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A signal reconstruction method based on block compressed sensing

A block-based compressed sensing and signal reconstruction technology, applied to electrical components, code conversion, etc., can solve problems such as block effects and large reconstruction errors

Active Publication Date: 2015-07-15
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In view of the above technical problems, the technical problem to be solved by the present invention is to provide a signal reconstruction method based on block-based compressed sensing, which can simultaneously solve the block effect and reconstruction existing in the existing block-based compressed sensing signal processing system. Large structural error and two technical problems

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  • A signal reconstruction method based on block compressed sensing
  • A signal reconstruction method based on block compressed sensing
  • A signal reconstruction method based on block compressed sensing

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[0044] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0045] Such as figure 1 As shown, in the actual application process of a signal reconstruction method based on block compressed sensing designed by the present invention, it specifically includes the following steps:

[0046] Step 001. Collect the original signal x to be reconstructed, obtain the structured information of the original signal to be reconstructed, and according to the structured information, divide the original signal to be reconstructed on average to obtain each information sub-block x k , k∈{1,…,K}, K is the number of information sub-blocks obtained by the average division of the original signal x to be reconstructed.

[0047] Wherein, the original signal x to be reconstructed is a one-dimensional signal or a two-dimensional signal, when the original signal x to be reconstructed is a one-dimensional sig...

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Abstract

The invention relates to a signal reconstruction method based on block compressed sensing, which can be used for comprehensively and systematically designing signal sampling and phase reconstruction technology based on block compressed sensing from sampling, block optimizing and reconstitution respectively, wherein the design for each part is simple and efficient in consideration of practicability of systematic design at the same time; the designed signal reconstruction method based on block compressed sensing has the following advantages: (1) the method can save the space of a system; the design reduces the storage space needed by a measurement matrix via adopting a method of block compression, simultaneously compresses the block signal at a sampling end when sampling and reduces the complexity of the sampling end; (2) a proposed reconstruction algorithm is fast in reconstruction speed and strong in robustness, besides, a system effectively overcomes the shortcoming of blocking effect in the block compressed sensing.

Description

technical field [0001] The invention relates to a signal reconstruction method based on block compression sensing. Background technique [0002] The rapid development of information technology makes people's demand for information increasing day by day. The analogization of the real world and the digitization of signal processing determine that signal sampling becomes the only way to obtain signals from analog sources. The traditional Nyquist sampling theorem requires that the sampling rate must be more than twice the signal bandwidth in order to accurately reconstruct the signal. However, people's demand for information is gradually increasing, and the signal bandwidth of information is getting larger and larger, which makes the process of information acquisition, storage, fusion, processing and transmission under the guidance of this theory more and more difficult, and has become the main bottleneck for the further development of the current information field. one. [00...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 宋欢欢李雷杨真真郭青青
Owner NANJING UNIV OF POSTS & TELECOMM
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