Analysis-by-synthesis-based quantization of compressed sensing measurements
A Shirazinia, S Chatterjee… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013•ieeexplore.ieee.org
We consider a resource-constrained scenario where a compressed sensing-(CS) based
sensor has a low number of measurements which are quantized at a low rate followed by
transmission or storage. Applying this scenario, we develop a new quantizer design which
aims to attain a high-quality reconstruction performance of a sparse source signal based on
analysis-by-synthesis framework. Through simulations, we compare the performance of the
proposed quantization algorithm vis-a-vis existing quantization methods.
sensor has a low number of measurements which are quantized at a low rate followed by
transmission or storage. Applying this scenario, we develop a new quantizer design which
aims to attain a high-quality reconstruction performance of a sparse source signal based on
analysis-by-synthesis framework. Through simulations, we compare the performance of the
proposed quantization algorithm vis-a-vis existing quantization methods.
We consider a resource-constrained scenario where a compressed sensing- (CS) based sensor has a low number of measurements which are quantized at a low rate followed by transmission or storage. Applying this scenario, we develop a new quantizer design which aims to attain a high-quality reconstruction performance of a sparse source signal based on analysis-by-synthesis framework. Through simulations, we compare the performance of the proposed quantization algorithm vis-a-vis existing quantization methods.
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