Results 231 to 240 of about 258,423 (283)
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
Wavelets in Electrochemical Noise Analysis
Planinšič, Peter, Petek, Aljana
openaire +2 more sources
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1998
This paper discusses wavelet transforms - discrete wavelet transform and continuous wavelet transform, and wavelet applications to signal compression. Wavelet transform decomposes signal into components which correspond to the different frequency bands.
Howard L. Resnikoff, Raymond O. Wells
+5 more sources
This paper discusses wavelet transforms - discrete wavelet transform and continuous wavelet transform, and wavelet applications to signal compression. Wavelet transform decomposes signal into components which correspond to the different frequency bands.
Howard L. Resnikoff, Raymond O. Wells
+5 more sources
Introduction to Wavelet Analysis
British Journal of Audiology, 1997Wavelet transform and multiresolution decomposition are described. Examples of the application of orthogonal wavelet transform to acoustic evoked potentials and otoacoustic emissions (OEA) are given and basic features of wavelet packets and wavelet network methods are characterized. An approach that enables the identification of local signal structures-
K J, Blinowska, P J, Durka
openaire +2 more sources
Wavelet Analysis: Mother Wavelet Selection Methods
Applied Mechanics and Materials, 2013Wavelet analysis, being a popular time-frequency analysis method has been applied in various fields to analyze a wide range of signals covering biological signals, vibration signals, acoustic and ultrasonic signals, to name a few. With the capability to provide both time and frequency domains information, wavelet analysis is mainly for time-frequency ...
Wai Keng Ngui +3 more
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Wavelet Analysis of Electrocardiograms
Bulletin of Experimental Biology and Medicine, 2018Some electrocardiograms, e.g. electrocardiograms recorded in patients with atrial fibrillation, myocardial infarction, or receiving some medications, contain waves of small amplitude. Despite low amplitude, these waves can significantly affect correct identification of the pathological process and diagnosis.
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Wavelets with Frame Multiresolution Analysis
Journal of Fourier Analysis and Applications, 2003Let \(A\) be a \(d\times d\) real expansive matrix, i.e., a matrix whose eigenvalues are all of modulus greater than 1. Then a function \(\psi \in L^2(\mathbb{R}^d)\) is an \(A\)-\textit{dilation wavelet} if the system \(|\text{det} A|^{n/2} \psi (A^n x - l)\), \(n\in \mathbb{Z}\), \(l\in \mathbb{Z}^d\), forms an orthonormal basis for \(L^2(\mathbb{R ...
Dai, X., Diao, Y., Gu, Q., Han, D.
openaire +3 more sources
Wavelet analysis of DNA sequences
Genetic Analysis: Biomolecular Engineering, 1996Wavelet decomposition is applied to the analysis of the nucleotide sequence of the rhodopsin gene of Chinese Hamster cells. The Lipschitz-Hölder exponents for the probability measurements of adenine, guanine, thymine and cytosine distributions are obtained. The local scaling found by means of wavelet analysis is argued to be an indication of long-range
M, Altaiski, O, Mornev, R, Polozov
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2013
Wavelets are oscillations, supposedly resulting from multiple smaller wavelets, and they are, traditionally, analyzed with polynomial, sine and cosine, and other functions. Ingrid Daubechies (1988) demonstrated that the repeated use of sharply spiked functions with multiple scales as basis functions for wavelet analysis provided better data-fit, and ...
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source
Wavelets are oscillations, supposedly resulting from multiple smaller wavelets, and they are, traditionally, analyzed with polynomial, sine and cosine, and other functions. Ingrid Daubechies (1988) demonstrated that the repeated use of sharply spiked functions with multiple scales as basis functions for wavelet analysis provided better data-fit, and ...
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source

