The discrete wavelet transform has gained the reputation of being a very effective signal analysis tool for many practical applications. However, due to its computation-intensive nature, current implementations of the transform fall short of meeting real-time processing requirements of most applications. This paper describes a parallel implementation of the discrete wavelet transform and its in...

The Discrete Wavelet Transform (DWT) is one of the powerful signal processing tools. It has been effectively used in wide range of applications including image processing, speech analysis, pattern recognition and biometrics. Large amount of memory is required for storing the intermediate values for the implementation of Two Dimensional Discrete Wavelet Transform. Transposition Memory (TM) requi...

Satellite image is used in many applications such as geosciences studies, astronomy and geographical information systems. The most important quality factors in images come from its resolution. The satellite image enhancement technique using Discrete Wavelet Transform and Singular Value Decomposition. This Techniques decomposes the input image into four frequency sub band by using Discrete Wavel...

ـــ ـ Automatic signature verification is a wellestablished and an active area for research with numerous applications such as bank check verification, ATM access, etc. Most off-Line signature verification systems depend on pixels intensity in feature extraction process which is sensitive to noise and any scale or rotation process on signature image. This paper proposes an off-line handwritten ...

We give a brief review of some of the wavelet-based techniques currently available for the analysis of arbitrary-length discrete time series. We discuss the maximal overlap discrete wavelet packet transform (MODWPT), a non-decimated version of the usual discrete wavelet packet transform, and a special case, the maximal overlap discrete wavelet transform (MODWT). Using least-asymmetric or coifle...

Brainstem auditory evoked potentials (BAEP) are electrical potentials recorded in response to an auditory stimulus. Wavelet transform is adopted to extract the characteristic features of BAEP for interpretation and assessment. The results shows that there is significant difference (p<0.05) in the wavelet coefficients features in normal and abnormal BAEPs. Keywords— Brainstem Auditory Evoked pot...

In this paper, a watermarking algorithm that uses the wavelet transform with Multiple Description Coding (MDC) and Quantization Index Modulation (QIM) concepts is introduced. Also, the paper investigates the role of Contourlet Transform (CT) versus Wavelet Transform (WT) in providing robust image watermarking. Two measures are utilized in the comparison between the waveletbased and the contourl...

Many transform based image compression methods have been experimented till now. This paper proposes novel image compression method using hybrid slant transform. Slant transform is used as base transform to focus on global features of an image. Sinusoidal orthogonal transforms like DCT, DST, Hartley and Real-DFT are paired with slant transform to generate hybrid slant wavelet transform. Performa...

The proliferation of digital audio file is costing loss of revenue to the owner of copyright information especially in the music industry. The paper brings to view works done by various on digital audio watermarking and using discrete wavelet transform (DWT) and discrete cosine transform (DCT) with chaotic watermarking towards carrying out investigation for real life application.