Análise da influência do ruído no desempenho de conversores analógico para informação.

Abstract

Compressive sampling is a scanning technique that exploits the sparsity of the signal in a particular domain to capture only its information content, with an acquisition rate lower than the Nyquist rate. The analogue information converter (AIC) uses the principle of Compressive Sampling for its implementation. The AIC has a very degraded performance in the presence of noise. In order to approximate a simulated AIC to the real-world Simulink / MATLAB environment, the addition of noise was done in this work. For this purpose Gaussian noise was chosen to be added to the input signal. It was verified that when adding noise in the simulation, the signal-to-noise and distortion ratio (SINAD) decreases with increasing noise power.