An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment

An analysis of signal reconstruction possibility using a small set of samples corrupted by noise is considered. False detection and/or misdetection of sparse signal components may occur as a twofold influence of noise: one is a consequence of missing samples, while the other appears from an external...

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Veröffentlicht in:	Signal processing 2014-11, Vol.104, p.43-50
Hauptverfasser:	STANKOVIC, Srdjan, OROVIC, Irena, STANKOVIC, Ljubiša
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Blinds Compressive sensing Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Missing samples Noise Noise threshold Permissible error Reconstruction Sampling, quantization Signal and communications theory Signal reconstruction Signal reconstruction algorithms Signal, noise Spectra Telecommunications and information theory Thresholds
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