Results 21 to 30 of about 280,124 (300)
Fringe pattern analysis using a one-dimensional modified Morlet continuous wavelet transform [PDF]
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
Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections [PDF]
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
Image Compression Using Wavelet Methods [PDF]
This paper aims to study and compare the compression efficiencies of wavelet-bitmap and wavelet-Huffman. Both methods use wavelet to deduct a portion of the information in the image that can endure losing it without a significant disturbance in the image
Safaa S. MAHDI, Yasir S. AL - MOUSAWY
doaj +1 more source
Wavelet Transforms and Machine Learning Methods for the Study of Turbulence
This article investigates the applications of wavelet transforms and machine learning methods in studying turbulent flows. The wavelet-based hierarchical eddy-capturing framework is built upon first principle physical models.
Jahrul M Alam
doaj +1 more source
The Monogenic Wavelet Transform [PDF]
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 +2 more sources
Wavelet shrinkage using adaptive structured sparsity constraints [PDF]
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
Non-parametric linear time-invariant system identification by discrete wavelet transforms
We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for ...
Luk, RWP +3 more
core +2 more sources
Wavelets on the Interval and Fast Wavelet Transforms
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]
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
On the Analytic Wavelet Transform [PDF]
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

