Corpus ID: 10168654

Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing

@article{Jacques2013QuantizedIH,
  title={Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing},
  author={L. Jacques and K{\'e}vin Degraux and C. D. Vleeschouwer},
  journal={ArXiv},
  year={2013},
  volume={abs/1305.1786}
}
  • L. Jacques, Kévin Degraux, C. D. Vleeschouwer
  • Published 2013
  • Mathematics, Computer Science
  • ArXiv
  • In this work, we show that reconstructing a sparse signal from quantized compressive measurement can be achieved in an unified formalism whatever the (scalar) quantization resolution, i.e., from 1-bit to high resolution assumption. This is achieved by generalizing the iterative hard thresholding (IHT) algorithm and its binary variant (BIHT) introduced in previous works to enforce the consistency of the reconstructed signal with respect to the quantization model. The performance of this… CONTINUE READING
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