Derives an exact formula for the expected reconstruction error energy in compressive sensing under quantization of measurements with arbitrary bit precision, incorporating both quantization noise and approximate sparsity.
Greedy sparse signal reconstruction from sign mea- surements,
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Quantization in Compressive Sensing: A Signal Processing Approach
Derives an exact formula for the expected reconstruction error energy in compressive sensing under quantization of measurements with arbitrary bit precision, incorporating both quantization noise and approximate sparsity.