Abstract :
Optimum demodulation of frequency-modulated Gaussian signals in the presence of Gaussian noise is considered. A sampled-data approach, rather than a Karhunen-Loéve expansion, is employed to reduce the problem to one of finite dimensions. The derivation is based on maximizing the a posteriori probability density.
