66results about How to "Meet real-time processing requirements" patented technology

The invention relates to a small straight-line section interpolation method of a numerical control system on the basis of multicycle optimal corner, comprising the following steps of: on the basis of processing precision and limitation of maximum processing speed, determining interpolation parameters of an optimal corner with multicycle trasition of each corner on a processing path according to geometric parameters at the corner on the processing path, the maximum acceleration of each driving shaft of a machine tool and an optimized target; adjusting the interpolation parameters of the optimal corner of each corner and leading the processing speed of two ends of each small straight-line section to meet reachability requirement; and then carrying out interpolation of straight line sections and corners to all the small straight-line sections on the processing path, connecting interpolate point sequences of the straight line sections with interpolate point sequences of corners, sequentially outputting the interpolate point sequences in real time, and driving a numerical control machine tool to conduct actual processing. The method can effectively improve the whole processing speed, has fast calculating speed, meets the requirement of real time processing, has stable and reliable working performance and strong practicability and can be applicable to various three-shaft numerical control machine tool with different types.

The invention relates to the technical field of speech, in particular to a real-time speech endpoint detection method and device. The method comprises the following steps that signal framing and emphasis are carried out; pulse removal processing is carried out; direct current components are removed; the short-time energy and zero-crossing rate of each frame of signal are calculated; windowing processing is carried out; spectrum reduction processing is carried out; spectral entropy is calculated; transformation smooth spectral entropy is calculated; a speech frame and a noise frame are preliminarily judged; the transformation smooth spectral entropy and a threshold are processed; a start frame and end frame in a speech segment are judged. The real-time speech endpoint detection method and device have the advantages that according to the conditions under which a signal is judged and a judged result, thresholds of parameters, such as a spectrum reduction threshold, the transformation smooth spectral entropy, the corresponding short-time energy, corresponding short-time average energy and a spectrum reduction power spectrum are weighted and updated, so that the thresholds are more andmore accurate, and finally the judged speech start frame and end frame are also more and more accurate; the method can efficiently and accurately detect speech in real time.

The invention discloses a method for multi-sensor adaptation and real-time data acquisition of a wearable device. The method comprises the following steps that S1 Bluetooth device adaptation, namely a Bluetooth device develops a broadcast packet feature recognition module, a control interface module and a data standardization module; S2 device binding, namely a cloud server establishes a binding relationship between a user ID (Identification) and a device ID in a database; and S3 concurrent real-time acquisition of multi-sensor data, namely a user logs in to the cloud server on a mobile intelligent terminal to obtain a list for the bound devices, the mobile intelligent terminal opens Bluetooth scan and compares the device ID of each Bluetooth device discovered through scanning with the ID of the bound device, a new device thread is created if matching and a connection is established. The method has the beneficial effects that real-time acquisition of the cross-manufacturer multi-sensor data is realized, real-time processing requirements for the multi-sensor data are met, and real-time concurrent acquisition of the multi-sensor data is realized.

The invention relates to a multi-resolution network characteristic registration-based method for sorting face values and face directions of notes in a sorter, which comprises the following steps of: firstly, before performing image recognition and image measurement, balancing the luminance of different points on sampling images; secondly, performing Haar wavelet transform on note images, and extracting approximate picture contents of the note images; thirdly, extracting network characteristics; fourthly, analyzing the separability of the network characteristics on different note images; and finally, establishing a comprehensive sorter by using the network characteristics, wherein a structural risk minimization-based Gaussian mixture model is applied in the sorter. By the method, the real-time processing requirement of the note sorter can be met, and the requirement of processing 1,000 notes per minute can be met. Simultaneously, the defect of inconsistent note images in the same currency and face direction caused by abrasion and printing can be overcome effectively by adopting local characteristic registration so as to perform better recognition.

The embodiment of the invention discloses a block chain consensus processing method, device and system. The method comprises the following steps: enabling an outbound node in a block chain continuously to generate at least one block, sign the block and broadcasts the block; receiving a block by a consensus node in the block chain, and verifying whether the block is legal or not according to a preset rule; when it is confirmed that the block is legal, signing and broadcasting the block; the node in the block chain judges whether the node is in a block outlet window period or not, and when it isconfirmed that the node is in the block outlet window period, the node in the block outlet window period serves as a block outlet node; and when the signature number of the generated blocks reaches apreset number, confirming that the blocks obtain the consensus of the nodes in the block chain, and writing the consensus blocks into the block chain. By utilizing the embodiment of the specification, the consensus, the block output efficiency, the expansibility, the resource consumption and the fault tolerance can be more balanced and efficient.

The invention provides a system for realizing 360-degree panoramic video. The system is realized by being arranged on a camera module, and comprises an interested region selection module, an image stitching processing module and a video conference system module, wherein the interested region selection module is used for defining an arbitrary region within a horizontal plane 360-degree range coated with four lenses as an interested region, and performing image capture on the defined interested region; the mage stitching processing module is used for judging whether stitching operation is required or not according to images captured by the interested region selection module; the video conference system module is used for receiving a panoramic image transmitted by the image stitching processing module, and performing efficient coding processing on the image, so as to realize a 360-degree panoramic video conference effect. The system can randomly select interested regions to perform coding and transmission, and realize instantaneous switching of interested regions in the horizontal plane 360-degree panoramic image without camera mechanical operation.

The invention relates to a multi-element anti-interference antenna system for Beidou / GPS satellite navigation equipment. A multi-element anti-interference antenna internally comprises four independent Beidou B3 antennas which are arranged in a 2*2 matrix mode to form an antenna array, one Beidou B1 / GPSL1 antenna is put in the middle of the Beidou B3 antenna array, signals received by the Beidou B3 antennas are converted into medium frequency signals after low noise amplification and down-conversion processing, the medium frequency signals are inputted to an anti-interference digital processing unit, the space-time joint dimension reduction multi-stage nested Wiener filtering technology is employed by the anti-interference digital processing unit to carry out anti-interference processing on the signals; up-conversion processing on the signals after anti-interference processing is carried out, the signals after up-conversion processing and the Beidou B1 / GPRL1 signals after low noise amplification are combined into one path of radio frequency simulation signals which are taken as output. The system can be applied to time-change interference scenes and can prevent various types of narrow band and wide band oppressive interference in Beidou B3 frequency band. A Beidou / GPS multi-mode way is further employed, and operation reliability of the satellite navigation equipment is guaranteed.

The invention provides an alarm processing analysis system and method of a broadcasting and TV access network. The system comprises a collecting module used for collecting various warning messages sent by network equipment, an analysis module used for analyzing the relevance of various received equipment warning messages according to a correlation model established through data mining in advance between different devices and different warning types, and a judging model used for further judging the relevance types of the warning devices according to an expert knowledge base which is established in advance to obtain the specific relevance type between different devices and different warning types and to find out a root alarm. By means of the alarm processing analysis system and method of the broadcasting and TV access network, the dependency of original warning relevance analysis on TOPO is removed, meanwhile, the expert knowledge base is used for overcoming the defects of data mining analysis warning relevance, the warning real-time performance processing demand can be met, and the analysis accuracy requirement can be met as well.

The invention relates to a method for performing positioning processing on lunar exploration data by a satellite. The method comprises the steps of constructing a lunar exploration positioning coordinate conversion system according to positioning processing of the positioning processing method; acquiring exploration characteristic data of a sensor, and constructing initial observation vectors suitable for multiple types of sensor visual fields on positioning coordinates according to the exploration characteristic data of the sensor; acquiring sensor mounting parameters, satellite attitude data and satellite ephemeris data according to the initial observation vectors of the sensor, and converting the observation vectors of the sensor from a sensor coordinate system to a lunar center fixed coordinate system; processing the observation vectors of the server based on the lunar center fixed coordinate system to obtain an intersection between the sensor and the moon, thus obtaining exploration positioning data, wherein the exploration positioning data are lunar geodetic coordinates corresponding to an exploration position. According to the method for performing positioning processing on the lunar exploration data by the satellite, introduction of middle errors is alleviated, and the calculation precision is improved.

The invention belongs to the parallel processor technical field and relates to a GPU-based acceleration method of an image feature extraction algorithm. According to the GPU-based acceleration method of the invention, fine-granularity parallel implementation of existing main image feature extraction algorithms is performed on GPUs, and optimized acceleration can be performed according to the features of the GPUs; collaborative work mechanisms of asynchronous assembly lines are adopted to make the GPUs perform collaborative calculation; as indicated by a test result, when hardware is configured as an Intel Q8300 CPU and a GTX260 GPU, the speed of the algorithm is 172.33 frames per second, and is 67 times of the speed of a serial algorithm; and when the hardware is configured as an IntelI7 CPU and a GTX295 GPU, the speed of the algorithm is as high as 340.47 frames per second; and therefore, the requirements of real-time processing can be better satisfied.

The invention discloses a CUDA-based quick bilateral filter method. The method mainly overcomes the defect of a standard bilateral filtering algorithm that computation speed is low. According to the method, parallelization is conducted on the original bilateral filtering algorithm, then image data are copied from a host memory into a GPU memory, a GPU (Graphic Processing Unit) is called through a CUDA (Computer Unified Device Architecture) for filtering computation, and parallel execution is adopted for computation of all pixel points. Compared with the existing bilateral filtering algorithm, the CUDA-based quick bilateral filter method has the advantage that on the premise that noise reduction performance is maintained, computing speed is increased greatly, so that the requirement for real-time processing is met.

The invention provides a low-illumination image enhancement method and device and image processing equipment, and the method comprises the steps: obtaining a brightness index parameter value of a to-be-processed image; when the brightness index parameter value is lower than a first preset threshold value, obtaining a control parameter value of a brightness enhancement function according to the brightness index parameter value; and performing brightness enhancement on the to-be-processed image according to the control parameter value. According to the scheme, the brightness of the image can beautomatically detected, so that the image enhancement level is adaptively adjusted, that is, the darker the image brightness is, the higher the stretching degree is, and the brightness of the image with normal illuminance is not changed; full-automatic processing of the image enhancement process is achieved, and image brightness enhancement parameters do not depend on manual adjustment any more; moreover, the image enhanced by the scheme is not excessively enhanced and is not locally noisy. The problem that in the prior art, a low-illumination image enhancement scheme cannot be adjusted in a self-adaptive mode to increase the grade is well solved.

The invention discloses a universal testing device for a VPX high-speed signal board, and relates to the field of high-speed signal acquisition of measurement and control communication and the like. According to the technical scheme, a universal computing module is adopted as a central node of star switching, and a PCIe of an X4 of a connector is connected with a core processing module to completea control function, control and state detection of the core processing module and control and monitoring of an external test instrument are realized; the core processing module interacts with the universal computer module, sends the received information to the signal processing board for processing, responding to a command of reusing the control system through single board software is made, and different function options are loaded; the core processing module takes three FPGAs connected in parallel as a core, completes analysis and distribution of control commands and transmission of signal data streams through the FPGAs, and is connected with SRIO signals of the VPX backboard to form an SRIO data transmission network for data interaction, and the FPGAs send data to each other irregularlyin a point-to-point manner.

The invention provides a cross-power spectrum based blind source separation method aiming at an existing blind source separation method and particularly at time-frequency variations under the circumstance of non-stable mixed signals. The method includes firstly, whitening input signals; secondly, computing power spectrums and cross-power spectrums of received whitened mixed signals or mixed images by the aid of a lag autocorrelation method; thirdly, organizing a power spectrum and a cross-power spectrum of each sampling point to construct a cross-power spectrum matrix, and separating a cross-power spectrum matrix of the mixed signals or mixed images by a joint diagonalization mode to obtain separated matrixes; and finally, utilizing the obtained separated matrixes for separating observed mixed image signals to achieve the purpose for blind source separation of the signals or images. The blind source separation method achieves satisfactory signal separation effect under the circumference of non-stable mixed signal mixing, and has important applications in radio communication systems and audio frequency and acoustic and medical signal processing in the industrial and military fields.

The invention discloses a sea and land clutter scene segmentation method based on direct current component ratio measure, which is mainly used for solving the problem that the segmentation quality in the prior art is poor. The technical scheme is as follows: 1. transmitting a pulse signal by a radar transmitter, and receiving echo data by a radar receiver, wherein an echo sequence in each resolution cell of the echo data is X; 2. calculating a direct current component ratio in each resolution cell by the X to obtain a direct current component ratio matrix W of all resolution cells; 3. converting W into a gray level image H, and carrying out median filter on the gray level image; 4. carrying out initial threshold segmentation on the gray level image H after the median filter by using a maximum between-cluster variance threshold segmentation method to obtain an initially segmented image B; and 5. carrying out morphological filter on the initially segmented image B to obtain a final clutter scene segmentation result Z. The sea and land clutter scene segmentation method disclosed by the invention is used for improving the sea and land clutter scene segmentation quality and meeting the real-time scene segmentation requirements, and can be applied to sea and land clutter scene segmentation under shore-based radar conditions.

The invention discloses an edge controller dynamic task scheduling method based on process and thread scheduling, and the method comprises the steps: dividing services into different priorities according to the sensitivity degree of the services to time delay, and enabling priority of the service sensitive to the time delay to be higher; wherein the scheduling process combines a multi-process scheduling scheme and a multi-thread scheduling scheme; wherein the process scheduling is used for coping with services with different priorities, the thread scheduling is used as an element of the process scheduling to cope with the same service with high concurrency, and the thread scheduling adopts a dynamic priority mode. The real-time processing requirement of the task is met, and the resource utilization rate of the system is improved.

The invention discloses an on-satellite infrared image stripe noise removal method based on similar line window mean compensation. According to the method, firstly, a one-dimensional sliding window with a size N is selected according to an image size to be used as a sliding line window. The sliding line window carries out scanning from an uppermost end to a lowermost end of each column along a stripe noise direction, and a line window with smallest variance, namely, a similar line window of each column, is selected; then gray level mean difference of the similar line window and adjacent areasthereof is calculated to obtain stripe noise difference values of adjacent columns; and finally, a stripe noise value of a first column is set to zero, a noise value of each column is iteratively calculated according to the stripe noise difference values of the adjacent columns, and ideal gray level values of a real ground object can be obtained by subtracting the noise values from original gray level values. Compared with the prior art, the method is low in computational complexity, good in robustness, and high in fidelity on texture details.

The invention discloses an all-unfolded-structured AES encryption / decryption circuit based on a data redundancy real-time error detection mechanism, and is used for resisting fault injection attacks or used for improving circuit reliability in an extreme application environment. The circuit comprises two parts of an AES encryption / decryption unit and a detecting unit, wherein the AES encryption / decryption unit adopts the all-unfolded structure, and is formed by a number Nr+2 of round transformation units and an alternative selector; the detecting unit is composed of a number Nr+1 of comparators. The AES encryption / decryption unit adopts the data redundancy processing technology in the data processing process, utilizes two adjacent round transformation units to perform the same operation on each group of data twice; the comparators in the detecting unit compare the results of the two operations; the AES encryption / decryption unit works normally if the operation results are the same; the AES encryption / decryption unit generates an error if the results are different. Compared with the conventional structural redundancy error detection mechanism, the adoption of data redundancy error detection mechanism can greatly reduce the circuit area.

The present invention provides a multi-projector fusion method based on GPU real-time video processing, and a multi-projector fusion system based on GPU real-time video processing. According to the present invention, by designing and using an edge fusion and non-linear geometric correction parallel algorithm, and adopting a programming mode of CPU and GPU cooperative operation, the operation speed of the algorithm can be improved effectively, the consumption of the CPU resources is reduced, the dependence on the CPU calculation performance is reduced effectively. More space can be provided for the algorithm performance optimization while improving the hardware utilization rate and the calculation efficiency, so that the final projection and display effect is more natural and smooth. With the help of a DirectShow link model, the adaptive capacity of the system to a playing environment can be enhanced, the filters can be modified or added flexibly to complete the functions of the system, and users can adjust the non-linear geometric correction and edge fusion effects of the projective planes by modifying the parameters of the filters.

The invention relates to an image processing method and an image processing device. According to the image processing method, the gray value of each pixel point of a local image is firstly acquired; and then the gray value of each pixel point of the local image is adjusted according to a preset gray value adjusting number, thereby realizing a purpose of increasing contrast of the gray value of each pixel point. When an image is processed according to the image processing method, after the local image is determined, the gray value of each pixel point is adjusted according to the preset gray value adjusting number, and a required effect of a user can be obtained without multiple adjustment by the user. The image processing method realizes requirement for short time and simple processing process.

The invention discloses a method for fast phase shift keying demodulation under a high / intermediate frequency under-sampling condition. The method comprises the following steps of: performing matching design on the frequency of a high / intermediate frequency signal output by an analogue receiver and the sampling frequency of a sampling system, performing under-sampling on the high / intermediate frequency signal, sequentially performing broadband extraction and narrowband extraction on the high / intermediate frequency signal to obtain high-accuracy phase resolution, and performing phase modulation and demodulation. A high / intermediate frequency design is adopted, so that consistence with the condition of limitation of a sampling rate on software-defined radio is not required, the adoption of two paths of local oscillators is not required, the problem of amplitude and phase inconsistence caused by analogue mixing is not required to be taken into account, broadband signal analysis can be combined, an algorithm design with complex numbers is also not required to be taken into account, and the method has high signal adaptability.

The invention discloses a K-S distance merging cost-based SAR image partitioning method, and mainly aims to solve the problems of low partitioning speed and poor partitioning quality on an SAR image in the prior art. The technical scheme comprises the steps of 1, calculating proportional edge strength mapping RESM (x, y) according to the pixel value of an original SAR image, and performing watershed transform to obtain an initial partitioning result; 2, calculating an empirical distribution function Fn(x) of each region pixel value in the initial partitioning result; 3, calculating a K-S distance KSD (a, b) of any two adjacent regions a and b in the initial partitioning result; 4, calculating a value of a merging cost function K(a, b); and 5, determining a final image partitioning result according to the value of the merging cost function K(a, b). By virtue of the method, the SAR image partitioning quality is improved, the complexity is relatively low, the operating speed is relatively high, and the method can be used for SAR image partitioning in a complex scene.

The invention relates to a sonar-based aided self-propelled undersea exploration and rescue search method, belongs to the technical field of self-propelled undersea exploration search strategies, and mainly solves the problems that the current search method for undersea exploration and rescue can only search a set target area, and cannot complete exploration and search for other search areas except the target area. The method comprises the following steps: diving to the sea by an AUV (Autonomous Underwater Vehicle), enabling a side scanning sonar to work, and collecting undersea image features; performing dimension reduction process on high-dimensional undersea sonar detection image data; respectively calculating conspicuousness of features of sonar images at the two sides; comparing the conspicuousness of the sonar images at the two sides; and making a decision according to a comparison result, and returning to step 1 to perform the area exploration of the next step. The sonar-based aided self-propelled undersea exploration and rescue search method provided by the invention enables the AUV to autonomously and dynamically explore and search the seabed, overcomes the blindness in a traditional exploration and search strategy, and provides a feasible plan for the application of the AUV with artificial intelligence to carry out undersea exploration and rescue.

The invention discloses an energy aggregation degree measure-based sea and land clutter scene segmentation method. The main objective of the invention is to solve the problem of poor segmentation quality in the prior art. According to the technical schemes of the invention, the method includes the following steps that: 1, a radar transmitter is utilized to transmit pulse signals, a radar receiver receives echo data, and an echo sequence in each resolution unit of the echo data is X; 2, over-M sampling Fourier transform is performed on X, so that the frequency sequence Y of the echo sequence in each resolution can be obtained; 3, Y is utilized to calculate an energy aggregation degree matrix E; 4, E is converted into a gray image H, and median filtering is performed on the gray image H; 5, threshold initial segmentation is performed on an image H1 which is obtained after the median filtering through utilizing an Otsu threshold segmentation method, so that an initially-segmented image B can be obtained; and 6, morphological filtering is performed on the image B, so that a final clutter segmentation result Z can be obtained. With the energy aggregation degree measure-based sea and land clutter scene segmentation method of the invention adopted, the quality of sea and land clutter scene segmentation can be improved, and real-time scene segmentation requirements can be satisfied. The method can be applied to sea and land clutter scene segmentation under a moving or static coherent system platform.

The invention provides a high-performance and small-area XTS-SM4 encryption circuit, which can realize a XTS encryption mode and an SM4 encryption function. An XTS encryption mode circuit is composedof a two-out-of-four selector, a one-out-of-two distributor, a register and a modular multiplication unit. A pipelined SM4 encryption circuit is composed of 32 round transformation units. The XTS encryption mode circuit multiplexes SM4 IP to reduce the area overhead of the encryption circuit. The pipelined SM4 encryption circuit adopts a three-stage sub-pipeline structure to further improve the encryption speed of the circuit. Through the combination of the XTS encryption mode circuit and the pipelined SM4 encryption circuit, the circuit area is reduced while the data throughput is guaranteed.

The invention discloses a sea-land clutter scene segmentation method based on energy concentration measure, and mainly aims to solve the problem that the quality of segmentation is poor in the prior art. According to the technical scheme, the method comprises the following steps: (1) emitting a pulse signal through a radar emitter, and receiving echo data through a radar receiver, wherein the echo sequence in each resolution cell of the echo data is X; (2) carrying out over-M sampling Fourier transform on X to get the frequency sequence Y of the echo sequence in each resolution cell; (3) calculating an energy concentration matrix E based on Y; (4) converting E into a gray image H, and carrying out median filtering on the gray image H; (5) using a maximum between-cluster variance threshold segmentation method to initially segment the threshold of an image H1 obtained through median filtering to get an initially-segmented image B; and (6) morphologically filtering the image B to get a final clutter scene segmentation result Z. The quality of sea-land clutter scene segmentation is improved. The sea-land clutter scene segmentation method meets the requirement of real-time scene segmentation, and can be used in sea-land clutter scene segmentation under a moving or stationary coherent system platform.

The invention discloses a hierarchical k-best spherical decoding method and device. The method comprises the following steps: S0, inputting original data; s1, eliminating inter-block interference; s2,applying matched filtering and noise whitening to the signal after inter-block interference elimination; s3.1, estimating the prior condition probability of the current search path; s3.2, updating amapping value of the path; s4, updating the metric value of the legal path; s5, replacing the data in the storage unit; s6, performing detecting; s7, performing detecting; s8, correcting the metric value of the path; s9, outputting a result. The device comprises an interference elimination module, an online legality inspection module, a metric updating module, a cyclic detection module, a metric correction module, a soft demodulation output module and the like. Based on a width-first strategy in spherical decoding, the search space is greatly reduced, the calculation complexity is greatly reduced, and illegal nodes are effectively eliminated, so that the bit error rate is reduced, and the error code diffusion is inhibited.

The invention discloses a method for achieving the CAM (computer-aided manufacturing) function based on FPGA (Field Programmable Gate Array). The method comprises the following steps: constructing an original CAM data table according to the known conditions, wherein the CAM data table at least comprises a first address entry and a second address entry; constructing a first data table according to the first address entry in the original CAM data table and saving the first data table into an RAM (random-access memory) of the FPGA, wherein the first data table adopts the first address entry as an address index and the second address entry as corresponding data content; and constructing a second data table according to the second address entry of the first data table and saving the second data table into another RAM of the FPGA, wherein the second data table adopts the second address entry as an address index and the first address entry as corresponding data content. According to the method, the internal resource of the FPGA is utilized, all medium-small capacity CAM functions can be achieved, the logic design is simple, the linear speed real-time processing requirement can be met, the method can be flexibly customized and has strong universality, and additional cost is avoided.

The invention relates to a rapid automatic capture and tracking detection method of single-frame dark and dim point targets, which belongs to the technical field of target rapid capture and tracking in image processing. A point filter is adopted by the invention to detect dark and dim point targets in an image. The detection method comprises the following concrete tracking detection steps of: calling a real-time image and storing an image gray value; designing a point filter to filter the image; sequencing the point targets by utilizing brightness and distance information; recording candidate point target information and carrying out secondary capture; and determining the positions of the point targets and tracking in a small window. The invention has the advantages that the point filter is designed to filter the image, avoiding the problem existing in extraction based on gray level or multi-frame extraction, and realizing target enhancement and background weakening under a complicated sky background, thereby achieving the effect of separating the targets and the background. The targets can be stably detected, and a real-time processing requirement is satisfied, thereby solving the problems of the capture, tracking and measurement of dark, dim and small points. The method has convenient and easy operation, strong real-time property and good stability.