Optimizing quantization for Lasso recovery.
IEEE Signal Processing Letters(2018)
摘要
This letter is focused on quantized compressed sensing, assuming that Lasso is used for signal estimation. Leveraging recent work, we propose a constrained Lloyd-Max-like framework to optimize the quantization function in this setting, and show that when the number of observations is high, this method of quantization gives a significantly better recovery rate than standard Lloyd-Max quantization. ...
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关键词
Quantization (signal),Standards,Compressed sensing,Estimation,Error analysis,Reconstruction algorithms,Optimization
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