Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Wavelet transform

Known as: Orthonormal wavelet, Wavelet transforms, Wavelet transformation 
In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Abstract Activity detection and classification using different sensor modalities have emerged as revolutionary technology for… Expand
Is this relevant?
Highly Cited
2013
Highly Cited
2013
  • J. Gilles
  • IEEE Transactions on Signal Processing
  • 2013
  • Corpus ID: 6341052
Some recent methods, like the empirical mode decomposition (EMD), propose to decompose a signal accordingly to its contained… Expand
Is this relevant?
Highly Cited
2005
Highly Cited
2005
This paper proposes a novel technique to forecast day-ahead electricity prices based on the wavelet transform and ARIMA models… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 6
Is this relevant?
Highly Cited
2002
Highly Cited
2002
(The correction deals with the fact that the complex Morlet wavelet has a non-zero See for example: The Illustrated Wavelet… Expand
Is this relevant?
Highly Cited
1998
Highly Cited
1998
A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various… Expand
  • figure 1
  • figure 3
  • figure 2
  • table I
  • table II
Is this relevant?
Highly Cited
1995
Highly Cited
1995
Abstract The goal of image fusion is to integrate complementary information from multisensor data such that the new images are… Expand
Is this relevant?
Highly Cited
1992
Highly Cited
1992
A novel theory is introduced for analyzing image compression methods that are based on compression of wavelet decompositions… Expand
  • table I
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
1992
Highly Cited
1992
Introduction Preliminaries and notation The what, why, and how of wavelets The continuous wavelet transform Discrete wavelet… Expand
Is this relevant?
Highly Cited
1991
Highly Cited
1991
  • S. Mallat
  • IEEE Trans. Inf. Theory
  • 1991
  • Corpus ID: 26567059
The completeness, stability, and application to pattern recognition of a multiscale representation based on zero-crossings is… Expand
Is this relevant?
Highly Cited
1990
Highly Cited
1990
Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied. The first… Expand
  • figure 1
  • figure 2
  • figure 3
  • table I
  • table I
Is this relevant?