Title :
Spectral-temporal decomposition of multicomponent signals
Author :
Assaleh, K.T. ; Mammone, R.J.
Author_Institution :
Center for Comput. Aids for Industrial Productivity Rutgers Univ., Piscataway, NJ, USA
Abstract :
The method is based on autoregressive modeling of the composite signal with an adaptive filter bank. An illustrative example is given for a speech signal
Keywords :
adaptive filters; filtering and prediction theory; speech analysis and processing; time-frequency analysis; adaptive filter bank; autoregressive modeling; multicomponent signals; spectra-temporal decomposition; speech signal; Adaptive filters; Bandwidth; Computer industry; Equations; Filter bank; Frequency estimation; Polynomials; Productivity; Speech; Time frequency analysis;
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246813
