Title :
The continuous wavelet transform as a maximum entropy solution of the corresponding inverse problem
Author :
Rebollo-Neira, Laura ; Fernandez-Rubio, Juan
Author_Institution :
Dept. de Fisica, Univ. Nacional de La Plata, Argentina
fDate :
7/1/1999 12:00:00 AM
Abstract :
The continuous wavelet transform is obtained as a maximum entropy solution of the corresponding inverse problem. It is well known that although a signal can be reconstructed from its wavelet transform, the expansion is not unique due to the redundancy of continuous wavelets. Hence, the inverse problem has no unique solution. If we want to recognize one solution as “optimal”, then an appropriate decision criterion has to be adopted. We show here that the continuous wavelet transform is an “optimal” solution in a maximum entropy sense
Keywords :
inverse problems; maximum entropy methods; signal reconstruction; statistical analysis; wavelet transforms; continuous wavelet transform; decision criterion; inverse problem; maximum entropy solution; optimal solution; signal reconstruction; statistical description; Continuous wavelet transforms; Convergence; Entropy; Interpolation; Inverse problems; Programmable control; Signal processing algorithms; Uncertainty; Wavelet transforms; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on