A Non-Uniform Sampler for Wideband Spectrally-Sparse Environments

I generally try to make place for implementation first (one entry per implementations) and then I also try to do the same for hardware instances of compressive sensing. This is such entry today, enjoy:

A Non-Uniform Sampler for Wideband Spectrally-Sparse Environments by Michael Wakin, Stephen Becker, Eric Nakamura, Michael Grant, Emilio Sovero, Daniel Ching, Juhwan Yoo, Justin Romberg, Azita Emami-Neyestanak, Emmanuel Candes. The abstract reads:

We present the first custom integrated circuit implementation of the compressed sensing based non-uniform sampler (NUS). By sampling signals non-uniformly, the average sample rate can be more than a magnitude lower than the Nyquist rate, provided that these signals have a relatively low information content as measured by the sparsity of their spectrum. The hardware design combines a wideband Indium-Phosphide (InP) heterojunction bipolar transistor (HBT) sample-and-hold with a commercial off-the-shelf (COTS) analog-to-digital converter (ADC) to digitize an 800 MHz to 2 GHz band (having 100 MHz of non-contiguous spectral content) at an average sample rate of 236 Msps. Signal reconstruction is performed via a non-linear compressed sensing algorithm, and an efficient GPU implementation is discussed. Measured bit-error-rate (BER) data for a GSM channel is presented, and comparisons to a conventional wideband 4.4 Gsps ADC are made.

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