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Stationary wavelet transform

Known as: Non-decimated wavelet transform, Algorithme a trous, Maximal overlap wavelet transform 
The Stationary wavelet transform (SWT) is a wavelet transform algorithm designed to overcome the lack of translation-invariance of the discrete… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
2010
2010
Wavelet transform is widely used in feature extraction of magnetic resonance imaging. However, the traditional discrete wavelet… 
2007
2007
A novel HVDC line protection algorithm based on traveling wave theory is presented in this paper. Stationary wavelet transform… 
2006
2006
The detection of ECG waves is important to cardiac disease diagnosis. A good system depends heavily upon the accurate and… 
Highly Cited
2003
Highly Cited
2003
  • R. EslamiH. Radha
  • 2003
  • Corpus ID: 8347941
A new method for image denoising based on the contourlet transform, which has been recently introduced is presented in this paper… 
Highly Cited
2003
Highly Cited
2003
HARMONIC ANALYSIS AND WAVELETS IN R Lawrence W. Baggett and Kathy D. Merrill Abstract. Necessary and sufficient conditions are… 
2003
2003
Presents a stationary wavelet transform (SWT) method to de-noise microarray images. It is well known that SWT is time invariant… 
Highly Cited
2002
Highly Cited
2002
Abstract In this paper, we study a generalization of the Donoho–Johnstone denoising model for the case of the translation… 
Review
1995
Review
1995
Wavelets are of wide potential use in statistical contexts. The basics of the discrete wavelet transform are reviewed using a… 
Highly Cited
1992
Highly Cited
1992
Orthogonal wavelet transforms have recently become a popular representation for multi-scale signal and image analysis. One of the…