engleski

A system for compressive sensing of analog signals

We propose a system for compressive sensing of analog signals based on the front-end that mixes the input signal of some statistical distribution with eigenvectors obtained by principal component analysis. The signal is reconstructed by mapping it back with the transpose of the measurement matrix. Instead of computationally complex, time consuming solving of the l1 optimization problem, the signal is recovered only by the multiplications which are perfecty suited for embedded devices. We present an acquisition system consisting of the proposed front-end and a back-end that is realized on the Zynq-7000 System-on-Chip.

signal sampling and reconstruction, embedded system compressed sensing, principal component analysis

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