Analysis-by-Synthesis Quantization for Compressed Sensing Measurements

@article{Shirazinia2013AnalysisbySynthesisQF,
  title={Analysis-by-Synthesis Quantization for Compressed Sensing Measurements},
  author={Amirpasha Shirazinia and Saikat Chatterjee and Mikael Skoglund},
  journal={IEEE Transactions on Signal Processing},
  year={2013},
  volume={61},
  pages={5789-5800}
}

• Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
• Published 2013 in IEEE Transactions on Signal Processing
• DOI:10.1109/TSP.2013.2280445

We consider a resource-limited scenario where a sensor that uses compressed sensing (CS) collects a low number of measurements in order to observe a sparse signal, and the measurements are subsequently quantized at a low bit-rate followed by transmission or storage. For such a scenario, we design new algorithms for source coding with the objective of achieving good reconstruction performance of the sparse signal. Our approach is based on an analysis-by-synthesis principle at the encoder… CONTINUE READING

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