This paper describes the optimality of symbol by symbol filtering and denoising and considers the problem of optimally recovering a discrete-time valued stochastic process from a noisy observation process. For binary Markov input process singlet filtering and denoising are optimal. Finally, for the case of memoryless channel, large deviations performance of singlet filtering is obtained.