The method on compression sampling and reconstruction of test signal

For solving the problem on feature extraction of test signal in high-dimensional space, the compression sampling and reconstruction method based on sparse signal is presented here. Test signal is denoted with sparse representation in specific transform domain, the observation matrix which is unrelated to transform-based is constructed for compressed sampling, Data dimension reduction and signal feature extraction are completed simultaneously, and these discrete data can reconstruct the test signal in compression domain by norm optimization technology perfectly. An illustration verify this method finally.