Signal decomposition methods like Wavelet Transform (WT) have been widely used in a large set of applications such as image, speech and biomedical signal processing, reporting good results. In this paper, two versions of the WT are analyzed: the Discrete Wavelet Transform (DWT) and the Wavelet Packets (WP). The DWT is implemented by means of a filter bank with a fixed structure that provides a ...

The research aimed to introduce newly designed features for speech signal. The newly developed features are designed to normalize the dynamic structure of best tree decomposition of wavelet packets. The 4 points encoded vector is a full of information just like the original best tree’s structure. It is a loss less encoding system that grantees 100% reconstruction of the original best tree. The ...

In this paper we evaluate a lightweight encryption scheme for JPEG2000 which relies on a secret transform domain constructed with anisotropic wavelet packets. The pseudo-random selection of the bases used for transformation takes compression performance into account, and discards a number of possible bases which lead to poor compression performance. Our main focus in this paper is to answer the...

In this paper, we present a novel watermarking scheme to ensure the authenticity of digital images. Our authentication technique is able to detect malicious tampering of images even if they have been incidentally distorted by basic image processing operations. The image protection is achieved by the insertion of a secret author’s identification key in the image wavelet coefficients by their sel...

The paper proposes a new iris coding method based on Zak-Gabor wavelet packet transform. The essential component of the iris recognition methodology design is an effective adaptation of the transformation parameters that makes the coding sensitive to the frequencies characterizing ones eye. We thus propose to calculate the between-to-within class ratio of weakly correlated Zak-Gabor transformat...

We introduce a novel, adaptive image representation using spatially varying wavelet packets (WPs), Our adaptive representation uses the fast double-tree algorithm introduced previously (Herley et al., 1993) to optimize an operational rate-distortion (R-D) cost function, as is appropriate for the lossy image compression framework. This involves jointly determining which filter bank tree (WP freq...

Advances in digital signal processing and microelectronics have led to the development of superior digital hearing aids for ameliorating severe defects of hearing. The progress in field programmable gate arrays (FPGA) technology, especially for miniaturized system applications, allowed increasing sophisticated features to be built for better sound reproduction, keeping small size and low power ...

State of the art dimension reduction and classification schemes in multiand hyper-spectral imaging rely primarily on the information contained in the spectral component. To better capture the joint spatial and spectral data distribution we combine the Wavelet Packet Transform with the linear dimension reduction method of Principal Component Analysis. Each spectral band is decomposed by means of...