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Wavelet Compressive Sampling Signal Reconstruction Using Upside-Down Tree Structure

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  • Yijiu Zhao
  • Xiaoyan Zhuang
  • Zhijian Dai
  • Houjun Wang

Abstract

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.

Suggested Citation

  • Yijiu Zhao & Xiaoyan Zhuang & Zhijian Dai & Houjun Wang, 2011. "Wavelet Compressive Sampling Signal Reconstruction Using Upside-Down Tree Structure," Mathematical Problems in Engineering, Hindawi, vol. 2011, pages 1-10, December.
    • Handle: RePEc:hin:jnlmpe:606974
    DOI: 10.1155/2011/606974
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