Compressed signal reconstruction method and device based on joint decision block orthogonal matching pursuit
An orthogonal matching pursuit and joint decision technology, applied in the field of compressed sensing, can solve the problems of inaccurate acquisition of a priori factors and poor performance of sparse signal reconstruction.
Pending Publication Date: 2020-10-30
BEIJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] The embodiment of the present invention provides a compressed signal reconstruction method and device based on joint decision block orthogonal matching pursuit to solve the problem that the acquisition of prior factors in the existing reconstruction method is not accurate enough to cause the reconstruction performance of the sparse signal to be not good enough
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0069] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0070] The technical solution of the present invention and how the technical solution of the present application solves the above technical problems will be described in detail below with reference to the accompanying drawings. The following specific embodiments may be combined with each other, and the same or similar concepts or processes ma...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The embodiment of the invention provides a compressed signal reconstruction method and device based on joint decision block orthogonal matching pursuit. The method comprises the steps: acquiring an observation matrix, an observation vector, a priori information vector, sparsity of sparse signals and average amplitude of the sparse signals; obtaining a priori factor according to the observation vector, the priori information vector, the sparsity of the sparse signal and the average amplitude of the sparse signal based on the gamma distribution; obtaining a support set position according to thepriori factor and the observation matrix, and obtaining a reconstructed atom set of the observation matrix based on the support set position; reconstructing a sparse signal based on a least square method according to the reconstructed atom set and the observation vector. According to the method and the device provided by the embodiment of the invention, the problem that the reconstruction performance of the sparse signal is not good enough due to inaccurate acquisition of the prior information of the existing reconstruction method is solved.
Description
technical field [0001] Embodiments of the present invention relate to the field of compressed sensing, and in particular to a compressed signal reconstruction method and device based on joint decision block orthogonal matching pursuit. Background technique [0002] Compressed sensing theory points out that if the signal is sparse (or compressible), then the signal can be sampled at a sampling rate much lower than the Nyquist frequency, and the original signal can be accurately reconstructed with a high probability. In the theory of compressed sensing, the sampling of signals can be performed at a low sampling rate, so the requirements for sampling equipment are greatly reduced, making it possible to manufacture high-precision and cheap sampling equipment. [0003] A very important research point in the field of compressed sensing is the reconstruction algorithm of sparse signals. The most widely used is the greedy algorithm. The greedy algorithm has a fast convergence speed ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30
CPCH03M7/3062
Inventor 徐文波卢立洋张晓波许良坤党义斐
Owner BEIJING UNIV OF POSTS & TELECOMM