Approximating the SNR value in detection problems

The inverse problem of finding the required signal-to-noise ratio (SNR) given a set of probability parameters and number of samples is a nontrivial problem. Several past attempts have proposed simple approximations for the SNR, but the achieved accuracy varied across the parameter space and was at times poor. The approximation equations proposed here are considerably more accurate over a larger parameter space.