Signal representation using adaptive parallel mixed transform techniques
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 239-242
- https://doi.org/10.1109/mwscas.1995.504422
Abstract
Transform based signal representations are central to lossy compression methods. Since most signals of interest contain both narrow and broad band frequency components, mixed transform techniques can frequently provide more efficient representations of such signals than individual transforms. This paper presents a new adaptive parallel mixed transform technique for signal representation. Formulations are derived, algorithms are described and results of simulations applied to speech signals are presented. Excellent performance is achieved with much less computation than required by existing mixed transform techniques, making real-time implementations feasible.Keywords
This publication has 3 references indexed in Scilit:
- Application of multitransforms for lossy image representationIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1994
- Accurate representation of time-varying signals using mixed transforms with applications to speechIEEE Transactions on Circuits and Systems, 1989
- Adaptive filters with individual adaptation of parametersIEEE Transactions on Circuits and Systems, 1986