Title :
Wavelet representations and coding of self-affine signals
Author :
Malassenet, François J. ; Mersereau, Russell M.
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A novel model for one-dimensional signal analysis, called a weighted multiresolution process (WiMP), is introduced. The model combines the scale and time-frequency localization properties of the wavelet representation with the self-affine characteristics of signals to be modeled. A WiMP can be viewed as a Markov chain of weighted translations between levels of the wavelet decomposition. Both aperiodic and periodic signals are investigated, and the corresponding decomposition/reconstruction algorithms are presented
Keywords :
encoding; signal processing; Markov chain; aperiodic signals; coding; decomposition/reconstruction algorithms; model; one-dimensional signal analysis; periodic signals; self-affine signals; wavelet decomposition; wavelet representation; weighted multiresolution process; weighted translations; Band pass filters; Contracts; Equations; Finite impulse response filter; Reconstruction algorithms; Signal analysis; Signal generators; Signal resolution; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150430
