To solve the problem of optimal wavelet basis function selection in feature extraction of
motor imagery electroencephalogram (MI-EEG) by wavelet packet transformation (WPT) …

Wavelet packet expansions have been the centre of many research problems in the last few
years. We begin by furnishing few results related to approximation of functions of L 2 (R) …

In this paper, we introduce fractional Boas transforms and discuss some of their properties.
We also introduce the notion of wavelets associated with fractional Boas transforms and give …

In this paper, we study Boas transforms of wavelets and obtain a sufficient condition under
which the Boas transform of a wavelet is the derivative of another wavelet. Also, a …

In this paper, it is proved that under some conditions, wavelet packet basis of L 2 (ℝ) can be
used as a tool for the uniform approximation of an M-times (M> 0) continuously differentiable …

A formula for calculating moments for wavelet packets is derived and a sufficient condition
for moments of wavelet packets to be vanishing is obtained. Also, the convolution and cross …

In the present paper, we show that, under some conditions wavelet packet basis of L 2 (ℝ)
can be used as a tool for the uniform approximation of a function f∈(CM∩ L 2)(ℝ), M> 0 …

Sweldens and Piessens gave the crucial relationship between the first and the second
scaling moment in order to derive an effective one-point quadrature formula to reproduce …

A study on the vanishing moments of wavelets on p-adic fields is carried out in this paper.
The p-vanishing moments and discrete p-vanishing moments are defined on a p-adic field …

The present paper aims to approximate functions belonging to the class L2 (R), using Boas
transform of wavelets. We exhibit that Hölder continuity of a function plays a crucial role in …