7 results about "Pulse envelope" patented technology

The application discloses a kind of based on time-frequency chart's graph signal detection method, terminal equipment and storage medium, the method includes the following steps: obtaining signal time-frequency chart, Fourier transform is carried out after filtering and binarization to it in time direction, the maximum value position of each column is counted and clustered, and the class with bandwidth is too narrow and the column discontinuous in class is removed;The corresponding column of each class is summed in frequency direction to obtain pulse envelope, and then the start and end column of the pulse spectrum envelope corresponding to each class is obtained, which is compared with the start and end column of each class after clustering, to find the class with the smallest error;Iterate until the error of current calculation result and previous calculation result tends to be stable, then determine the frequency band of stable result, that is, whether the signal is the target signal can be judged.The application is applied to communication technology and electronic countermeasure field, not only less calculation, and high-precision detection can be carried out on graph signal under low signal-to-noise ratio condition, but also can filter out part of interference signal, false alarm rate is lower.

The application discloses a kind of nuclear magnetic resonance pulse data's framing method, framing ware and nuclear magnetic resonance spectrometer, it is related to nuclear magnetic resonance technical field.Framing method includes: obtaining the nuclear magnetic resonance pulse data to be framed;Using fixed length coding mode, according to the data type of nuclear magnetic resonance pulse data to be framed, nuclear magnetic resonance pulse data to be framed is framed into independent event frame, or framed into the shaping envelope data frame different from event frame structure, wherein, event frame includes at least one of emission event frame, receiving event frame and delay event frame.Thereby, the FPGAs parsing complex, timing deviation problem caused by variable length framing in the prior art can be overcome, while solving the defect that envelope data cannot be reused and frame data volume is large caused by selective pulse envelope data and emission instruction mixed coding, so as to reduce the complexity of transceiver processing, improve the stability and flexibility of nuclear magnetic resonance detection.

The application is based on an X-band power amplifier system of an eight-port radio frequency pulse amplitude control microstrip network, which is composed of a power amplifier driving and sampling comparison module, an eight-port radio frequency pulse amplitude control microstrip network module, a power amplifier module and a power amplifier control and power supply module; a linear frequency modulation pulse signal generated by a radar transmitter is input to the power amplifier driving and sampling comparison module, is amplified by the power amplifier module again through the eight-port radio frequency pulse amplitude control microstrip network module and is output; the power amplifier control and power supply module controls and supplies power to the whole system. The application embeds an eight-port radio frequency pulse amplitude control microstrip network in a radar power amplifier system, directly controls the amplitude of a radar radio frequency pulse envelope signal in a solid-state power amplifier, reduces the sidelobe amplitude of a pulse compression signal in a final receiver, improves the detection ability of a small target and the display effect of a radar echo, and reduces the cost and design complexity of a radar transmitter.

The application belongs to the technical field of partial discharge detection of power equipment, and specifically discloses a neural network partial discharge identification method fusing a polarization particle swarm optimization. The application adopts a structure parameter particle swarm and a threshold parameter particle swarm to group and cooperatively optimize scale parameters, translation parameters and unified soft thresholds of a wavelet kernel function, and takes a no-reference fitness function composed of pulse energy concentration and pulse envelope form retention as a target to realize the balance between the partial discharge pulse feature retention and the noise suppression under the condition of lacking a noise-free reference signal, and improves the image construction quality. Meanwhile, the application designs a residual neural network fusing a multi-path feature enhancement, a learnable local texture attention module and a light-weight selection kernel attention module, which can simultaneously model the local texture, edge transition, multi-scale structure and global distribution of the image, improve the discrimination ability and generalization performance of the network on the partial discharge image, and guarantee the accuracy and robustness of the identification.

The present application relates to radar technology field, specifically to a kind of efficient ISAR translation envelope compensation method based on iterative updating, first construct the target echo complex matrix X of ISAR and envelope matrix then construct reference pulse number set, and calculate the total correlation level of pulse in set and other pulses, to determine reference pulse η, by calculating the correlation coefficient vector of reference pulse and other pulses and carrying out fitting processing, construct update weight coefficient vector E, based on this to reference pulse η as center to both ends are carried out pulse envelope offset estimation and compensation, to avoid the damage of abnormal pulse to reference envelope, improve environmental adaptability, by set overall pulse information to determine reference pulse iterative updating compensation, realize the fusion of local information and global information, improve the robustness of processing.The present application has the advantages of small amount of computation, easy to engineering implementation, effectively ensure the real-time updating of reference envelope and the efficient, robust realization of ISAR translation envelope compensation.

The application discloses an inverter narrow pulse compensation method, system, device and storage medium, relates to the technical field of power electronics and inverter control, and comprises the following steps: collecting narrow pulse multi-source data through an acquisition unit, inputting the narrow pulse multi-source data into a fitting unit to output a lock pulse characteristic set, inputting the lock pulse characteristic set into a calculation unit to output the number and distribution mode of compensation pulses and save them to a compensation unit, obtaining the lock pulse characteristic set through adaptive polynomial fitting of a lock narrow pulse envelope, obtaining the number of compensation pulses through pulse width and a preset threshold, obtaining the output distribution mode through an envelope and least squares, and superimposing and executing the number and distribution mode of compensation pulses saved in the compensation unit at the same position in the next period. The method has better effects in the integrity of lock pulse representation, the calculability of compensation number and distribution mode, and the cycle consistency of compensation execution.