231 results about "Spatial filter" patented technology

Methods and apparatuses for power control and beam management to enable coexistence of radar sensing and wireless communication. A method for a UE includes determining a sensing category or characteristics for a sensing application, and selecting a spatial filter for radar sensing transmission or reception based on determined sensing category or characteristics. The method further includes identifying a radar sensing transmission power and transmitting or receiving radar sensing signals using the spatial filter and the identified radar sensing transmission power. The method further includes reporting one of communication blockage, radar sensing beam information, or CSI adapted to the radar sensing beam information to a base station or neighboring UEs.

A method can include transmitting, by a wireless device and for a beam failure recovery (BFR) of a cell, a random access preamble with multiple spatial filters. The method can also include receiving a message corresponding to the random access preamble. The message indicates a spatial filter of the multiple spatial filters. The method can further include transmitting, after a number of symbols from completion of the BFR, an uplink signal with the spatial filter indicated by the message.

Methods and apparatuses for fast beam indication. A method of operating a UE includes receiving a number (M) of transmission configuration indicator (TCI)state code points activated by a medium access control element (MAC CE) and, if the UE is configured to be indicated TCI state code points on DL control information (DCI) and M>1, receiving the DCI that indicates at least one TCI state code point from the M TCI state code points and determining a TCI state to apply to at least one of downlink (DL) channels and uplink (UL) channels. The method further includes updating one or more spatial filters for at least one of the DL channels and the UL channels based on the determined TCI state and at least one of receiving and transmitting the DL channels and the UL channels, respectively, based on the updated one or more spatial filters.

The invention discloses a bridge expansion joint acoustic monitoring method based on a beam forming microphone array, and the method comprises the steps: synchronously collecting acoustic signals through multiple channels, and achieving the high-precision signal alignment through clock offset compensation; the noise analysis module is started by combining a pre-triggering signal of a vehicle passing through the detection unit, the optimal microphone distance is dynamically determined according to sound field coherence and a signal-to-noise ratio maximization model, and a stepping motor drives a movable microphone to achieve real-time adjustment. On the basis, a spatial filtering weight is generated by adopting a self-adaptive beam forming algorithm, and directional enhancement and interference suppression of the expansion joint sound source are realized. Through collaborative optimization of a hardware structure and a signal processing method, the sensitivity and accuracy of acoustic monitoring of the bridge expansion joint are effectively improved, the abnormal sound source recognition capability can be remarkably enhanced, the environmental noise interference is reduced, and the method is suitable for intelligent monitoring and diagnosis of the long-term service state of the bridge expansion joint.

The invention provides a hydraulic power plant medium leakage identification method and system, and relates to the technical field of hydropower leakage identification, and the method comprises the steps: deploying a high-definition video monitoring device and an operation state sensor module, carrying out the synchronous registration, configuring infrared channel enhancement and polarized light interference suppression, and carrying out the spatial filtering noise reduction and adaptive adjustment; and configuring a multi-modal enhanced input tensor. High-definition video monitoring equipment and an operation state sensor module are deployed in an operation area of a hydraulic power plant, and technologies of infrared channel enhancement, polarized light interference suppression, spatial filtering noise reduction and the like are combined, so that a multi-mode enhanced input tensor is constructed; according to the method, a clear leakage area identification effect can still be kept in a night low-illumination environment, water vapor and fog interference and metal reflection conditions, so that the problem that the identification precision is reduced due to the fact that the prior art depends on single-mode input is effectively solved, and stable distinguishing of oil medium leakage and water medium leakage is achieved.

The invention discloses an electroencephalogram signal analysis method, and relates to the technical field of electroencephalogram signal processing. The method comprises the following steps: collecting and preprocessing a multi-channel electroencephalogram signal; establishing a spatial filter, and separating and storing task-related signals and task-independent signals from the signals; constructing an auxiliary classifier to generate an adversarial network, training an auxiliary classifier by using the task-independent signal to judge whether task-independent noise is mixed in an artificial signal generated by a generator, and applying punishment to the generator, so as to generate a high-quality and high-fidelity task-related artificial electroencephalogram signal; and jointly inputting the generated signal and the original signal into a CNN-LSTM-Attention hybrid model for training to obtain a final spatial filtering and intention recognition model. According to the method, the problem of model performance bottleneck caused by insufficient individual training data in a steady-state visual evoked potential brain-computer interface system is effectively solved, the accuracy and robustness of patient intention recognition are remarkably improved, and meanwhile, the calibration burden of a user is relieved.

A visualization system for dynamically visualizing an eye includes a laser module operable for outputting a primary laser beam along a beam axis, a beam splitter positioned in the beam axis and configured to direct a first beam portion along the beam axis and a second beam portion along a detection axis that is orthogonal to the beam axis. A microelectromechanical system (MEMS) scanner is arranged on the beam axis and configured, in response to the first beam portion, to output a scanning laser along a visualization path. An avalanche photodiode (APD) detector receives the second beam portion. A 4F correlator optical system has a spatial filter arranged along the visualization path. An optional optical flat may be disposed between the eye and the 4F correlator optical system to achieve stereo parallax.

Embodiments include methods for a user equipment (UE) configured for beam reporting in a wireless network. Such methods include receiving a configuration of at least first and second resource sets. Each resource set includes multiple reference signals associated with corresponding multiple spatial filtering configurations. Such methods include performing measurements on the reference signals of the first and second resource sets and sending, to the wireless network, a beam report including the measurements arranged in at least first and second groups. Each group includes measurements performed on a first reference signal from the first resource set and on a second reference signal from the second resource set. The first and second reference signals are received concurrently by the UE. One measurement included in the first group is expressed as an absolute value, while others in the first group are expressed as differential values relative to the absolute value.

Provided are a method and device for determining a power control parameter, and storage medium. The method includes: determining a beam state of an uplink transmission; and determining, based on the beam state, the power control parameter of the uplink transmission, where the beam state at least includes one of the following: a QCL state, a TCL state, spatial relation information, reference signal information, spatial filter information or precoding information.

The invention relates to the technical field of defect detection, in particular to a defect detection method and system based on a microwave frequency crystal resonator, and the method comprises the steps: forming a microwave probe through a microwave frequency crystal resonator array, placing a to-be-detected material below the microwave probe, and setting a scanning area and scanning step lengths in two directions on the surface of the material; controlling the probe to perform point-by-point scanning according to step length, and collecting a plurality of reflection coefficients of each sampling point to form an echo signal matrix; performing singular value decomposition on the matrix, applying an adjustable coefficient to a first singular value and a second singular value, and adaptively selecting an optimal coefficient according to imaging quality to reconstruct an echo signal; performing two-dimensional Fourier transform on the reconstructed matrix, constructing a spatial filter in combination with probe spacing and defect depth to perform phase compensation, performing two-dimensional Fourier transform to obtain a defect image, and performing threshold segmentation on the defect image to obtain a binary image only containing defects; and analyzing the connected regions to obtain the gravity center position of each defect and the defect area determined by the pixel number and the single pixel area. The problems of serious clutter interference, insufficient defect imaging contrast ratio, difficulty in quantitative evaluation of defect size and the like in the existing microwave detection can be solved.

The methods and apparatuses for signaling framework for flexible beam management in a wireless communications network. A method performed by a UE comprises: receiving, from a network node, via a higher layer, a configuration of at least one information element (IE), said configuration comprising at least: an identifier (ID) unique to each IE and ID(s) of one or more uplink (UL) resource(s) and / or downlink (DL) resource(s) that is / are used to indicate at least a spatial filter or beam direction for transmission of at least a Physical Uplink Shared Channel (PUSCH) resource and / or a Physical Uplink Control Channel (PUCCH) resource, and / or a Sounding reference Signal (SRS) resource; and applying the configuration provided in the at least one IE for the transmission of the PUSCH resource, and / or the PUCCH resource and / or the SRS resource. There is also provided a method performed by a network node, a UE and a network node.

A method of operating a re-configurable reflective device, RRD (109) is provided. One or more wireless communication devices (102, 103, 104) are served by an access node (101) via the RRD (109) using multiple spatial data streams. The RRD (109) comprises multiple reflective elements (1094), the multiple reflective elements (1094) being grouped into a plurality of subsets (691-697), the multiple reflective elements (1094) of each subset (691-697) being re-configurable to provide multiple spatial filters. The method comprises obtaining, from the access node (101) and for each subset (691-697) of the plurality of subsets (691-697), a respective first indicator indicative of a respective entry of a respective first codebook and a respective second indicator indicative of a respective entry of a respective second codebook, and reconfiguring, for each subset (691-697) of the plurality of subsets (691-697), the respective multiple reflective elements (1094) to provide a respective one of the multiple spatial filters, based on the respective entry of the respective first codebook and the respective entry of the respective second codebook.

Methods and apparatus for accuracy improvement for opportunistic DMRS or CSI-RS assisted beam prediction. In one embodiment, an apparatus receives a TCI state configuration with respect to a target reference signal, the TCI state configuration including at least one QCL configuration, the at least one QCL configuration including a spatial transmission parameter shared with a source signal. The apparatus receives, from the network entity, a target reference signal associated with the TCI state configuration, wherein a transmit spatial filter of the target reference signal corresponds to a source signal from the TCI state configuration. The apparatus may send a report of the source signal and the predicted channel characteristics for the TCI configuration to a network entity. The apparatus may send, to a network entity, an indication of support of UE capabilities associated with at least one QCL configuration including spatial transmission parameters shared with the source signal.

A random-access procedure with multiple beams for a wireless device can include transmitting a first preamble using a first spatial filter and a second spatial filter. If the wireless device does not receive a random-access response to the first preamble, the wireless device can determine a third spatial filter for transmitting a second preamble. In the event of the third spatial filter being different from the first spatial filter and the second spatial filter, a power ramping counter can be suspended. Additionally, the wireless device can transmit the second preamble using a transmission power determined based on the power ramping counter.

The invention relates to the technical field of computer vision and image processing, and provides a tiny motion trail tracking method based on an optical flow method and spatial filtering amplification. The objective of the invention is to solve the problems of low trajectory tracking precision, poor real-time performance and insufficient environmental adaptability caused by weak tiny motion signals in the existing shooting training video analysis technology, and the method comprises the following steps: receiving a video frame sequence, and carrying out brightness normalization and image denoising preprocessing on each frame; based on a predefined reference template, dynamically positioning a gun taste region of interest ROI through a matching method; the ROI is subjected to spatial filtering amplification processing, an image frequency layer is decomposed on the spatial scale, a change signal within a specific frequency range is amplified on the time scale, and an enhanced image is reconstructed to highlight tiny motion; applying an optical flow method, including a dense optical flow algorithm or a sparse optical flow algorithm, on the enhanced ROI region to estimate a motion vector; and constructing a trajectory point sequence based on the motion vector, carrying out smoothing processing, and outputting smoothed trajectory data.

The invention provides a large-scale tidal flat range extraction and elevation inversion method and system based on gridding segmentation. The method comprises the following steps: S1, screening and preprocessing remote sensing images in a research area to obtain a remote sensing image set; s2, carrying out water body extraction on the screened remote sensing images based on a K-means + + algorithm to obtain a binary image set; s3, summarizing and calculating binarization results to obtain a pixel-by-pixel submerging frequency result, and extracting a tidal flat range; s4, carrying out the inversion of the tidal flat elevation based on the tidal flat elevation inversion model and the grid segmentation to obtain the tidal level information; and S5, spatial filtering post-processing is carried out on the elevation inversion result, and distortion points are removed. Based on the idea of gridding segmentation, the problem that the precision is limited by the assumption that tidal flats with the same tide submerging frequency have the same elevation only in a limited space range during large-scale tidal flat elevation inversion can be solved, and the precision and the speed are both achieved during tidal flat elevation inversion.

The invention relates to the technical field of ultrafast laser spectrum technology and precision optical design, in particular to a flat-topped homogenization pumping light spot generation system and method for transient absorption spectrum, and the system sequentially comprises a micro lens array, a field lens, a soft-edge diaphragm, a spatial filter and a focusing lens along the light path propagation direction. After incident irregular pump light is homogenized by the micro-lens array and collimated by the field lens, soft edge cutting is carried out by the soft edge diaphragm, and a circular flat-topped light spot is output; residual periodic intensity noise in the light field is filtered through a spatial filter formed by a confocal lens group and a pinhole diaphragm; and finally, a flat-topped light spot which is highly uniform in energy density, free of internal modulation and smooth in edge is obtained and is focused to a sample. According to the invention, the problem that the light spot shape, uniformity, edge smoothness and internal noise are difficult to consider at the same time in the prior art is solved, and the spatial overlapping quality of the pump light and the probe light and the signal-to-noise ratio of transient absorption spectrum measurement are remarkably improved.

The invention discloses a defect extraction method and device for a display screen image and a storage medium. The defect extraction method and device are used for reducing the situation that the defect detection precision is reduced due to shadows. Obtaining a screen body image, and determining a target area; performing image segmentation precision analysis on the screen body image; correcting the screen body image; four dynamic array coordinate arrays are generated for the target area, shadow removal processing is carried out according to the four dynamic array coordinate arrays, a shadow-removed screen body image is generated, and the four dynamic array coordinate arrays are the end row and column arrays of the single segmented image area to be divided; carrying out interpolation calculation on pixel points of the corner area of the screen body image subjected to shadow removal; constructing an adaptive spatial filtering kernel matrix, and performing convolution enhancement operation on the adaptive spatial filtering kernel matrix and the shadow-removed screen body image; carrying out threshold value clamping control processing on the screen body image without the shadow, and processing and integrating a defect area through gray scale morphology; and performing defect feature extraction and analysis on the screen body image subjected to shadow removal.

The invention discloses a reflective pumping detection nondestructive testing device and method capable of saturatively absorbing uniformity in a mirror surface. The device is based on a wavelength degeneracy pumping-detection principle, and comprises a femtosecond laser source, a beam splitter, an optical delay line, a double-frequency optical chopper, a two-dimensional precision translation stage, a coaxial focusing system, a spatial filtering diaphragm arranged in a reflection light path, a photoelectric detector, a lock-in amplifier and a signal processing unit. According to the method, different point positions of a sample are accurately positioned through a two-dimensional translation stage, a nonlinear differential reflectance dynamic curve of each point is measured under low power, the maximum differential reflectance and the carrier lifetime are extracted as characteristic parameters, the spatial relative standard deviation of the characteristic parameters is calculated, and lossless and quantitative in-plane uniformity evaluation is realized. According to the method, the interference of the pump light is effectively filtered through the space filtering diaphragm, the signal-to-noise ratio is remarkably improved in combination with the phase-locked amplification technology, and the problem that the nonlinear optical performance uniformity of the saturable absorber mirror cannot be quantitatively evaluated through a traditional method is solved.

A wireless communication method and a device are disclosed. A first communication device may input into a first network model power information of a reference signal portion and power information of an interference noise portion that are obtained by means of measurement, so as to perform prediction to obtain identification information of K spatial filters and / or L1-SINRs corresponding to the K spatial filters. That is, interference between beams (beam pairs) can be reflected in beam (pair) prediction based on an AI / ML model, thereby improving the performance of a beam management system.

The audio device comprises a receiver (201) arranged to receive a set of input audio signals. An audio beamformer (101) performs beamforming by combining the outputs of the filters. The feedback circuit (103) comprises a set of matched filters having a complex conjugate frequency response, and the beamforming adapter (105) adapts the filters in response to a comparison of the input audio signal and the feedback audio signal. An adaptation coefficient processor (207) determines decorrelation coefficients for a set of spatial decorrelation filters that generate a decorrelated output signal from an input audio signal, where the decorrelation coefficients are adapted based on the input signal. A set of spatial filters (205, 301, 401) is arranged to apply spatial filtering to the input audio signal or the feedback signal, wherein the set of spatial filters has coefficients determined from the decorrelation coefficients.

The described techniques enable repeated physical random access channel (PRACH) preamble transmissions across multiple random access occasions (ROs) using a same spatial filter. A user equipment (UE) may transmit a PRACH preamble across multiple ROs, where each RO is associated with a same synchronization signal block (SSB) or channel state information reference signal (CSI-RS). In such cases, the PRACH repetitions may be transmitted in ROs in accordance with a mapping rule: first, in increasing order of frequency resource index; second, in increasing order of a time resource index; third, in increasing order of PRACH slot indices; and fourth, in increasing order of PRACH association period indices. Additionally, or alternatively, the PRACH repetitions may be transmitted in ROs in accordance with a mapping rule: first, in increasing order of time resource index; second, in increasing order of PRACH slot indices; and third, in increasing order of PRACH association period indices.

Apparatus, methods, and computer program products for wireless communication with beam prediction are provided. An example method may include transmitting, for a second network entity, capability information indicative of one or more capabilities associated with at least one panel of the first network entity. The example method may further include predicting a spatial filter change associated with the at least one panel of the first network entity. The example method may further include transmitting, for the second network entity, spatial filter change information indicative the spatial filter change associated with the at least one panel. The example method may further include communicating with the second network entity based on the spatial filter change.

Certain aspects of the present disclosure provide techniques for obtaining a physical random access channel (PRACH) configuration indicating one or more sets of preambles or random access channel occasions (ROs) for one or more candidate quantities of PRACH transmissions; and sending a quantity of PRACH transmissions, of the one or more candidate quantities of RACH transmissions, on a group of ROs from the set of ROs or using a set of preambles corresponding to the quantity of PRACH transmissions using a set of spatial filters, wherein the group of ROs are associated with the set of spatial filters.

The application discloses a target initial orbit determination method and device based on spatial filtering velocity measurement, which comprises the following steps: acquiring a star position image; determining an observation target according to the star position image, and establishing a mapping relationship between a measurement coordinate and an angle position of the observation target; modulating the star position image to obtain a distribution signal of target brightness of the observation target changing with time; acquiring a velocity of the observation target according to the distribution signal of the target brightness changing with time; obtaining an angular velocity and an acceleration of the observation target according to the velocity of the observation target through the mapping relationship between the measurement coordinate and the angle position of the observation target; and obtaining a position vector and an initial orbit velocity of the observation target relative to the earth center through an initial orbit determination algorithm. Compared with a traditional initial orbit determination method, the application directly measures the angular velocity of the target, reduces the coupling between the angle position error and the angular motion quantity, improves the initial orbit determination precision of the target under the observation error condition, and realizes the rapid orbit determination of the target.

The application provides an optical imaging lens and an optical imaging device for collecting a welding image. The optical imaging lens comprises, in sequence from an object side to an image side, an object side lens group, a filter and an image side lens group. The object side lens group comprises, in sequence from the object side to the image side, a first lens, a second lens and a third lens. The second lens and the third lens are cemented to form a first cemented lens. The first lens has positive refractive power, and the first cemented lens has negative refractive power. The filter is a high-pass spatial filter for filtering out a low-frequency region corresponding to welding background light, and the high-pass spatial filter is located on a stop surface of the optical imaging lens. The image side lens group comprises, in sequence from the object side to the image side, a fourth lens, a fifth lens and a sixth lens. The fourth lens and the fifth lens are cemented to form a second cemented lens. The second cemented lens has negative refractive power, and the sixth lens has positive refractive power. The optical imaging lens can effectively suppress strong background light interference and has a compact structure.

The invention relates to the technical field of laser radars, in particular to a vortex light laser radar which comprises a laser emitting unit, an optical receiving unit, an optical modulation unit, a signal detection unit, a signal acquisition and processing unit and a system structure unit. The optical receiving and modulating module divides echo light into a vortex channel and a reference channel through polarization beam splitting. The vortex channel performs orbital angular momentum modulation on echo light by using the receiving modulation unit, converts coherent signal light into annularly distributed vortex light, and filters incoherent noise light through the OAM spatial filtering assembly, thereby realizing spatial separation of signals and noise. The problem of interference of multiple scattered light and background light in a strong scattering medium is effectively solved, the detection signal-to-noise ratio, the maximum detection distance and the target resolution of the laser radar are remarkably improved, and the system is compact in structure, high in engineering practicability and particularly suitable for target detection in underwater, haze and other complex environments.

The invention discloses a double-domain double-scale cross-subject SSVEP (Steady-State Visual Evoked Potential) decoding method and device based on transfer learning, and belongs to the technical field of brain-computer interfaces. The method comprises the following steps: acquiring SSVEP electroencephalogram data of a source domain and SSVEP electroencephalogram data to be decoded of a target domain; sub-band filtering and sine and cosine reference matrix template generation; aiming at source domain data of each sub-band in the source domain multi-sub-band data, constructing a source domain dual-scale template pair of each sub-band for each candidate stimulation frequency, and extracting a single-cycle cross-tested spatial filter; applying time local constraint to target domain data of each sub-band, and extracting an adaptive spatial filter; and calculating multi-path evidence scores, carrying out weighted fusion based on the sub-band weights, and judging and outputting a decoding result. Target subject training data is not needed, high-precision and strong-robustness cross-subject decoding is achieved through double-domain double-scale feature fusion and self-adaptive adaptation, the calculation amount is low, real-time operation is supported, and the practicability and generalization ability of a brain-computer interface are remarkably improved.

This application discloses a method, apparatus, and storage medium for defect extraction from display screen images, aimed at reducing the decrease in defect detection accuracy caused by shadows. The method involves: acquiring a display screen image and determining the target region; performing image segmentation accuracy analysis on the display screen image; correcting the display screen image; generating four dynamic array coordinate arrays for the target region and performing shadow removal processing based on these arrays to generate a shadow-free display screen image, where the four dynamic array coordinate arrays are the final row and column arrays of the individual segmented image regions; performing interpolation calculations on the pixels in the corner regions of the shadow-free display screen image; constructing an adaptive spatial filter kernel matrix and performing convolution enhancement operations between the adaptive spatial filter kernel matrix and the shadow-free display screen image; performing threshold control processing on the shadow-free display image and integrating the defect region through grayscale morphological processing; and extracting and analyzing defect features from the shadow-free display image.

The application relates to the technical field of spectral analysis, and discloses a fluorescence spectral analysis device and method based on a solid-state electron spin ensemble, wherein the spectral analysis device comprises a laser modulation unit, a confocal unit and a fluorescence processing unit; the laser modulation unit comprises a laser, a Griesinger-Taylor prism, an acousto-optic modulator, a beam expander, a collimating lens, a spatial light modulator, a spatial filter and a half-wave plate which are sequentially arranged; the confocal unit comprises a dichroic mirror, a focusing lens, a diamond and a microwave antenna which are sequentially arranged; the diamond has a solid-state electron spin NV color center; and the fluorescence processing unit comprises a filter group, a sleeve lens, a lens, a linear polarizer, a Bertin lens and a camera which are sequentially arranged. The application distinguishes the fluorescence generated by different axial NV color centers from the fluorescence level, and provides a thought and method for the miniaturization and bias magnetic field removal of a quantum detection device of the NV color center.