243 results about "Spatial modulation" patented technology

A system and a method for modeling local and global spatio-temporal context in a video for video recognition includes obtaining an input feature map and transforming the input feature map using linear functions to generate a spatial feature map and a temporal feature map corresponding to a video. The method further includes generating hierarchical contextual feature maps based on the spatial feature map and the temporal feature map that represent a context of the video at multiple levels of granularity. The method further includes aggregating the hierarchical contextual feature maps based on gating weights to obtain a spatial modulator and a temporal modulator that are representative of an aggregated context across the multiple levels. The method further includes obtaining an output spatio-temporal feature map based on the spatial modulator, the temporal modulator, and a query token associated with the video.

The invention relates to the technical field of motors, in particular to a space vector modulation method of a five-phase series end winding permanent magnet synchronous motor, which comprises the following steps of: drawing voltage vector distribution; dividing a maximum modulation domain; obtaining a three-dimensional space modulation domain and a two-dimensional space modulation domain, obtaining a basic voltage vector adjacent to a sub-tetrahedron where each reference voltage vector is located and a duty ratio of the basic voltage vector, and judging whether each reference voltage vector is over-modulated or not; performing overmodulation on each reference voltage vector in the three-dimensional space modulation domain and the two-dimensional space modulation domain; if the duty ratio of the upper bridge arm is larger than 1, a double-sampling-period modulation strategy is adopted for modulation; and the switch sequence is centrally symmetrical and then input to a five-phase six-bridge arm series end winding inverter. According to the method provided by the invention, the reference voltage can be tracked with relatively high precision, the harmonic current and the zero-sequence current can be effectively suppressed, and the method has relatively high DC bus voltage utilization rate.

The subject matter described herein relates to various antenna element configurations, antenna array configurations, their operations including various systems and methods to generate modulated data for transmission by an RF antenna array via an optical processing engine. The subject matter includes optical processing engine structure and methods (e.g., modulating in the optical domain, MIMO and spatial modulation via RF beam formation, coherent transmission of RF signal components, coherent operation of spatially separate RF antenna arrays) that may be implemented with the various RF antenna array structures. In some examples, the system combines the virtues of digital, analog and optical processing to arrive at a solution for scalable, non-blocking, simultaneous transmission to multiple UE-s. Much of the system architecture is independent of the RF carrier frequency, and different frequency bands can be accessed easily and rapidly by tuning the optical source (TOPS). In some examples, multiple communication channels may be transmitted simultaneously to different locations. The transmitter may be formed by an array of optically fed antennas.

Methods and systems for performing image object removal, including: obtaining an input image comprising an object; obtaining a mask corresponding the object in the input image; generating a masked image based on the input image and the mask, wherein the masked image comprises a missing area corresponding to the object; providing the masked image to a Fourier-based encoder; and generating a composed image by providing an output of the encoder to a Fourier-based cascaded decoder comprising a Fourier-based global modulation decoder cascaded with a Fourier-based spatial modulation decoder, wherein the object is not included in the composed image

The invention relates to the technical field of grid-connected inverter control, and discloses a grid-connected inverter model predictive control method based on a neutral-point potential fluctuation control factor, in the process of controlling a grid-connected inverter by using model predictive control, firstly, an SVPWM method and the model predictive control method are combined, the design of an objective function is simplified, and the model predictive control factor is optimized; the optimal switch sequence can be selected only by calculating the midpoint potential deviation; secondly, neutral-point potential balance control is realized in spatial modulation, a large sector is further divided into a plurality of small sectors, the position of the small sector where a reference voltage vector is located is determined, a switch sequence is selected from the determined small sectors for traversal, the traversal frequency is reduced, and the calculation efficiency is improved; and finally, designing a midpoint potential control factor, and greatly reducing the content of high-amplitude common-mode voltage on the premise of ensuring the balance of the midpoint potential. Moreover, the overall control structure is clear and easy to implement, and the dynamic performance and the steady-state tracking performance of the controller are both improved.

A transmission coating for a waveguide is formed with multiple layers. There are steps of a) determining a first coating parameter and a coating function for each layer -3000, b) forming the multiple

The invention belongs to the technical field of vehicle-mounted communication, and relates to a transmitting end and a receiving end of a vehicle-mounted communication system, the vehicle-mounted communication system and a method. A multi-antenna base station constructs a mapping relation between index bits and a reflection array element group and between the index bits and a transmission array element group by using a generalized spatial modulation technology, modulates the index bits and information bits to obtain target to-be-transmitted signals, and transmits the target to-be-transmitted signals and carrier signals; the omnidirectional intelligent metasurface transmits a target signal to be transmitted to the demodulator, and carries out modulation coding on a carrier signal based on a reflection phase offset control signal and a transmission phase offset control signal generated by the controller. A reflection signal matrix and a transmission signal matrix are generated and transmitted; a demodulator demodulates a target signal to be transmitted to obtain index bits and information bits; the controller divides a plurality of array element groups of the omnidirectional intelligent metasurface into a reflective array element group set and a transmission array element group set based on the index bits, and generates a reflective phase offset control signal and a transmission phase offset control signal based on the information bits.

The invention provides a spatial light modulator, a self-checking device thereof and a light computing device, and relates to the technical field of optical modulation.The spatial light modulator comprises an incident waveguide structure, a covering plate, a liquid crystal layer, a substrate and an emergent waveguide structure; the incident waveguide structure is optically coupled with the cover plate and is used for guiding externally incident laser into the cover plate at a preset angle; the covering plate is used for enabling laser to be propagated in the covering plate in a total reflection form; the substrate bears the liquid crystal layer, integrates the driving circuit and is used for applying regulation and control voltage to the liquid crystal layer; the liquid crystal layer is arranged on the lower side of the covering plate and used for conducting phase modulation on the laser transmitted to the liquid crystal layer in a total reflection mode in response to the regulation voltage. And the emergent waveguide structure is optically coupled with the covering plate and is used for guiding the laser modulated by the liquid crystal layer out of the covering plate to a free space. According to the spatial light modulator, efficient spatial modulation and accurate control of the light field are realized, so that the integration and function accuracy of the spatial light modulator in self-inspection and light calculation are improved.

The invention discloses a visual detection method and system for tea impurities, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-detected tea image and a training image data set, and carrying out the preprocessing of image data in the training image data set; inputting a to-be-detected tea image into a trained tea impurity detection model to obtain a plurality of tea impurity detection results containing confidence coefficients of a to-be-detected target and a detection frame, the trained tea impurity detection model comprising a backbone network, a neck network and a plurality of detection heads, the backbone network comprises a ScharrStem module, a first SGCB improved module and a second SGCB improved module, and the neck network comprises a first SGCB improved module, a second SGCB improved module and a channel sensing spatial modulation module; and determining a target tea leaf impurity detection result according to the confidence coefficient and the detection frame in the plurality of tea leaf impurity detection results. The detection accuracy of the tea impurities can be improved.

The invention discloses a projection photoetching machine alignment sensing system based on vortex light spatial modulation. Wherein the reflector is located between the silicon wafer alignment mark and the first lens, reflects a light beam which is emitted by the alignment light source and is parallel to the silicon wafer alignment mark, and generates a first reflection light beam which vertically irradiates a first grating or a second grating of the silicon wafer alignment mark; after the first reflection light beam is diffracted by the silicon wafer alignment mark, generated positive first-level diffraction light and negative first-level diffraction light are upwards transmitted to the second lens through the first lens; the detector receives convergent light beams which vertically penetrate through a first vortex phase plate and a second vortex phase plate which are distributed on two sides of a central optical axis of the alignment sensing system in an xz plane; or receiving a convergent light beam which vertically penetrates through a third vortex phase plate and a fourth vortex phase plate which are distributed on the two sides of the central optical axis of the alignment sensing system in the yz plane. The system provided by the invention can realize the position detection of the alignment mark of the sub-nanometer and deep sub-nanometer precision photoetching machine.

The invention discloses a multi-scale azimuth perception feature enhancement network SAR target identification method and system, and belongs to the technical field of image processing. The method comprises the following steps: obtaining a feature map of an SAR image; generating a channel parameter and a dynamic convolution kernel according to a target azimuth angle of the SAR image, and performing channel and spatial modulation on the feature map by adopting the channel parameter and the dynamic convolution kernel to obtain an enhanced feature map; fusing the enhanced feature maps of different scales to obtain a final feature map; in the training process, a difference azimuth angle feature consistency loss function, a dynamic angle interval loss function and a cross entropy loss function are adopted to calculate an overall loss function of the network, and iterative training is carried out to obtain a trained multi-scale azimuth angle perception feature enhancement network; identifying a target in the SAR image according to the trained multi-scale azimuth perception feature enhancement network; the method can adapt to feature changes caused by changes of azimuth angles of different targets in radar image recognition, and the robustness of SAR target recognition in a complex environment is improved.

The invention provides a polymer flooding reservoir model prediction method and device, equipment and a storage medium. Relates to the field of oil-gas field development engineering. The method comprises the steps that an injection-production system matrix is converted into a multi-channel field graph containing time codes, and a depth operator network is constructed in combination with three-dimensional physical field data output through reservoir numerical simulation; a branch network adopts a residual attention network to convert the injection-production system field graph into a parameter-dependent feature graph; the backbone network converts tensors of time coding into spatial modulation weights, and initial operators of a pressure field, an oil saturation field and a polymer concentration field are generated through dot product operation; dynamically enhancing the data density of the high-error region by using an adaptive sampling mechanism based on a Gaussian mixture model; and realizing transient multi-physics field synchronization high-precision prediction by combining geometric similarity matching multiplexing physical tags. The problems that a traditional numerical simulator is low in calculation efficiency and a conventional agent model is poor in generalization ability are solved.

The invention relates to the technical field of optical detection imaging, in particular to a single-pixel imaging method and system. Comprising the steps of obtaining optical signals to obtain a reference image and target optical field information, taking the reference image and the target optical field information as a mark set and a signal set, and establishing a neural optical field model and a feature extraction network; dividing corresponding data sets and random samples into a training set, a test set and a verification set according to the same random seed function; training with a neural light field model, and outputting as a model file when the minimum value of a loss function obtained through training is smaller than a set threshold value; the trained model file is verified through a verification set, if the obtained accuracy rate is larger than a first threshold value range, the result is qualified, and otherwise, iteration model training and verification are repeatedly conducted through a new random seed function, no complex optical-mechanical structure and spatial modulation mode exist, high-precision imaging of an object can be achieved through a single-pixel sensor, and high-precision imaging of the object is achieved. And meanwhile, a semi-supervised deep learning algorithm is adopted, so that the training speed is improved, and hardware resources are saved.

The invention discloses a synchronous perception and backscatter communication method and device based on spatial modulation and backscatter, and relates to the technical field of communication, and the method comprises the steps: transmitting a pilot signal to a label through a transmitting array, modulating the load impedance of the label, and then backscattering the signal to a receiving array; the receiving voltage generated by the receiving array and the original channel matrix are adopted to determine the reflectivity of the clutter tag and the reflectivity of the tag antenna; positioning and identifying the tag based on the reflectivity of the clutter tag; extracting a target channel matrix for constructing a tag from the original channel matrix according to the tag antenna reflectivity; performing spatial modulation on the information bits through a transmitting array, generating constellation symbols and determining an activation label; and backscattering the constellation symbols to the receiving array through the activation tag by adopting the transmitting array, and demodulating and decoding by combining the target channel matrix to output information bits. The backscatter label is accurately positioned and identified in a disordered environment, and spatial modulation is integrated into backscatter communication, so that the reliability of backscatter communication is improved.

The invention discloses a springback compensation control system for a metal stamping part, and belongs to the technical field of metal plate forming. The system comprises a stress memory prediction module, a fractal compensation analysis module, a phase change compensation regulation and control module, a compensation decision fusion module and an execution feedback optimization module. The stress memory prediction module extracts stress evolution characteristics of the stamping process through a multi-scale memory network and a time decay attention mechanism; the fractal compensation analysis module adaptively adjusts the compensation grid density based on the fractal dimension to realize optimal configuration of computing resources; the phase change compensation regulation and control module predicts the phase change behavior of the material through the thermal-mechanical coupling constitutive model and calculates the compensation correction amount caused by phase change; the compensation decision fusion module intelligently fuses three compensation strategies by adopting Bayesian reasoning and a spatial modulation function; and the execution feedback optimization module realizes continuous optimization of the system through online learning. According to the method, the influence of three dimensions of stress history, geometric complexity and material phase change is comprehensively considered, accurate prediction and compensation of the springback behavior are achieved, and the forming precision and production efficiency of the metal stamping part are remarkably improved.

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for optical, radio frequency (RF), and / or acoustic data transmission by dividing each of one or more sequences of channel coded bits d into N blocks thereof, which are respectively spatially modulated (SM) with respective pilot sequences and mapped to constellations to provide thereby respective symbol streams, which are modulated in accordance with orthogonal signal division multiplexing (OSDM) to provide respective SM-OSDM signals, which are transmitted via optical sources, RF antennae, acoustic transducers, and the like during respective timeslots such that a receiver associated with a plurality of receiving devices may reconstruct the bitstream used to form the one or more sequences of channel coded bits d.

A spatial adaptive multi-user service modulation and demodulation method suitable for various channel environments is characterized in that an uplink channel is configured with multiple paths of general carriers and multiple paths of helicopter special carriers in a frequency division mode, and the general carriers support uplink adaptive information transmission of terminals of various types and sizes in an MF-TDMA (Multimedia Frequency-Time Division Multiple Access) system; the on-satellite demodulator obtains a modulation coding mode of a burst data segment by identifying mode word information in a physical layer frame header, and demodulates a corresponding mode; the carrier special for the helicopter uses a continuous carrier mode, and multi-rate channel error correction coding and decoding under rotor wing shielding are supported in a channel interleaving mode. Downlink transmission is carried out in a fixed time slot and free time slot time division mode, and downlink information transmission for universal multi-type terminals and helicopter terminals can be supported at the same time. Compared with a common spatial modulation and demodulation method, the modulation and demodulation scheme provided by the invention can support adaptive transmission of general services of multiple types of terminals and helicopter service information on both an uplink and a downlink by using one satellite-borne modem.

The utility model discloses an echelle grating spectrometer based on a digital micromirror device, which belongs to the technical field of spectrometers and comprises an echelle grating spectrometer, a digital micromirror, a reflection focusing mirror, a photomultiplier, a data acquisition card and an upper computer. The light is spatially modulated through a digital micromirror, the light is focused on a photomultiplier, and information is received by a data acquisition card; time sequence synchronization of the digital micromirror and the data acquisition card is completed by transmitting a synchronizing signal of the digital micromirror to the data acquisition card, and meanwhile, an overturning mode of the digital micromirror is designed, so that rapid scanning imaging is realized. According to the echelle grating spectrometer based on the digital micromirror device, the cost is reduced, and the time for acquiring spectral information is shortened.

The invention discloses a spatial-spectral domain joint compressed sensing method for an infrared spectral image, and belongs to the field of high-resolution spectral imaging and compressed imaging. The implementation method comprises the following steps: generating a spatial-spectral domain joint compression imaging coding matrix, loading the matrix as a coding template onto a DMD (Digital Micromirror Device), carrying out spatial modulation on target light information, carrying out spectral modulation on a spectral image subjected to spatial modulation by using a diffraction grating, and carrying out spectral imaging on the spectral image subjected to spatial modulation. And carrying out space down-sampling and spectrum down-sampling on the modulated image by using a low-resolution infrared camera to obtain a low-resolution two-dimensional aliasing image. The limitation of the spatial resolution and the spectral resolution of an infrared camera is broken through through spatial domain compression imaging and spectral domain compression imaging, and an original high-space and high-spectral-resolution infrared image can be recovered from a collected low-space and low-spectral-resolution infrared image by using a reconstruction algorithm. According to the invention, the spatial and spectral correlation of the spectral image is utilized, data compression is carried out before data acquisition through a compression imaging method, and the data volume of acquisition, storage and transmission is significantly reduced.

The present invention discloses a low-complex, reliable multidimensional orthogonal time-frequency space (ND-OTFS) modulation-based communication system for uplink and downlink wireless communication between resource-constrained Internet of Things (IoT) and machine-to-machine (M2M) devices comprising at least one transmitter configured to transmit bit stream involving N-Dimensional signal mapper and OTFS frame and at least one receiver configured to be integrated into said IoT or M2M devices, featuring a low-complexity detector for receiving the transmitted bit stream.

The invention discloses a spectral confocal three-dimensional measurement method based on spatial modulation, and the method comprises the steps: receiving incident light of a light source, controlling a light adjusting switch of a light spatial modulation unit according to a first scanning order, and enabling the light adjusting switch to have an array arrangement structure in the light spatial modulation unit, thereby enabling the light adjusting switch to have an array arrangement structure in the light spatial modulation unit; the incident light of the light source is reflected at different positions of the light space modulation unit, and under the control of each scanning sequence, the reflected light is subjected to dispersion light splitting to realize distribution of different wavelengths at different positions of the normal direction of the surface of a sample to be measured, so that three-dimensional measurement of the surface of the sample to be measured is realized. According to the method, the scanning precision and the scanning efficiency can be remarkably improved.

The invention provides a coding aperture snapshot spectral imaging system based on orthogonal double chromatic dispersion and a hyperspectral image reconstruction method, and the system obtains horizontal and vertical compression measurement images through the synchronous compression sampling of horizontal and vertical chromatic dispersion channels which are orthogonally arranged and a common spatial modulation mask. The reconstruction method comprises the following steps: in combination with an imaging mathematical model, establishing an optimization equation containing a priori item, constructing a double-color dispersion depth expansion framework (DDDU), and decomposing the optimization equation into a data sub-problem and a priori sub-problem. Data sub-problems are independently optimized through horizontal and vertical dispersion closed solutions, and a dual-channel complementary information structure is kept; according to the prior sub-problem, double-color scatter information fusion Transform (DDIFT) is adopted to carry out joint denoising and feature fusion. And high-fidelity hyperspectral image reconstruction is realized through iterative solution. According to the method, the sampling rate is improved by innovatively combining the orthogonal double-color dispersion channel design, and the imaging and reconstruction performance is improved by effectively utilizing complementary spectral information through an algorithm combining a physical model and deep learning.

A flying-over beam pattern scanning hologram microscope device includes: a scan beam generation unit which converts of a first beam and a second beam to a first spherical wave; a scanning unit, which includes a spatial modulation scanner for controlling the scan beam in the horizontal direction, and a translation stage for moving an object in the vertical direction at the rear end of the projection unit; the projection unit projecting the scan beam onto an object plane; and a light collection unit which detects a beam that has passed through the objective lens again after being reflected or fluoresced from the object.

The invention provides a sonar target detection method and device for a complex marine environment. According to the method provided by the invention, a C3k2SFD module maps a convolution kernel weight to a frequency domain through frequency weight decomposition, sets are divided according to a frequency mode length and then recombined into a convolution weight, a global attention branch and a first local branch are constructed in combination with spatial modulation to generate a dynamic convolution weight, and sub-band features are adjusted through frequency band modulation and a spatial attention graph; the MSDA module performs normalization and channel expansion on the input features, then splits the features, extracts spatial attention features through deep convolution of different directions and sizes, fuses various receptive field features, and multiplies the features with another feature; the C2DYT module carries out feature nonlinear compression control on extreme value echo features through the first dynamic activation layer, carries out dynamic range compression and channel-level affine adjustment on the second dynamic activation layer, combines residual connection, and effectively improves the accuracy and robustness of target detection in a complex marine environment through the combined action of the three.

Optically computed phase imaging systems and methods are provided. An example system includes an interferometer configured to output 3D spatial-spectral data of a sample including an interferometric signal and an optical computation assembly having a spatial light modulator configured to modulate the 3D spatial-spectral data with a modulation pattern. The modulation pattern modulates the interferometric signal along a spectral dimension to select a depth to obtain a sample signal at the selected depth and modulates the interferometric signal along a first spatial dimension to create a waveform to facilitate phase extraction. The system further includes a detector configured to detect 2D spatial data of the sample. The system further includes a processor coupled to a memory, the processor configured to process the 2D spatial data to extract phase information of the sample.

The invention discloses an optical fiber single-pixel imaging method and device based on sparse optimization and neural network fusion, and the method comprises the steps: constructing a collimation illumination system, carrying out the spatial modulation of incident light, introducing a collimation illumination mechanism, and obtaining a spatial speckle illumination light field of a multimode optical fiber; performing sparsity extraction analysis on the spatial speckle illumination light field by using a sparse optimization algorithm, removing a high redundancy mode, and selecting a speckle illumination mode with the lowest cross correlation; a speckle illumination mode after sparse optimization is used as input, a neural network model constructed based on a soft threshold iterative algorithm is trained, and an optical fiber single-pixel image reconstruction model is established; performing sparse optimization speckle illumination on a target object, acquiring corresponding total light intensity response data, inputting the data into the trained optical fiber single-pixel image reconstruction model, realizing image reconstruction and outputting a final target image; the method has anti-defocusing capability and anti-disturbance robustness, and can still keep good optical fiber single-pixel image reconstruction performance under the condition of low sampling rate.

The invention discloses an automatic driving vehicle wide-area driving area detection method based on space-ground integrated communication, which comprises the following steps: processing a single-view 2D image collected by a cooperative vehicle to obtain a feature tensor with a classification result, compressing the feature tensor in a channel dimension, transmitting the compressed feature tensor through a low-orbit satellite, sending the compressed feature tensor to the vehicle, and combining lane information to detect the wide-area driving area of the automatic driving vehicle. A self vehicle realizes feature fusion among multiple vehicles by using a spatial modulation cross attention mechanism to obtain global features, reconstructs the global features into a spatial feature map through a linear mapping layer, obtains a multi-scale fused feature map through an up-sampling operation, finally generates a category probability map through a convolution operation, obtains a single-channel semantic segmentation map through a pixel-by-pixel argmax operation, and finally obtains a multi-scale fused feature map through an up-sampling operation. And carrying out refined classification on each pixel in the single-view 2D image through a task head, and identifying roads, vehicles, pedestrians and obstacles. Under the condition of not depending on a large amount of annotated data, the overall perception performance is improved, and a new scheme is provided for further development of the intelligent network connection automobile perception technology.

The invention relates to the technical field of photoelectric detection, in particular to a photocurrent imaging system based on a probe station and an electrometer. The system generates a focused detection light beam through a light path system, the focused detection light beam irradiates a sample carried by a probe station after being spatially modulated by a mask plate, weak light current signals generated by the sample are collected by an electrometer, and a high-resolution light current distribution image is generated by combining scanning motion of a high-precision electric control displacement platform and intelligent processing of computer software. A physically-driven signal enhancement model, a multi-dimensional noise suppression algorithm and a dynamic imaging optimization formula are innovatively designed, the problems that in the prior art, weak light current detection precision is low, the scale connection error is large, and imaging efficiency is insufficient are solved, accurate quantitative analysis of the photoelectric characteristics of materials is achieved, and the method is suitable for popularization and application. The method is suitable for semiconductor device research and development, solar cell performance evaluation, biosensor detection and other scenes, and has both detection precision and application flexibility.

A system and method for contact-based spatial frequency domain imaging. A medium to be imaged is contacted by a sheet comprising an array of lighting elements generating illumination light patterns illuminating the medium, and comprising an array of sensor elements measuring spatially resolved images of resulting light patterns reflected back after interaction of the illumination light patterns with the medium. The lighting elements generate illumination light patterns that are spatially modulated in light intensity along a surface of the illuminated medium according to a respective different spatial frequency. A set of spatially modulated images is determined based on the measured resulting light patterns caused by the different illumination light patterns. An image of the medium can be generated based on a combination of the spatially modulated images.

The application discloses a long-wave infrared dynamic space modulation device and method based on double coding apertures, and belongs to the technical field of optics. The application avoids the diffraction effect in the long-wave infrared space modulation process by selecting a large-size coding pixel coding aperture, adopts a double coding aperture space light modulation structure, separately performs space modulation on target light beams, and realizes coding effect superposition through beam combination, so that the space modulation resolution of the large-size coding pixel coding aperture is improved. On the premise of guaranteeing the space modulation resolution requirement and without increasing the coding aperture area, the diffraction effect in the long-wave infrared space modulation process is avoided by selecting the large-size coding pixel coding aperture. The application introduces the use of a displacement table, and the position of the moving coding template is transformed for multiple times within the single information acquisition time of the system, so that the effective coding area in the optical path is transformed, more coding superposition effects are generated, and the coding resolution and the coding gray scale are further improved.