Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scien ....etc

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The biggest obstacle to the multimedia revolution is digital obesity. This is the blot that occurs when pictures, sound and video are converted from their natural analog form into computer language for manipulation or transmission. In the present explosion of high quality data, the need to compress it with less distortion of data is the need of the hour. Compression lowers the cost of storage and transmission by packing data into a smaller space. One of the hottest areas of advanced form of compression is wavelet compression. Wavelet Video ....etc

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Audio Compression Using a Munich and Cambridge Morlet Wavelet

khalil Abid and Kais Ouni
Laboratory of Systems and Signal Processing (LSTS)
National Engineering School of Tunis
ENIT, BP 37, Le Belv´edere 1002, Tunis, Tunisia



Abstract—

Most psycho-acoustic models for coding applications
use a uniform (equal bandwidth) spectral decomposition
as a first step to approximate the frequency selectivity of the
human auditory system. However, the equal filter properties
of the uniform sub- b ....etc

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An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet

Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pa ....etc

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Introduction

Wavelet transforms have been one of the important signal processing developments in the last decade, especially for the applications such as time-frequency analysis, data compression, segmentation and vision. During the past decade, several efficient implementations of wavelet transforms have been derived. The theory of wavelets has roots in quantum mechanics and the theory of functions though a unifying framework is a recent occurrence. Wavelet analysis is performed using a prototype function called a wavelet.

Wavelets are ....etc

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i need code matlab for discrete wavelet transform for eeg signal, can anyone help me?
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Introduction

Uncompressed multimedia data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass storage density processor speeds and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive multimedia-based web applications have not only sustained the need for more efficient ways to encode signals and images but have made compression of such signal ....etc

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