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Discrete Wavelet Transform (DWT)

2015
The wavelet transform can be seen as a wavelet-based expansion (decomposition) of a finite-energy signal. In the discrete wavelet transform (DWT), economy in the representation of the signal and possibility of perfect signal reconstruction (PR) are crucial.
openaire   +2 more sources

Discrete Wavelet Transforms using Daubechies Wavelet

IETE Journal of Research, 2001
The Wavelet co-efficients have to be calculated using sampled version of basis functions. As an attempt to compute the Wavelet co-efficients and to find the mother function co-efficients from discrete Wavelet Transform an 8 bit data vector has been used and also the input 8 bit data vector has been derived from only the 4 bit data which is the result ...
openaire   +2 more sources

Discrete inverses for nonorthogonal wavelet transforms

SPIE Proceedings, 1994
Discrete nonorthogonal wavelet transforms play an important role in signal processing by offering finer resolution in time and scale than their orthogonal counterparts. The standard inversion procedure for such transforms is a finite expansion in terms of the analyzing wavelet.
openaire   +3 more sources

Discrete Wavelet Transform: From Frames to Fast Wavelet Transform

2002
Both the short-time Fourier transform and the continuous wavelet transform can be seen as operators that project the signal s(t) from the one-dimensional time domain into the two-dimensional time-frequency plane. In the case of the continuous wavelet transform the scaling a and delay b are assumed to be continuous in value; that is, it is said that the
Pankaj K. Das   +2 more
openaire   +2 more sources

The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms.

Proposed for presentation at the IEEE Ubiquitous Computing, Electronics, & Mobile Communication Conference (UEMCON) in ,, 2022
Miguel Jimenez-Aparicio   +2 more
openaire   +1 more source

The Discrete Orthonormal Wavelet Transform: An Introduction

1990
In this paper z-transform theory is used to develop the discrete orthonormal wavelet transform for multidimensional signals. The tone is tutorial and expository. Some rudimentary knowledge of z-transforms and vector spaces is assumed. The wavelet transform of a signal consists of a sequence of inner products of a signal computed against the elements of
Frazier, Michael, Kumar, Arun
openaire   +4 more sources

Discrete metal nanoparticles with plasmonic chirality

Chemical Society Reviews, 2021
Guangchao Zheng   +2 more
exaly  

Observation of a discrete time crystal

Nature, 2017
Alexander E Hramov   +2 more
exaly  

Discrete solitons in optics

Physics Reports, 2008
Gaetano Assanto
exaly  

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