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Signal decomposition-based compression perception processing and signal reconstruction method

A compressed sensing and signal decomposition technology, applied in electrical components, code conversion, etc., can solve problems such as the inability of compressed sensing to be applied, and achieve the effect of ensuring real-time requirements, efficient compression, and improving processing efficiency

Inactive Publication Date: 2015-04-01
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

For example, for a sparse signal with a large amount of data in a non-zero data set, if continuous segment processing is used, sub-signals with coefficients all zero or all non-zero may appear, making compressed sensing impossible to apply

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  • Signal decomposition-based compression perception processing and signal reconstruction method
  • Signal decomposition-based compression perception processing and signal reconstruction method
  • Signal decomposition-based compression perception processing and signal reconstruction method

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Embodiment Construction

[0044] In order to make the purpose, technical means and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings.

[0045] In the compressed sensing method provided by this application, firstly, the acquired sparse signal is segmented, and the segmentation method is to extract signal points from the sparse signal at equal intervals to form sub-signals; then, each sub-signal is subjected to compressed sensing processing, and the obtained Each observation vector is transmitted to the receiver. The receiving end reconstructs the received observation vectors separately, and reassembles all the reconstructed vectors according to the sampling interval of the sending end to form a reconstructed sparse signal. Among them, the sampling interval of the sender is L is the length of each sub-signal set, and N is the length of the sparse signal.

[0046] Through the signal segmentation...

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Abstract

The invention discloses a signal decomposition-based compression perception processing method. The method comprises the following steps of acquiring a sparse signal; extracting signal points at equal intervals from the sparse signal to form R sub signals, wherein R is equal to N / L, L is set length of each sub signal, and N is the length of the sparse signal; performing compression perception processing on each sub signal by using an observation matrix to obtain the observation vector of each sub signal, and transmitting the observation vector to a receiving terminal. By applying the method provided by the invention, the signal with large data volume can be subject to effective compression perception processing and signal reconstruction, and the method is not constrained by signal data structure.

Description

technical field [0001] The present application relates to digital signal compression processing technology, in particular to a signal decomposition-based compressive sensing processing and signal reconstruction method. Background technique [0002] With the rapid development of modern information technology, people's demand for information is increasing, and the amount of data that needs to be processed is also increasing. One of the most common and important tasks in the signal processing process is how to compress the signal and process the compressed signal, such as signal detection, feature extraction, decoding and reconstruction, etc. In many practical situations, people's demand for information increases, and the frequency and bandwidth of the signal carried are getting higher and higher. According to the Nyquist sampling theorem, a huge amount of sampling data will inevitably be generated, so that the sampling of the hardware, Handling and storage can be stressful. ...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 王海婴韦泰丞孟青张阳
Owner BEIJING UNIV OF POSTS & TELECOMM
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