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A novel algorithm for detecting compressed signals in low Signal-Noise-Ratio (SNR) without signal reconstruction is proposed in this letter. When signals are projected in a sparse domain, the sparse vector with fixed position of non-zero elements is obtained and the non-zero elements obey Rician distribution. However, additive white Gaussian noise (AWGN) is not sparse in this transformed domain, and...
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