Given a scaling function ?0, mother wavelet ?0, and maximum scale level J, DWT is a mapping from x(t) to the approximation coefficients ax and detail coefficients dx: x(t) ?{ax(J, k), dx(j, k), j ? [1 ...

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

The Discrete Wavelet Transform (DWT) has gained the reputation of being a very effective signal analysis tool for many practical applications. This paper presents an approach towards VLSI ...

Wavelet transform is being widely used in the field of information processing. One-dimension and two-dimension quantum wavelet transforms have been investigated. However, three-dimensional quantum ...

In most cases, the velocity of sound in partially saturated rock is significantly greater than in pure gas under the same pressure and temperature. What this means is that the wave-propagation process ...

At this point we have the necessary framework to combine all these concepts together into the wavelet energy absorption (WEA) method. But first, let us summarize the accumulated information. 1. The ...

Given a scaling function ?0, mother wavelet ?0, and maximum scale level J, DWT is a mapping from x (t) to the approximation coefficients ax and detail coefficients dx: ...