The Rake receiver for wavelet video compression with four levels of unequal error protection (UEP) codes in wide-band code division multiple access (W-CDMA) system over additive white Gaussian noise (AWGN) and Rayleigh fading channels are performed and evaluated. The deployment of Wavelets has approached a powerful technique for compressing video sequence. The wavelet transform compression tech...

This paper describes the implementation and performance evaluation of three noise estimation algorithms using two different signal decomposition methods: a second-generation wavelet transform and a perceptual wavelet packet transform. These algorithms, which do not require the use of a speech activity detector or signal statistics learning histograms, are: a smoothing-based adaptive technique, ...

T. Figlus, M. Stańczyk, The Silesian University of Technology, Faculty of Transport, Katowice, Poland The paper presents research aimed at diagnosing early cases of wear of gears tooth surface in the gearbox based on measurements of vibration signals and their processing using the wavelet packet transform. Analysis concerned the vibration signals recorded in a test bench experiment, during whic...

Kirchhoo migration operator is a highly oscillatory integral operator. In our previous work (see \Seismic Imaging in Wavelet Domain", Wu and Yang 1], 1997), we have shown that the matrix representation of Kirchhoo migration operator for homogeneous background in space-frequency domain is a dense matrix, while the compressed beamlet-operator, which is the wavelet decomposition of the Kirchhoo mi...

The implementation of three noise estimation algorithms using two different signal decomposition methods: a second-generation wavelet transform and a perceptual wavelet packet transform are described in this paper. The algorithms, which do not require the use of a speech activity detector or signal statistics learning histograms, are: a smoothing-based adaptive technique, a minimum variance tra...

A fast rate-distortion (R-D) optimized wavelet packet (WP) transform is proposed for image compression in this research. By analyzing the R-D performance of the quantizer and the entropy coder, we show that the coding distortion D can be modeled as an exponentially decaying function as the coding rate R increases. With this exponential R-D model, it is proved that the constant R-D slope criteri...

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...

In this paper we present orthogonal overlapped block transforms as a frame synchronized signal analysis tool with the capability of arbitrary multiresolution time-spectral decomposition of speech signals. Our prime interest is in the representation of nonstationary discrete-time signals in terms of wavelet packets, and we concentrate on their fast transform algorithms. Wavelet packet representa...

A two dimensional discrete wavelet transform hardware design based on canonic signed digit (CSD) architecture is presented in this paper. We have proposed canonic signed digit (CSD) arithmetic based design for low complexity and efficient implementation of discrete wavelet packet transform. Canonic signed digit (CSD) technique has been applied to reduce the number of full adders required by 2’s...

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 ...