Joint Source-Channel Vector Quantization for Compressed Sensing

@article{Shirazinia2014JointSV,
  title={Joint Source-Channel Vector Quantization for Compressed Sensing},
  author={Amirpasha Shirazinia and Saikat Chatterjee and Mikael Skoglund},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={3667-3681}
}
We study joint source-channel coding (JSCC) of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a framework for realizing optimum JSCC schemes that enable encoding and transmitting CS measurements of a sparse source over discrete memoryless channels, and decoding the sparse source signal. For this purpose, the optimal design of encoder-decoder pair of a VQ is considered, where the optimality is addressed by minimizing end-to-end mean square error (MSE). We derive a… CONTINUE READING