SAMP reconstructing method based on Haar wavelet tree
A wavelet tree and candidate set technology, applied in the field of heterogeneous networks, can solve the problems of occupying large bandwidth and affecting the efficiency of performance data transmission, etc., and achieve the effect of reducing running time, improving reconstruction accuracy and success probability
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[0038] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0039] figure 1 Shown is the compressed sensing processing process based on Haar wavelet transform of the present invention, and the processing flow of performance data in compressed sensing is:
[0040] (1) The collected performance data is decomposed into low-frequency components and high-frequency components through Haar wavelet multi-layer decomposition.
[0041] (2) Low-frequency components do not have sparsity, so no compression processing is performed. High-frequency components contain a large number of small values (that is, useless information), have sparsity, and can be processed by compressed sensing.
[0042] (3) The random Gaussian matrix is used as the measurement matrix to observe the high-freque...
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