Non-stationary signal processing applications use standard non-redundant DWT (Discrete Wavelet Transform) which is very powerful tool. But it suffers from shift sensitivity, absence of phase information, and poor directionality. To remove out these limitations, many researchers developed extensions to the standard DWT such as WP (Wavelet Packet Transform), and SWT (Stationary Wavelet Transform)...

We consider the recent suggestion that spectrum estimation can be accomplished by applying wavelet denoising methodology to wavelet packet coefficients derived from the logarithm of a spectrum estimate. The particular algorithm we consider consists of computing the logarithm of the multitaper spectrum estimator, applying an orthonormal transform derived from a wavelet packet table to the log mu...

The digital data can be transformed using Discrete Wavelet Transform (DWT). The images need to be transformed without loosing of information. The Discrete Wavelet Transform (DWT) was based on time-scale representation, which provides efficient multi-resolution. The lifting based scheme (5, 3) (Here 5 Low Pass filter coefficients and the 3 High Pass filter coefficients) filter give lossless mode...

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

This paper presents a VLSI design approach for a high speed and real time Discrete Wavelet Transform computing. The hardware requirement is a major concern in the computation of discrete wavelet transform. There are many multiplier-less architecture for DWT for reducing the hardware requirement. But it is observed that the approximation method for constant multiplier implementation in DWT can i...

The digital data can be transformed using Discrete Wavelet Transform (DWT). The images need to be transformed without loosing of information. The Discrete Wavelet Transform (DWT) was based on time-scale representation, which provides efficient multi-resolution. The lifting based DWT are lower computational complexity and reduced memory requirements. The discrete wavelet transform (DWT) is being...

The Discrete Wavelet Transform (DWT) is an important transform with many signal processing applications, most notably, compression. Many architectures have been proposed to perform DWT, but few address the precision of the coefficients necessary to ensure perfect reconstruction. The goal of this work is to experimentally determine the precision of the filter coefficients (for an orthogonal wave...

In this paper, comparison of three Video compression techniques i.e. Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Hybrid is done. DCT is applied to Rows, Columns and Rows*Columns separately to frames in a video with compression factor of 2, 4 and 8, whereas Discrete Wavelet Transform(DWT) is applied till 2 level of DWT decomposition and Hybrid-1 combining DCT and DWT 1 ...

ECG data compression has been one of the active research areas in biomedical engineering. In this paper a compression method for electrocardiogram (ECG) signals using wavelet transform is proposed. Wavelet transform compact the energy of signal in fewer samples and has a good localization property in time and frequency domain. The MIT-BIH ECG signals are decomposed using discrete wavelet transf...

An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the...