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Spectrum sensing using sub-nyquist rate sampling
Zahid Saleem
,
Samir Al-Ghadhban
Department of Electrical Engineering
Interdisciplinary Research Center for Communication Systems and Sensing
Research output
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Conference article
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peer-review
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Engineering
Sensing Mechanisms
100%
Compressed Sensing
100%
Nyquist Rate
100%
Algorithm
66%
Frequency Band
33%
Frequency Spectrum
33%
Sparse Signal
33%
Sensing Algorithm
33%
Estimation
33%
Recovery
33%
Compressive Sensing
33%
Performance
33%