Signal reconstruction method of body sensor network with spatio-temporal correlation characteristics
A spatiotemporal correlation and signal reconstruction technology, applied in electrical components, code conversion, etc., can solve the problems of low reconstruction accuracy and the inability of compressed sensing reconstruction methods to fully utilize the prior knowledge of spatial and temporal correlation features.
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[0068] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0069] In order to achieve the purpose of the present invention, as Figure 1-3 As shown, in some implementations of the body sensor network signal reconstruction method with spatiotemporal correlation characteristics of the present invention, it includes the following implementation steps:
[0070] Step 1. Assume that the raw data collected by multiple sensors in the body sensor network is The random measurement matrix is The compressed data is Wherein, L is the number of sensors in the body sensor network, N is the original data length collected by each sensor, and M is the compressed data length;
[0071] Step 2. Assuming that there is synchronization (block consistency) among multiple sensors in the body sensor network, it can be represented by a JSM-2 joint sparse model, that is, X can be represented by blocks as
[0072]
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