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Random demodulation provides a hardware-compact architecture for realizing compressive sensing systems. A random demodulator is realized by a mixer, with a random signal as the oscillator, and a low pass filter. In order to recover the original signal from the compressive sensing measurements, accurate modeling of the hardware components is needed. Typically, the reconstruction model assumes the low...
Memristors promise to allow high levels of compaction in computing systems because these elements combine memory and switching functionality. This can be utilized to overcome some of the hardware challenges in compressive sensing architectures. In this paper, we propose a compressive sensing system architecture that uses a memristor-based random modulator. The gains of using such a memristor-based...
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