Results 1 to 10 of about 56,544 (315)

On the Hilbert transform of wavelets [PDF]

open access: greenIEEE Transactions on Signal Processing, 2011
Appears in IEEE Transactions on Signal Processing, vol. 59, no. 4, pp.
Kunal N. Chaudhury, Michaël Unser
openalex   +4 more sources

The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform [PDF]

open access: yesNeural Computation, 2008
We describe the Berkeley wavelet transform (BWT), a two-dimensional triadic wavelet transform. The BWT comprises four pairs of mother wavelets at four orientations. Within each pair, one wavelet has odd symmetry, and the other has even symmetry. By translation and scaling of the whole set (plus a single constant term), the wavelets form a complete ...
Ben D. B. Willmore   +3 more
openaire   +4 more sources

Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation [PDF]

open access: yes, 2011
Copyright @ 2011 Shadi AlZubi et al. This article has been made available through the Brunel Open Access Publishing Fund.The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying ...
Alzubi, S   +5 more
core   +1 more source

Fringe pattern analysis using a one-dimensional modified Morlet continuous wavelet transform [PDF]

open access: yes, 2008
This paper proposes the use of a modified Morlet wavelet in order to demodulate fringe patterns in conjunction with the one-dimensional continuous wavelet transform (1D-CWT). Our investigations demonstrate that the modified Morlet wavelet produces better
Gdeisat, Munther A.   +11 more
core   +1 more source

The Monogenic Wavelet Transform [PDF]

open access: yesIEEE Transactions on Signal Processing, 2009
This paper extends the 1-D analytic wavelet transform to the 2-D monogenic wavelet transform. The transformation requires care in its specification to ensure suitable transform coefficients are calculated, and it is constructed so that the wavelet transform may be considered as both local and monogenic. This is consistent with defining the transform as
Sofia C. Olhede, Georgios Metikas
openaire   +1 more source

On the Analytic Wavelet Transform [PDF]

open access: yesIEEE Transactions on Information Theory, 2010
An exact and general expression for the analytic wavelet transform of a real-valued signal is constructed, resolving the time-dependent effects of non-negligible amplitude and frequency modulation. The analytic signal is first locally represented as a modulated oscillation, demodulated by its own instantaneous frequency, and then Taylor-expanded at ...
Jonathan M. Lilly, Sofia C. Olhede
openaire   +2 more sources

Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections [PDF]

open access: yes, 2013
One of the most relevant applications of digital image forensics is to accurately identify the device used for taking a given set of images, a problem called source identification.
Hernandez-Castro, Julio C.   +4 more
core   +1 more source

Wavelet shrinkage using adaptive structured sparsity constraints [PDF]

open access: yes, 2015
Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural dependencies inherent in the data ...
Tomassi, Diego Rodolfo   +7 more
core   +1 more source

Wavelets on the Interval and Fast Wavelet Transforms

open access: yesApplied and Computational Harmonic Analysis, 1993
The paper contains a detailed analysis of several constructions of orthonormal bases of wavelets on a finite interval. A new construction is suggested which avoids some of the disadvantages of earlier constructions.
Cohen, Albert   +2 more
openaire   +3 more sources

Fractional Wavelet Transform Using an Unbalanced Lifting Structure [PDF]

open access: yes, 2011
In this article, we introduce the concept of fractional wavelet transform. Using a two-channel unbalanced lifting structure it is possible to decompose a given discrete-time signal x[n] sampled with period T into two sub-signals x1[n] and x2[n] whose ...
Y. H. Habiboğlu   +6 more
core   +1 more source

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