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Research on Implementation of Compressive Sensing

Author: WangBaoGui
Tutor: ZhaoRuiZhen
School: Beijing Jiaotong University
Course: Pattern Recognition and Intelligent Systems
Keywords: Compressed sensing Sparse representation Sensing matrix Non-uniform sampling Analog - information conversion
CLC: TP212
Type: Master's thesis
Year: 2009
Downloads: 1895
Quote: 10
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Abstract


Traditional analog signal requires twice the highest frequency in excess of the rate of sampling signal , which is the processing time and storage space are a waste. Newly born Compressed sensing theory for sparse signal characteristics , in the process of signal acquisition on the signal compression to achieve a signal acquisition mode an innovation. Due to the current field of compressed sensing work has focused on the sensor matrix and reconstruction algorithm performance analysis and optimization , and implementation methods for compressed sensing research is still in its infancy, which also resulted in theoretical research and practical applications of touch and are not synchronized. Building hardware -friendly compressed sensing for analog signals compressed sensing approach is a key step in the process of physical implementation , but also the compressed sensing theory to practical application of the essential aspects of this stage need to carry out this study and research for the this specific problem do the following aspects : 1. proposed a class suitable for compressed sensing signal preprocessing manner that is conducive fast signal sensing and exact reconstruction . (2) research and realized based on AIC (analog-information-conversion) system, compressed sensing process . Compressed sensing theory as the basis for the entire process using formulas derived by way of a demonstration, and through a more precise description of the physical parameters to improve system performance, further synthesized signal acquisition system for the AIC values ??reconstructed matrix form while simulation of the entire compressed sensing process . 3 According to the specific requirements of the sensing matrix , starting from the Hadamard matrix construct sensing matrix gives a Hadamard matrix based on stochastic simulation of compressed sensing structure , and simply demonstrates the feasibility of the structure .

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