SIGNAL SEPARATING METHOD FOR RESTORING ORIGINAL SIGNAL FROM OBSERVATION DATA, SIGNAL PROCESSOR, MOBILE TERMINAL UNIT AND STORAGE MEDIUM

摘要

PROBLEM TO BE SOLVED: To stably separate and extract an original signal from more than one signals by a few calculation steps when the signals in a mixed state are observed.;SOLUTION: A function having a monotonous increase characteristic such as an index function is introduced as an evaluating function and the signal is separated by applying an adaptive algorism for minimizing the evaluating function for a signal separation matrix. That is, a signal processor separates the original signal from an observation signal x(t) and outputs it. A non-linear function 21 works with respect to the inputted observation signal x(t) and an estimated separation matrix W(t-1) which is estimated in a preceding cycle and a differential signal e(t) is calculated (22) based on a value y(t) generated by the non-linear function 21, the estimated separation matrix W(t) and the observation signal x(t) at this time. Differential evaluation is weighted by the evaluating function having the monotonous increase characteristic based on the calculated differential signal e(t) and, then, the separation matrix W(t) at that time is updated (23).;COPYRIGHT: (C)2002,JPO