Non-stationary signals are partitioned into near stationary segments using a modified Appel and Brandt algorithms. The modification requires two spectral distance measures to be used to produce an algorithm which is insensitive to changes in signal energy level which are irrelevant in this application. Performance on real and simulated data is presented. Segmentation has been used to provide an estimator of the evolution spectrum and an application to a noisy communication signal is presented
