Adaptive Model for Nonstationary Sources
Original Publication Date: 1986-Jun-01
Included in the Prior Art Database: 2005-Mar-09
A method is described for adaptively estimating the probability of occurrence of a symbol from a binary nonstationary source. The method comprises the steps of (1) assigning an initial value to said probability; and (2) updating said probability value at the occurrence of each symbol, the updating being dependent on a combination of the occurred symbol and a Monte Carlo function.