Compression-Based Compressed Sensing

@article{Rezagah2017CompressionBasedCS,
  title={Compression-Based Compressed Sensing},
  author={Farideh Ebrahim Rezagah and Shirin Jalali and Elza Erkip and H. Vincent Poor},
  journal={IEEE Transactions on Information Theory},
  year={2017},
  volume={63},
  pages={6735-6752}
}
Modern compression codes exploit signals’ complex structures to encode them very efficiently. On the other hand, compressed sensing algorithms recover “structured” signals from their under-determined set of linear measurements. Currently, there is a noticeable gap between the types of structures used in the area of compressed sensing and those employed by state-of-the-art compression codes. Recent results in the literature on deterministic signals aim at bridging this gap through devising… CONTINUE READING
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