11results about How to "Reduce correlation" patented technology

This application belongs to the field of underwater acoustic array signal processing technology. This application provides a tensor-enhanced azimuth estimation method suitable for high-order acoustic field sensor arrays. The embodiments of this disclosure first construct a received tensor from the received data of the high-order acoustic field sensor array; then, multilinear low-rank modeling is performed on the received tensor, and the optimal first subspace factor matrix in the array dimension and the optimal second subspace factor matrix in the channel dimension are extracted using the HOOI method; next, the received tensor and the angle domain dictionary are synchronously projected into a low-dimensional tensor quantum space; finally, the sparse power spectrum in the angle domain is estimated using a multi-shot sparse Bayesian learning model, thereby obtaining the target azimuth. This method can suppress noise components in each dimension while preserving multidimensional coupling relationships, reducing the data dimensionality of subsequent sparse processing, reducing the influence of dictionary correlation and noise, and obtaining a sharper azimuth spectrum and higher resolution under conditions of low signal-to-noise ratio, low snapshot, and adjacent targets.

This invention discloses an optical disc and an optical disc device. The optical disc includes a groove bottom channel and a groove top channel formed by spiral grooves. Both the groove bottom channel and the groove top channel have a plurality of recording blocks capable of recording data. Each recording block contains a predetermined number of frames, and each frame has a frame synchronization field of length T at a predetermined position. In adjacent groove bottom channels and groove top channels along the radial direction of the optical disc, the recording block in the groove bottom channel is the first recording block, and the recording block in the groove top channel is the second recording block. The first recording block and the second recording block are offset from each other by an angular offset length along the circumference of the optical disc. The optical disc disclosed in this invention has the advantages of a small reading signal amplitude during optical disc reading, thus eliminating the need for a large dynamic range and very high SNR performance in the reading signal processing circuit, thereby simplifying the implementation of the reading signal processing circuit.

The invention provides a multi-round dialogue intention classification method and device, and the method comprises the steps: defining and extracting a single-valued slot which is a core keyword contained in an FAQ intention; constructing intention clusters based on the single-valued slots, wherein the intention clusters of the same entity type and the intention clusters of the same single-valued slots are constructed; a single-valued slot inheriting slot mechanism is introduced into multiple rounds of dialogues, and different dynamic score adding strategies are performed on the intention clusters of the same entity type and the intention clusters with the same single-valued slot based on the recognition result that the hit intention has the single-valued slot; and performing intention classification again according to the intention score after score addition. The intention recognition accuracy and effectiveness can be improved.

The invention relates to the technical field of audio signal processing, and provides an echo cancellation method and device, audio equipment and a storage medium, and the method comprises the steps: obtaining beam signals corresponding to different angles in a target angle range; selecting a first candidate beam signal from the beam signals, wherein the correlation between the first candidate beam signal and an input signal of the audio input device is greater than a first preset threshold; selecting a second candidate beam signal from the first candidate beam signals, wherein the correlation between the second candidate beam signal and the recovery reference signal is smaller than a second preset threshold; a preliminary beam signal is selected from the second candidate beam signals, a target beam signal is determined based on the preliminary beam signal, and the correlation between the preliminary beam signal and the beam signal corresponding to the angle of the audio output device is smaller than the correlation between other second candidate beam signals and the beam signal corresponding to the angle of the audio output device. According to the embodiment of the invention, the echo cancellation effect is ensured under the condition of limited computing resources.

This invention discloses a sparse Bayesian target azimuth estimation method based on far-field dictionary reconstruction under strong near-field interference. The method includes subspace decomposition of the observation data to construct a signal subspace projection operator; projecting and normalizing the far-field dictionary to obtain a projected reconstruction dictionary, which replaces the far-field dictionary in sparse Bayesian learning, and jointly performing sparse Bayesian iterative estimation with the near-field dictionary; finally, outputting the far-field target azimuth estimation result. This method effectively partitions the subspace and constructs a projection matrix accordingly to suppress the impact of strong near-field interference on far-field azimuth estimation, significantly improving the far-field target azimuth estimation capability of the sparse Bayesian method under strong near-field interference conditions.

A user equipment (“UE”) in a wireless communication network can generate a padded identifier by inserting a string of padding bits in a field of an identifier associated with the UE. The UE can further encrypt the padded identifier to generate a hidden padded identifier. The UE can further transmit the hidden padded identifier to a network node operating in the wireless communication network.

The invention relates to a separation device for brake dust generated by a wheel brake of a motor vehicle, the separation device being designed to be arranged on a wheel of the motor vehicle in a rotationally fixed manner and the separation device having a flow path, the flow path has at least one first part with a first flow direction and a second part with a second flow direction, the first part adjoins the second part in a boundary region, and the second flow direction forms an angle of at least 45 DEG, preferably at least 60 DEG and particularly preferably at least 90 DEG with the first flow direction, wherein the separating device has a pressure difference generating element for generating a pressure difference between an inlet pressure at the inlet of the flow path and an outlet pressure at the outlet of the flow path, and wherein a collecting section for braking dust is arranged between the boundary region and the outlet of the flow path. The invention further relates to a wheel for a motor vehicle having such a separating device and to a motor vehicle having such a separating device or having such a wheel.

The invention discloses a generation system and a generation method supporting supersampling noise and interference signals, and belongs to the technical field of digital signal transmission. The generation system comprises a parameter configuration module, a parallel noise generation module, a parallel interference signal generation module and a selection output module. The generation system is based on a parallel processing architecture of an FPGA, noise power, interference signals and output parameters are dynamically set through a parameter configuration module, and unused resources are cut off to optimize power consumption; the parallel noise generation module generates M paths of AWGN vector signals in real time; the parallel interference signal generation module supports real-time generation of various signals such as modulation, sweep-frequency comb-shaped signals and composite interference signals; and finally, the selection output module selects and outputs as required. According to the invention, the limitation of the FPGA main frequency on the sampling rate is broken through, large-bandwidth, high-resolution and continuous-phase signal generation is realized, and the problems that the flexibility of the traditional pre-storage scheme is insufficient, and the period and the signal bandwidth depend on the storage capacity are effectively solved.

The application discloses a high-speed data transmission method and device based on a silicon photon chip and a medium, relates to the technical field of data transmission, and comprises the following steps: a plurality of wavelength mode physical channels are constructed by utilizing a micro comb light source, a wavelength demultiplexing structure and a double-mode waveguide on a silicon photon chip; a training sequence is sent under default transmission of a programmable interference network, channel gain and noise are estimated to obtain state information; the number of virtual channels is determined and combination parameters are calculated according to the state information; virtual-real channel mapping is established, and on-chip optical path configuration is completed; a service forward error correction code is encoded on the sending side, and a multidimensional optical signal is generated by cross-virtual channel bit interleaving in the encoding block; after demultiplexing and equalization, the signal is transformed to a virtual channel domain on the receiving side, soft decision demodulation and error correction decoding are performed, a quality index is calculated, and channel state is updated; and linear combination parameter matrix and modulation parameters are further jointly optimized to realize low-error and high-throughput adaptive transmission under a dynamic link.

The application discloses a hyperspectral image target intelligent detection method based on deep learning and belongs to the field of remote sensing image processing. The method comprises the following steps: selecting a background training set with large difference and representativeness between each other through a coarse detection and de-correlated background pixel selection strategy; generating sufficient target training sets by using a target spectrum band random replacement target training sample data enhancement strategy; mixing and disordering the background and target training sets, and inputting the background and target training sets into upper and lower branches of a multi-depth-multi-branch target detection network respectively for training; inputting a to-be-detected pixel and a prior target into the upper and lower branches of the trained network respectively for target detection, and outputting the network to form a final detection result. By using the application, target pixels in a hyperspectral image can be detected and highlighted, and background pixels can be effectively suppressed, so that a detection result with high detection precision, high background suppression degree and high target-background separation degree is obtained.

The application discloses a commodity sorting method, an electronic device, a storage medium and a computer program product, relates to the technical field of information retrieval and recommendation, and comprises the following steps: receiving a search request, obtaining an associated commodity set matched with the search request from a preset commodity library; filtering a first target commodity from the associated commodity set and filling the first target commodity into a first commodity recommendation page, wherein the first target commodity is an associated commodity at a first gear in the associated commodity set; mixing and sorting a second target commodity in the associated commodity set, and filling the second target commodity into a second commodity recommendation page, wherein the second target commodity is an associated commodity at a second gear in the associated commodity set, the commodity correlation represented by the second gear is lower than that of the first gear, and the priority of the second commodity recommendation page is lower than that of the first commodity recommendation page. The application solves the technical problem of poor sorting effect.