10results about How to "High speed processing" patented technology

The purpose of the present invention is to be able to perform abnormality measure calculation, clustering and high-speed processing while maintaining abnormality detection sensitivity in abnormality detection based on multiple time series sensor signals. In order to achieve the above purpose, in an abnormality detection device, feature vectors in a specified learning period are clustered and feature vectors belonging to each cluster are adjusted to a fixed number, one cluster is selected based on the newly extracted feature vector, and the abnormality measure is calculated based on a reference vector calculated using all feature vectors belonging to the selected cluster.

The present disclosure relates to a matching method of point cloud data, a matching device, and a computer readable medium. The matching device according to the present embodiment includes a generation unit that generates input models in which the amount of data of point cloud data is reduced, and generates an input model group including a plurality of the input models; an extraction unit that extracts a part of the input models from the input model group based on shape information of the input models; a calculation unit that compares the extracted input models with reference models based on reference point cloud data, and calculates a cost; a determination unit that determines whether the cost converges; and a change unit that changes the position and posture in a direction in which the cost becomes smaller in a case where the cost does not converge.

The present invention discloses a storage and query method and device for monitoring data, and relates to the field of computer technology. A specific implementation of the storage method includes: encoding the monitoring data to be stored, and obtaining the encoded monitoring data to be stored; when the time dimension information of the monitoring data to be stored is at the second level, storing the encoded monitoring data to be stored in a cache and a database; when the time dimension information of the monitoring data to be stored is not at the second level, storing the encoded monitoring data to be stored in a database. This implementation method performs encoding processing on the monitoring data, which can significantly reduce the disk space for data storage, and stores the second-level monitoring data in the cache and the database respectively, which can meet the efficiency of different types of queries and ensure the query speed of recent data in the second-level monitoring data.

The invention relates to the technical field of electronic test and measurement, and particularly discloses a complex signal multi-objective optimization system and method based on a PXIe bus, the system comprises a system controller, a PXIe bus backboard and a functional hardware module, the functional hardware module comprises a signal acquisition module, a core processing module, a signal output module and an auxiliary module; the signal acquisition module is used for converting a complex analog signal into a complex digital signal; the core processing module is used for processing the complex digital signals according to the current configuration parameters and obtaining optimized configuration parameters through a multi-objective optimization algorithm; and the signal output module is used for converting the optimized configuration parameters into actual physical signals and then outputting the actual physical signals so as to drive subsequent execution equipment or serve as feedback signals. According to the invention, the high bandwidth, low delay and modularization characteristics of the PXIe bus are utilized, and a multi-objective optimization algorithm is combined to realize efficient acquisition, processing and optimization of complex signals, so that the real-time performance, precision and flexibility of signal processing are improved.

The invention relates to the technical field of image sensor design, in particular to a high-speed Pipe-SAR-ADC circuit and module for a CIS. According to the circuit disclosed by the invention, firstly, a CDS-PGA part is used for carrying out sampling and holding, gain amplification and fixed offset introduction on an input signal to obtain a differential signal; performing 6-bit quantization on the differential signal through a first-stage SAR-ADC part to obtain a 6-bit numerical code and a residual signal; amplifying the residual signal through an MDAC part to obtain an amplified signal; then, the amplified signal is subjected to 7-bit quantization through a second-stage SAR-ADC part, and a 7-bit numerical code is obtained; and finally, performing redundancy calibration by a redundancy calibration part according to the 6-bit numerical code and the 7-bit numerical code to obtain a final 12-bit numerical code. According to the invention, not only can a higher input signal range and a higher signal-to-noise ratio be met, but also noise is reduced, offset voltage is eliminated, and high speed, low noise and high resolution can be realized.

The application provides a multi-path parallel circuit based on QC-LDPC hard decision decoding algorithm and an implementation method thereof, and is used for solving the technical problems that the existing circuit based on hard decision GDBF algorithm consumes too much hardware resource and the processing speed cannot meet the current high-speed data transmission. The multi-path parallel circuit comprises parallel P-path hard decision circuits, a first conversion circuit and a second conversion circuit. The hard decision circuit comprises an offset module, a first storage RAM, a second storage RAM, a second selector, L shift check modules, a calculation module, L+1 energy value storage RAMs, a flip module and a second XOR module. The offset module is used for storing column offset and row offset of a selected check matrix. The shift check module is used for shifting a code word and obtaining a check subsum. The calculation module is used for calculating the energy value of the code word, encoding the energy value, and obtaining a maximum energy value. The flip module is used for determining whether to flip according to the energy value of each bit of the code word and the maximum energy value.

The application discloses a kind of laser encoding signal processing system and method, and obtains reflected signal to multiple distributed targets of different regions emit laser signal;Laser receiving and collection module carries out set and processing to above-mentioned signal, and executes storage processing to above-mentioned data;Respectively execute synchronous cumulative operation processing to output signal;Signal transmission is carried out after synchronous cumulative operation, and signal decoding module is executed, and decoding operation is executed;The effective information of each target reflected signal is decoded to generate wave gate signal, wherein wave gate locking module is used to generate wave gate signal to extract effective signal for DSP processing module to parse information processing for effective information decoding.The laser encoding signal processing system and method realized according to the application can significantly improve the accuracy of signal processing, improve the identification accuracy and identification efficiency of target information.

The invention discloses an expressway public opinion information processing device, and relates to the expressway public opinion information processing field, and the technical scheme is characterized in that the expressway public opinion information processing device comprises an installation box body, a control panel is installed in the installation box body through screws, and a data acquisition unit, a network connection unit, a public opinion information evaluation unit and a data transmission display unit are integrated on the control panel; the data acquisition unit is used for acquiring public opinion information keyword information of a network platform and a high-speed site, the network connection unit is used for being connected with the network platform, the network connection unit is in data connection with the data acquisition unit, and the public opinion information evaluation unit is used for evaluating public opinion information and classifying the public opinion information. An intelligent edge computing platform is arranged in the public opinion information evaluation unit, the public opinion information evaluation unit is electrically connected with the output transmission display unit, and the output transmission display unit is used for outputting and displaying public opinion information; according to the method, high-speed public opinion information processing is more intelligent, the response processing time is shortened, and the labor cost is saved.

The present invention discloses a dynamically reconfigurable intelligent microsystem based on system-level packaging, comprising: a processor unit, a programmable unit, a first memory and a second memory; wherein the processor unit comprises a low-speed communication interface, a high-speed communication interface, a DDR interface, a ROM interface, an SRAM interface, a general IO module and an IO space; the programmable unit comprises a configuration interface, a programmable logic resource, a high-speed transceiver interface, a programmable IO interface and an optional configuration interface. The present invention meets the urgent needs of aerospace equipment for miniaturization, low power consumption and intelligence of electronic systems.

The present invention provides a sound signal processing device, system, method and recording medium. The sound signal processing device (10) comprises: a first conversion unit (110) which uses IIR type DFT to convert the input data sequence of the sound signal into frequency data according to the processing timing; a window processing unit (120) which uses a window function to perform window processing on the frequency data; a signal processing unit (130) which performs a predetermined signal processing on the frequency data after the window processing; and a second conversion unit (140) which converts the frequency data after the signal processing into a time axis data sequence.