic modulation spectrum. This invention achieves autonomous allocation of weighting coefficients and adaptive selection of demodulation frequency bands, effectively improving the signal-to-noise ratio gain of cyclic demodulation, and is applicable to passive target identification in data backtracking and review systems.

This application provides a method, apparatus, and storage medium for determining the selection weight of a beamforming channel. The method includes: determining a first weight coefficient or a second weight coefficient corresponding to a target beamforming channel based on the reference signal received power parameter in the beamforming channel and a beamforming channel selection weight determination model; the first weight coefficient is the weight coefficient of the target user equipment under the target beamforming channel, and the second weight coefficient is the weight coefficient of all paired user equipments under the target beamforming channel after multi-user pairing is completed; the reference signal received power parameter is the first reference signal received power corresponding to the target user equipment, or the sum of the reference signal received power corresponding to all paired user equipments; the beamforming channel selection weight determination model is an optimization model that optimizes the weight coefficients by taking maximizing the channel capacity of the MIMO channel as the optimization objective and using the Kuhn-Tak condition and the average allocation constraint as constraints.

The application relates to a digital multi-beam synthesis method, which calculates weighting coefficients in real time through an FPGA signal processing unit and delivers the weighting coefficients to a digital beam forming unit, so that the beam pointing direction is adjusted in real time, thereby solving the problem that the flexibility of the beam pointing direction is limited. Meanwhile, in the digital multi-beam forming process, the beam coherence synthesis, pointing direction, width and sidelobe level are controlled through a beam forming matrix, so that spatial filtering and interference suppression are realized, the flexibility of beam forming is improved, the anti-interference capability of the system is enhanced, and through real-time adjustment of the beam parameters, the system can better adapt to a complex electromagnetic environment and improve the anti-interference performance of the system. Through real-time calculation and delivery of the weighting coefficients by the FPGA signal processing unit, the digital beam forming unit performs beam forming in the digital domain, and the complexity and delay of signal processing can be effectively reduced.

This invention discloses a method, apparatus, terminal, and readable storage medium for single-channel de-reverberation of speech signals. The method includes: acquiring a single-channel time-domain signal and performing frame segmentation, windowing, and Fourier transform to obtain a single-channel frequency-domain signal; calculating late reverberation weighting coefficients using the single-channel frequency-domain signal of the previous D frames; estimating the posterior signal-to-noise ratio (SNR) and prior SNR based on the single-channel frequency-domain signal and the corresponding late reverberation weighting coefficients; calculating the probability of speech presence in the current frame using the enhanced speech signal of the previous frame and the frequency-domain signal of the previous frame; calculating gain control parameters using the gain control parameters of the previous frame and the probability of speech presence in the current frame; calculating the gain function based on the prior and posterior SNRs; ​​estimating the enhanced speech audio-domain signal using the gain control parameters, the gain function, and the single-channel frequency-domain signal; comparing the enhanced speech audio-domain signal with a set threshold and updating it according to the comparison result; performing an inverse Fourier transform to convert it to the time domain and outputting it.

The application relates to the technical field of near-infrared spectrum detection, in particular to a rapid tea quality detection method and system, which comprises the following steps: determining a first influence coefficient based on the average distribution of quality influence factors and the average distribution of spectral intensities of all wavelengths in the neighborhood of each spectral peak in each pretreated spectrum; determining a second influence coefficient based on the average distribution of quality influence factors of all wavelengths in the neighborhood of each spectral peak in each pretreated spectrum and the loss characteristic value, and combining the first influence coefficient to determine the weight coefficient of each pretreated spectrum; determining a target spectrum based on all pretreated spectra and the weight coefficients, and combining a tea quality scoring model to evaluate the quality of a tea sample to be detected. The application solves the problem of insufficient tea quality detection accuracy caused by spectrum quality differences, and improves the accuracy of tea quality detection by dynamically weighting and fusing the spectrum.

The specification provides a radar signal based polarization cancellation anti-interference method and system, and relates to the technical field of radar signal processing. The method comprises determining a main polarization channel and an auxiliary channel of a subarray antenna, the main polarization channel and the auxiliary channel being orthogonal to each other; acquiring input signals of the main polarization channel and the auxiliary channel; determining an interference signal weight coefficient of the auxiliary channel by calculating noise variance of the first matrix; and polarizing and canceling interference signals of the second matrix according to the first matrix and the interference signal weight coefficient of the auxiliary channel. The method can cancel interference signals in the main polarization channel to obtain low-interference or no-interference output signals, thereby improving the signal-to-noise ratio of the radar system and facilitating subsequent radar signal processing detection. Moreover, the polarization cancellation interference method is suitable for radar systems under a dual-polarization array antenna, and has the advantage of strong applicability.

This invention discloses a distributed adaptive frequency regulation method for isolated microgrids. The method is executed collaboratively by each distributed power generation unit. First, it monitors the system frequency and its own status in real time to determine frequency regulation needs, and dynamically activates or suspends its frequency regulation participation status through an event-triggered mechanism. The activated frequency regulation participating units calculate dynamic weighting coefficients based on the frequency deviation direction, combined with equipment type, power generation stability, reserve power utilization rate, and operating costs. Then, it exchanges information with neighboring units through a sparse communication network, runs an adaptive distributed consensus algorithm based on the dynamic weights, and generates frequency recovery and power allocation control signals. After integration, a reference frequency correction is obtained, and the traditional droop control is corrected in real time to adjust the unit output. This invention can achieve dynamic adaptive allocation of frequency regulation priorities, reduce communication burden, quickly restore system frequency, and improve the stability and economy of isolated microgrid operation.

This invention discloses a distributed processing and fusion method and system for electromagnetic signals in multi-source apertures, relating to the field of electromagnetic signal processing, and addressing the problems of pose deflection of detection nodes and low accuracy of multi-frequency signal fusion. First, a moving sensing node is controlled to construct an LC parallel resonant circuit to acquire multi-frequency analog data and simultaneously generate multi-frequency digital voltage characteristic parameters. Then, an inverse projection transformation is performed on the inductive components using a direction cosine space rotation matrix to correct attitude deviations and extract the set of absolute spatial magnetic field vectors in the global spatial coordinate system. Next, the circuit quality factor is extracted as a weighting coefficient to perform superposition fusion, generating a single synthetic target magnetic field vector. Finally, the synthetic vector is correlated with the displacement sequence to perform trajectory association and position reconstruction analysis, outputting a three-dimensional coordinate dataset of the target linear radiation source. This invention achieves high-precision attitude compensation and signal purification, improving the accuracy of target localization in complex and confined spaces.

The application relates to an indoor multi-radar fusion positioning method and a related device. The method comprises the following steps: acquiring radar target positions detected by multiple radar devices in a current frame; acquiring fusion state information of a human target in a previous frame to predict tracking prediction positions of each human target in the current frame through a Kalman filtering algorithm; for each human target, the tracking prediction position is matched with each radar target position respectively to determine at least one radar target position associated with the human target; the weight coefficient of each associated radar target position is determined to fuse the radar target positions associated with the same human target to obtain a fusion observation position of the human target in the current frame; the fusion observation position is taken as an observation value and input into the Kalman filtering algorithm for updating to determine the fusion positioning information of the human target in the current frame. The method can realize accurate positioning and stable tracking of the human target in an indoor environment in a multi-radar deployment scene.

The claimed technical solution relates generally to the field of computing, and more particularly to a device for assessing rhythmic brain activity parameters in real time on a stationary multi-channel electroencephalograph. The technical result consists in faster and more accurate real-time processing of an electroencephalogram (EEG) signal to assess rhythmic brain activity parameters. The claimed technical result is achieved by means of a device for assessing rhythmic brain activity parameters in real time on a stationary multi-channel electroencephalograph, said device comprising: a unit for initially setting and calibrating a brain parameter assessment algorithm, which is designed to be capable of calculating parameters of a rhythmic signal and noise signal model and adjusting the weighting coefficients of a spatial filter on the basis of a fragment of an EEG recording; and a digital multi-channel electroencephalograph containing: a unit for preamplifying and digitizing a calibrated EEG signal, which is designed to be capable of recording low-amplitude brain potentials and also preamplifying and digitizing same; and a signal microprocessor designed to be capable of assessing rhythmic brain activity parameters in real time.

This invention belongs to the field of wireless optical communication technology, specifically a sub-Poisson multi-user photon counting communication system and its design method based on the WMSE criterion. The invention includes constructing a multi-user, multi-input, single-output photon counting communication model and introducing a sub-Poisson photon counting reception mechanism; deriving the mean square error expression for each user under sub-Poisson conditions, introducing the reciprocal of the noise variance as a weighting coefficient, and constructing a noise-aware weighted MSE optimization objective; designing a multi-user precoding scheme using a continuous convex approximation method, and minimizing the system's weighted error and optimizing performance by updating the weighting coefficients in the outer layer and optimizing the precoding matrix in the inner layer. This invention can effectively suppress the impact of heteroscedastic noise on system performance under sub-Poisson noise conditions, significantly reduce the system's average bit error rate, and improve the transmission performance and noise immunity of the multi-user photon counting communication system; it can be applied to scenarios such as UAV networks, satellite-to-ground optical communication, and secure optical transmission.

This invention discloses a method for beam control of unconventional radar arrays. The method includes establishing a reference benchmark and initializing array parameters based on the unconventional radar array, determining core radar control parameters, determining radar beam control parameters, determining complex weighting coefficients for radar digital receiver multi-beam synthesis, and completing the radar array digital receiver multi-beam synthesis. This solution is applicable to unconventional phased array antennas with subarray-level random rotation and subarray-level random misalignment, and is compatible with beam control of conventional arrays. It has low computational complexity and introduces beam pointing accuracy error ≤0.01° and phase error ≤1° (Ku band and below), placing it at an industry-leading level. It is applicable to various phased array antenna architectures and has promising application prospects.

The application discloses a linearization calibration circuit and method applied to a pipeline ADC without a sampling and holding structure, and the circuit comprises a signal generation module, a pipeline ADC quantization module and a linear calibration module. The signal generation module is used for generating a pseudo-random signal, and the pseudo-random signal is converted into a dithering signal and then input into the pipeline ADC quantization module. The dithering signal comprises a first dithering signal and a second dithering signal. The pipeline ADC quantization module is used for superimposing the first dithering signal and the second dithering signal on an input signal respectively after the first dithering signal and the second dithering signal are processed through different paths, generating a to-be-calibrated signal, and quantizing the to-be-calibrated signal to obtain an output digital code. The linear calibration module is used for calibrating the to-be-calibrated signal based on a preset weight coefficient, the output digital code and the pseudo-random signal, and obtaining a calibrated signal. The application does not affect the main function of the circuit during calibration, is suitable for the pipeline ADC without the sampling and holding structure, can be operated in the background, has low circuit complexity, and has important significance for improving the linearity of the ADC applied to various communication systems.

The application discloses a kind of high-resolution ultra-wide imaging method and system based on intra-pulse multi-beam, wherein the method comprises: each sub-pulse echo signal is filtered to obtain each sub-mapping band echo signal;Each sub-mapping band echo signal is processed to obtain the output signal of each receiving channel;According to the time-varying weighting coefficient of each receiving channel and the output signal of each receiving channel, the signal after DBF processing of each receiving channel is obtained;Each receiving channel DBF processed signal is processed to obtain each sub-mapping band signal;Each sub-mapping band signal is two-dimensionally focused to obtain the SAR image of each sub-mapping band region;The SAR image of each sub-mapping band region is spliced in range direction, and high-resolution ultra-wide SAR image is obtained.The application effectively solves the problem that traditional spaceborne SAR system is difficult to realize high-resolution and ultra-wide imaging simultaneously.

This invention discloses a hotel emergency rescue method and system based on multimodal data fusion analysis and judgment, relating to the field of general control systems or methods. The method includes the following steps: generating voice feature vectors and heart rate feature vectors from voice and heart rate signals collected from the target room and adjacent rooms; constructing a multi-level adjacent room network based on topological relationship data to generate topological feature vectors; fusing the three feature vectors, analyzing the synchronicity and spatial distribution characteristics of signal mutations between the target room and adjacent rooms; when the correlation assessment result of the signal mutation is an isolated event, adjusting the weight coefficients of the fused feature vectors and inputting them into a pre-spatiotemporal fusion network model to determine whether the target room is in an emergency situation. This invention, based on multimodal collaborative perception, dynamically adjusts the weight coefficients of the fused feature vectors through the analysis of signal mutations and inputs them into a spatiotemporal fusion network for decision-making, significantly improving the accuracy and reliability of emergency situation identification.

The invention relates to an audio effect selection device (210) for processing an audio signal, comprising: - a memory (212) arranged to store datasets, each associated with a respective audio ambience, each dataset comprising a vector of reference values, each corresponding to a respective audio component, a vector of weighting coefficients, each corresponding to a respective audio component, and audio effects; and - a calculator (214) arranged to receive a vector of values ​​associated with an audio file, each value corresponding to a respective audio component, to calculate a respective distance between said audio file and each audio ambience, and to select, as audio effects to be applied to an audio signal from said audio file, the audio effects from the dataset associated with the audio ambience for which the distance is the smallest. [Fig. 2]