A cognitive radio architecture based on sub-Nyquist sampling

Dennis Wieruch; Volker Pohl

doi:10.1109/dyspan.2011.5936249

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JOURNAL ARTICLE

A cognitive radio architecture based on sub-Nyquist sampling

Dennis Wieruch Volker Pohl

Year: 2011 Vol: 97 Pages: 576-585

DOI: 10.1109/dyspan.2011.5936249

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Abstract

S.576-585

Keywords:

Baseband Computer science Nyquist–Shannon sampling theorem Nyquist rate Bandwidth (computing) Anti-aliasing filter Electronic engineering Digital down converter Sampling (signal processing) Software-defined radio Digital signal processing Oversampling Cognitive radio Filter bank Digital filter Nyquist frequency Signal processing Frequency domain Filter (signal processing) Digital signal Telecommunications Computer hardware Root-raised-cosine filter Engineering Wireless

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Topics

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Cognitive Radio Networks and Spectrum Sensing

Physical Sciences → Computer Science → Computer Networks and Communications

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

A cognitive radio architecture based on sub-Nyquist sampling

Abstract

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Citation History

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