We present a new method for estimation of spectrum transition of a nonstationary signals in low signal-to-noise ratio cases. Instead of basic functions which are employed by the previously proposed time-varying AR modeling, we introduce the spectrum transition constraint in the cost function described by the partial correlation coefficients so that the method is applicable to noisy nonstationary signals of which spectrum transition patterns are complex. By applying this method to the analysis of vibration signals on the interventricular septum of the heart, noninvasively measured by the method developed in our laboratory using ultrasonics, spectrum transition pattern is clearly obtained during one beat period for a normal individual and a patient.
|Number of pages
|Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
|Published - 1997
|Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger
Duration: 1997 Apr 21 → 1997 Apr 24