5 results about "Pulse separation" patented technology

The invention provides a bridge and tunnel distributed dynamic strain noise reduction method based on pulse separation fusion self-supervised learning, and belongs to the field of tunnel structure health monitoring. According to the method, the random noise of the distributed dynamic strain signal can be effectively removed. According to the method, bridge and tunnel structure strain data noise reduction is realized through pulse separation and self-supervised learning. Firstly, filtering and odd-even separation are performed on measured data, then features are extracted by using a sliding window and singular value decomposition, high-value samples are screened in combination with information capacity evaluation, and finally, a model is trained to complete denoising. According to the method, through a pulse separation mechanism and information capacity screening, the space-time structural integrity of the signals is effectively maintained under the condition that manual sample labeling is not needed, robust and high-fidelity denoising of the bridge and tunnel distributed dynamic strain signals is achieved, and the quality and reliability of structural health monitoring data are remarkably improved.

Disclosed herein is a pulse splitter, spectrometers comprising the pulse splitter, and methods of using the same. Suitably, the pulse splitter may be used to prepare an interferometer. The pulse splitter utilizes an adjustable wedge module that includes a receiving wedge element, central wedge element, and collineating wedge element. Each of these elements are made of the same birefringement material and at least one of these elements is movable and configured to modulate the time separation between the first polarized radiation and the second polarized radiation.

The invention discloses a phased array radar signal pre-sorting method based on ST-DBSCAN and DTW, and the method comprises the steps: carrying out the ST-DBSCAN preliminary clustering of received radar pulse signals: completing the clustering in the normalized CF-PW dimension and TOA dimension through dual neighborhood radius constraint, and separating the PAR pulses into clusters with similar parameters and continuous time; according to the characteristic that PAR pulse parameter change has continuity in time, an improved Jaccard distance is constructed to measure relevance in time, whether different pulse sequences may come from the same radiation source or not is judged, and a clustering merging candidate cluster is generated; and a dynamic time warping algorithm (DTW) is adopted to calculate the DOA similarity of the clustering merging candidate clusters, merging of the same radiation source signal is completed according to the DOA similarity, and a radar signal pre-sorting result is output. According to the method, the problem of batch increase caused by variable parameters of the phased array radar by a clustering algorithm is solved, and the sorting efficiency of the phased array radar is remarkably improved.

The application relates to the technical field of laser micro-nano processing, and particularly provides a femtosecond laser processing system and method, wherein the femtosecond laser processing system comprises a laser emission module and a beam shaping module; the beam shaping module comprises a pulse separator, a spatial light modulator and a beam expander; the laser emission module, the pulse separator, the beam expander and the spatial light modulator are sequentially arranged; the laser emission module is used for emitting laser pulses; the laser pulses sequentially pass through the pulse separator and the beam expander and then reach the spatial light modulator; the pulse separator is used for splitting the laser pulses and introducing a pulse delay time between the split laser pulses; the beam expander is used for expanding the laser beam; and the spatial light modulator is used for shaping a Gaussian beam into a flat-top beam. The application has the effect of improving the processing quality of nanochannels on a grating surface.

The application discloses a kind of strong noise condition distribution network equipment partial discharge live detection method, applied to live detection and operation and maintenance technical field, including the following specific steps: obtaining the partial discharge signal of multiple-end detection unit;The partial discharge signal is continuously suppressed, and pulse signal extraction is carried out;According to the extracted pulse signal, the position statistical scatter diagram of pulse source is drawn;The number and position of pulse source are estimated by Gaussian mixture model fitting the position statistical scatter diagram;Select the pulse signal in fixed confidence interval to separate multiple-source pulse, and draw the power frequency phase spectrum of different pulse sources to identify partial discharge.The application only relies on the position difference of pulse source to realize the separation of partial discharge source and noise source, and does not use the intensity information of signal, can remove pulse noise of any intensity, so as to ensure the effective detection and identification of partial discharge under high noise condition.