Entdeckung sprunghafter Veränderungen der Parameter stochastischer Signale

A new procedure for segmenting quasi-stationary autoregressive signals is presented. When utilized with corresponding time-recursive algorithms such as a lattice parameter evaluation method, the method can segment an incoming signal in real time in stepwise fashion and can optimally locate the resulting segment boundaries. Experimental results on real and simulated signals demonstrate the efficiency of this method.