A Note on Sampling of Signal and Partially Correlated Noise

摘要

Signal-to-noise improvement in sampled data systems is a function of the number of samples and the degree of correlation of signal and noise samples. This correspondence demonstrates the power of the autocorrelation function in establishing the effectiveness of digital filtering, and provides a method for determining signal-to-noise improvement factors.