Optimal stoppage rules in algorithms for seguential quantization of continuous Markov processes

Sequential quantization of a continuous Gaussian process is discussed. The times of sampling are random and determined is compliance with a certain threshold rule. The proposed algorithm insures gain in the random number of samples with a specified accuracy of reproducing the message transmitted.