Fourier transform has been shown to be a powerful tool in many area of science. However, there is another class of unitary transforms, the wavelet transforms, which are as useful as the Fourier transform. Wavelet transforms are used to expose the multi-scale structure of a signal and very useful for image processing and data compressiyon. In this paper, we construct quantum algorithms for Haar wavelet transforms and show its application in analyzing the multi-scale structure of the dynamical system by the Logistic Map (x! x(1 x)).
AbstractWe present the detailed process of converting the classical Fourier Transform algorithm into...
Quantum field theory (QFT) describes nature using continuous fields, but physical properties of QFT ...
The curvelet transform is a directional wavelet transform over R^n, which is used to analyze functio...
In this thesis we investigate two new Amplified Quantum Transforms. In particular we create and anal...
In this thesis we investigate two new Amplified Quantum Transforms. In par-ticular we create and ana...
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been s...
Wavelets, known to be useful in nonlinear multiscale processes and in multiresolution analysis, are ...
We propose a superfast discrete Haar wavelet transform (SFHWT) as well as its in-verse, using the QT...
A sequence of increasing translation invariant subspaces can be defined by the Haar-system (or gener...
Quantum mechanics requires the operation of quantum computers to be unitary, and thus makes it impor...
In this study the intimate connection is established between the Banach space wavelet reconstruction...
This is the second part of two our papers in which we present applications of wavelet analysis to po...
In this project we explore properties of the Haar wavelet and how it is used in multiresolution anal...
Abstract We identify multiresolution subspaces giving rise via Hankel transforms to Bessel functions...
This paper aims to study the q-wavelets and the q-wavelet transforms, using only the q-Jackson integ...
AbstractWe present the detailed process of converting the classical Fourier Transform algorithm into...
Quantum field theory (QFT) describes nature using continuous fields, but physical properties of QFT ...
The curvelet transform is a directional wavelet transform over R^n, which is used to analyze functio...
In this thesis we investigate two new Amplified Quantum Transforms. In particular we create and anal...
In this thesis we investigate two new Amplified Quantum Transforms. In par-ticular we create and ana...
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been s...
Wavelets, known to be useful in nonlinear multiscale processes and in multiresolution analysis, are ...
We propose a superfast discrete Haar wavelet transform (SFHWT) as well as its in-verse, using the QT...
A sequence of increasing translation invariant subspaces can be defined by the Haar-system (or gener...
Quantum mechanics requires the operation of quantum computers to be unitary, and thus makes it impor...
In this study the intimate connection is established between the Banach space wavelet reconstruction...
This is the second part of two our papers in which we present applications of wavelet analysis to po...
In this project we explore properties of the Haar wavelet and how it is used in multiresolution anal...
Abstract We identify multiresolution subspaces giving rise via Hankel transforms to Bessel functions...
This paper aims to study the q-wavelets and the q-wavelet transforms, using only the q-Jackson integ...
AbstractWe present the detailed process of converting the classical Fourier Transform algorithm into...
Quantum field theory (QFT) describes nature using continuous fields, but physical properties of QFT ...
The curvelet transform is a directional wavelet transform over R^n, which is used to analyze functio...