Compressed sensing of complex-valued data

Compressed sensing (CS) is a recently proposed technique that allows the reconstruction of a signal sampled in violation of the traditional Nyquist criterion. It has immediate applications in reduction of acquisition time for measurements, simplification of hardware, reduction of memory space requir...

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Veröffentlicht in:	Signal processing 2012-02, Vol.92 (2), p.357-362
Hauptverfasser:	Yu, Siwei, Shaharyar Khwaja, A., Ma, Jianwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amplitudes Applied sciences Compressed Compressed sensing Data storage Detection Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image processing Image reconstruction Imaging Information theory Information, signal and communications theory Reconstruction Reduction Sampling, quantization Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Terahertz imaging
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