A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Analysis-by-Synthesis Quantization for Compressed Sensing Measurements
2013
IEEE Transactions on Signal Processing
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,
doi:10.1109/tsp.2013.2280445
fatcat:puvyhuaeb5dfhlono5q3crctqa