3 Jason Laska Sami Kirolos Yehia Massoud Richard Baraniuk Anna Gilbert Mark Iwen Martin Strauss 2006 IEEE Dallas Circuits and Systems Workshop (DCAS) Dallas, TX 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. http://www.ece.rice.edu/~jnl5066/papers/DCAS2006_spgram.pdf