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

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, 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 …

In this paper, we define and study parameter (p, q)-Boas transform of a signal in linear
canonical transform domain. Also, we define the complex signals associated with parameter …

In this paper, we propose Fourier–Boas‐Like wavelets and obtain sufficient conditions for
their higher vanishing moments. A sufficient condition is given to obtain moment formula for …

Pathak introduced variation diminishing wavelets and wavelets of specified changes in sign
by utilising Schoenberg's notion of variation-diminishing integral operators of convolution …

In this paper, we define new real wavelets based on the Hartley kernel and Boas transforms.
These wavelets have possible application in analyzing both the symmetries of an …

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 …

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 …

Gabor proposed the concept of analytic signal, ie, a complex signal related to a given real
signal using the Hilbert transform. In this paper, we generalize the approach of constructing …