Optimum Signal Filtering in Asynchronous Address Communication System with TFSK and Internal Noise

Markov theory of optimum nonlinear filtering in the Gaussian approximation is used to solve the problem of optimum signal filtering in asynchronous address communication systems with TFSK and internal noise. The useful signal is considered in conjunction with discrete pulse noise that approximates internal noise, and stationary white noise. Messages to be transmitted are represented by components of two-dimensional continuous Markov processes.