We develop a framework for analog-to-information conversion that enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. The first component of the framework is a random sampling system that can be implemented in practical hardware. The second is an efficient information recovery algorithm to compute the spectrogram of the signal, which we dub the sparsogram. A simulated acquisition of a frequency hopping signal operates at 33x sub-Nyquist average sampling rate with little degradation in signal quality. ©2006 IEEE.
|Original language||English (US)|
|Title of host publication||2006 IEEE Dallas/CAS Workshop onDesign, Applications, Integration and Software, DCAS-06|
|Number of pages||4|
|State||Published - Dec 1 2006|