Ultra-wideband pulse waveform space-time synchronization compression method, system, medium and product
By constructing a spatiotemporal joint sensing dictionary and channel state adjustment, and combining manifold learning and variational Bayes iterative inference, the sampling and reconstruction problem of ultra-wideband pulse signals under dynamic channels was solved, achieving efficient transmission under band-limited conditions.
CN121984643BActive Publication Date: 2026-07-24YANGO UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YANGO UNIV
- Filing Date
- 2026-04-03
- Publication Date
- 2026-07-24
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Figure CN121984643B_ABST
Abstract
The application relates to the technical field of signal compression, in particular to an ultra-wideband pulse waveform space-time synchronous compression method, system, medium and product. The method comprises the following steps: performing multi-dimensional orthogonal projection on an original ultra-wideband pulse signal by using a space-time joint perception dictionary to extract space-time feature coefficients; adjusting an observation matrix according to channel state information, performing compression sampling on the space-time feature coefficients by using the adjusted observation matrix to generate a compressed observation vector; performing manifold learning dimension reduction mapping on the compressed observation vector to construct a space-time manifold topological structure, and obtaining manifold feature coordinates based on the space-time manifold topological structure; introducing a weighted least square constraint to perform nonlinear reconstruction on the manifold feature coordinates to generate a sparse pulse sequence; performing variational Bayesian iterative inference on the sparse pulse sequence to obtain optimal quantization parameters, and performing entropy coding on the sparse pulse sequence by using the optimal quantization parameters to generate a transmission code stream. The application can guarantee that the details of the pulse signal are complete and not distorted.
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