Wavelet Compressive Sampling Signal Reconstruction Using Upside-Down Tree Structure
نویسندگان
چکیده
This paper suggests an upside-down tree-based orthogonal matching pursuit UDT-OMP compressive sampling signal reconstruction method in wavelet domain. An upside-down tree for the wavelet coefficients of signal is constructed, and an improved version of orthogonal matching pursuit is presented. The proposed algorithm reconstructs compressive sampling signal by exploiting the upside-down tree structure of the wavelet coefficients of signal besides its sparsity in wavelet basis. Compared with conventional greedy pursuit algorithms: orthogonal matching pursuit OMP and tree-based orthogonal matching pursuit TOMP , signal-to-noise ratio SNR using UDT-OMP is significantly improved.
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