Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform analyses on the boundaries of textures. Herein, we tackle these problems within a consistent probabilistic framework. Starting from a probability distribution on the space of infinite images, we generate a distribution...

Wavelet packet-division multiplexing (WPDM) is a high-capacity, flexible, and robust multiple-signal transmission technique in which the message signals are waveform coded onto wavelet packet basis functions for transmission. In this letter, we derive an expression for the probability of error for a WPDM scheme in the presence of both impulsive and Gaussian noise sources and demonstrate that WP...

In this work we describe and analyze algorithms for 2-D wavelet packet decomposition for MIMD distributed memory architectures. We discuss two different approaches: On the one hand algorithms generating the entire wavelet packet subband structure (as required for adaptive applications), on the other hand algorithms generating the lowest subband level only (as required for numerical applications...

Recent studies suggest that multicarrier systems using wavelets outperform conventional OFDM systems using the FFT, in that they have well-contained side lobes, improved spectral efficiency and BER performance, and they do not require a cyclic prefix. Here we study the wavelet packet and discrete wavelet transforms, comparing the BER performance of wavelet transform-based multicarrier systems a...

A novel compression algorithm incorporating the near-best wavelet packet transform is introduced for multi-modal signals in low bitrate telemonitoring applications. The method permits flexible control of the total bitrate subject to the constraints of the channel, and the allocation of the total bitrate to each of the constituent modes subject to the quality preferences of the observer. Its per...

Wavelet packet functions provide a new class of orthogonal expansions in L(R) and comprise a rich family of building block functions, localized in time and offer more flexibility than wavelets in representing different types of signals. It is a simple, but very powerful extension of wavelets and multiresolution analysis (MRA). The power of wavelet packet lies in the fact that we have much more ...

In attempt to enhance the discrimination ability of present speaker verification systems, we study alternative ways for parameterization of human voice. Utilizing the flexibility provided by wavelet packet analysis, and rendering an account of the most recent psycho-acoustical studies, the authors investigate in an objective way the relative importance of constituent disjoint frequency subbands...