8 results about "Real time signal processing" patented technology

The application discloses a full-band GIS ultrahigh frequency partial discharge pulse non-loss collection system and belongs to the technical field of intelligent sensing of primary equipment. The system comprises a signal collection and conditioning module, a double-channel high-speed ADC module and a high-speed data processing and storage module. The signal collection and conditioning module is used for connecting an ultrahigh frequency sensor signal and performing filtering and amplification preprocessing on the signal. The double-channel high-speed ADC module comprises two independent and synchronous collection channels and is used for synchronously collecting the preprocessed signal in a full band. The high-speed data processing and storage module is used for controlling the alternate collection of the double channels, real-time linear compensation, trigger timing control and real-time signal processing. The intelligent analysis and control module is used for performing real-time analysis and fault diagnosis on the collected data and dynamically adjusting system parameters. The application adopts a double high-speed channel collection single signal and realizes a cooperative working mechanism of mutual backup, effectively avoids pulse loss caused by system processing delay, and improves the accuracy of partial discharge analysis and the intelligent level of equipment state sensing.

The application relates to a driving control and data acquisition system of a digital ion trap. The application relates to the technical field of mass spectrometer control and data acquisition, and the system takes an FPGA main control unit as a core, internally has four modules of main control and timing scheduling, waveform generation, direct current control and data acquisition, is matched with a communication module, a radio frequency coupling and output interface module, a power module and an upper computer. The application binds waveform scanning parameter updating, direct current gate switching, sampling triggering and data binning operation to the same timing engine through the main control and timing scheduling module to construct a global unified clock domain and timing engine, realizes full-process synchronous linkage of driving control and data acquisition, supports configurable radio frequency driving, multi-mode and multi-channel direct current output, real-time signal processing and multiple safety protection, can eliminate alignment errors of scanning and acquisition, improves mass spectrometry precision, resolution and repeatability, and can flexibly adapt to application requirements of various ion trap structures and portable ion trap mass spectrometers.

The application relates to the technical field of blood flow detection, and discloses a cerebral blood flow detection method and device, which comprises the following steps: acquiring detection signals corresponding to multiple brain regions of a target head; determining a to-be-processed signal in a current sliding window in the detection signals; pre-processing the to-be-processed signal to obtain a cerebral blood flow dynamic parameter time sequence corresponding to each brain region; determining a cerebral blood flow activity index, a cerebral blood flow coordination index and a left-right hemisphere symmetry index based on the cerebral blood flow dynamic parameter time sequence; the cerebral blood flow activity index is used for representing the active degree of cerebral blood flow of the whole brain, the cerebral blood flow coordination index is used for representing the cerebral blood flow coordination between brain regions, and the left-right hemisphere symmetry index is used for representing the symmetry change of blood flow perfusion and blood flow regulation between the left and right hemispheres. Through the sliding window technology and real-time signal processing, the application can realize rapid monitoring of the dynamic change of cerebral blood flow, and can comprehensively evaluate the functional state of the brain region and the mutual relationship from multiple dimensions.

The application provides a two-dimensional optimal disassembly method for long sequence FFT calculation, and relates to the technical field of digital signal processing. In the application, firstly, the difference between the input sequence length and the nearest integer power of 2 is calculated and dynamic zero padding is performed; then, a grouping strategy is adaptively selected based on the parity of the length after zero padding; next, the data is loaded into a dedicated storage unit according to the selected rule to perform row direction FFT processing, and then column direction FFT is performed on the intermediate row FFT result after phase compensation is applied; finally, the two-dimensional transformation matrix is expanded into a one-dimensional vector by row to be output. Through the synergistic optimization of the dynamic grouping strategy and the two-dimensional architecture, the calculation efficiency is effectively improved and the resource occupation is reduced, and the method is particularly suitable for real-time signal processing in a resource-limited environment.

The utility model discloses a kind of graphic processing systems based on embedded dual-core ARM chip control, it is related to embedded graphic processing technical field, and the problem of low processing efficiency, poor real-time performance and signal processing complexity existing in current graphic processing system is solved.A kind of graphic processing systems based on embedded dual-core ARM chip control, containing embedded dual-core ARM chip circuit, figure input module, figure processing module, figure storage module, figure output module, data interaction module, alarm module and display module;The utility model is provided with dual-core ARM chip circuit, and main core is responsible for figure rendering, and coordination core is responsible for system control and real-time signal processing, in combination with FPGA hardware acceleration unit and high-speed parallel bus, through multi-source signal synchronous circuit and multiple input and output interfaces, support multi-source signal input and high-resolution output, meet the graphic processing demand under complex scene.

This invention provides a miniaturized, multi-channel, multi-task integrated real-time radio frequency signal processor, comprising six boards and one backplane. The six boards are divided into two functional types: an integrated radio frequency control and interface card, and an integrated radio frequency acquisition and processing card. This invention employs highly integrated and general-purpose modular SIP design technology. Each integrated radio frequency acquisition and preprocessing card includes one signal acquisition and preprocessing SIP module and one high-performance digital signal processing SIP module, reducing the number and types of components, effectively lowering the number of boards and the power consumption of a single unit. Adopting an integrated radio frequency signal and information processing approach, it can meet the requirements of multiple working modes operating simultaneously. Using multi-source data fusion technology, it achieves information interaction between multiple working modes and fusion-based decision-making. This invention features high hardware integration, integrated multi-source radio frequency signal collaborative processing, stable high-speed signal transmission, easy expansion of the entire unit, and can meet the requirements of simultaneous processing in multiple working modes.

The application discloses a dynamic double self-adaptive composite filtering method and system suitable for a strong electromagnetic interference environment, and belongs to the technical field of signal processing and data acquisition. In view of the problem that signals in a strong electromagnetic interference environment such as a nuclear fusion device are superimposed by wideband random noise and high-frequency stray noise, a composite filtering method based on the combination of a dynamic step length normalized least mean square (NLMS) adaptive filtering and a finite impulse response (FIR) low-pass filtering is provided. The method realizes the cooperative dynamic adjustment of the NLMS filtering step length parameter and the FIR filtering cutoff frequency by constructing a double adaptive mechanism, wherein the step length parameter is adaptively updated according to the error signal energy to balance the convergence speed and the steady-state error, and the cutoff frequency is dynamically adjusted according to the input signal spectrum characteristics to suppress the high-frequency noise. Compared with a traditional fixed parameter filtering method, the application can effectively improve the signal-to-noise ratio in a time-varying noise environment and maintain the signal amplitude and phase characteristics, and is suitable for real-time signal processing scenes in a high-speed data acquisition system.