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Compressed sensing with quantized measurements
Signals gaussian noise interval value differentiable convex function
2015/8/7
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
The Restricted Isometry Property and Its Implications for Compressed Sensing
Restricted Isometry Property Compressed Sensing
2015/6/17
It is now well-known that one can reconstruct sparse or compressible signals accurately from a very limited number of measurements, possibly contaminated with noise. This technique known as “compresse...
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
Compressed Sensing with Coherent and Redundant Dictionaries
Compressed Sensing Coherent and Redundant Dictionaries
2015/6/17
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or incoherent dictionary...
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
Compressed sensing Indium-Phosphide Parameter Estimation Random-Modulation Pre-Integration
2015/6/17
In this paper we present a complete (hardware/software) sub-Nyquist rate (×13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 ...