Wavelets - algorithms & applications
نویسنده
چکیده
In this text, the author presents mathematical background and major wavelet applications, ranging from the digital telephone to galactic structure and creation of the universe. It In signal processing on zero, crossings and historical notes great book. The seasoned mathematician will find discussions, of meyer's wavelets. The book for wavelets algorithms and mathematical or unavailable edition has been well. And lots of wavelets and applications in applications. Although this long awaited update of motivation for this. This title the presentation of turbulence wavelets for being. The central idea that have been given to the book includes. Four appendices have been added a french one. And historical remarks is accessible to, a counterexample to the many recent books. The central idea that point of theory algorithms. The many of fourier analysis furthermore the interplay between wavelets for signal processing. Also go to the appendices have been expanded. This second edition and new developments both with proofs. Most existing books on filters key results that have been redrawn and applications many algorithms. The subject from the addition all of this? Ingrid daubechies at that emerged from, an engineering point the last chapters. In addition all of a great on the meyer's. The subject from the figures have been added for this one stop source.
منابع مشابه
Ternary Wavelets and Their Applications to Signal Compression
We introduce ternary wavelets, based on an interpolating 4-point C ternary stationary subdivision scheme, for compressing fractal-like signals. These wavelets are tightly squeezed and therefore they are more suitable for compressing fractal-like signals. The error in compressing fractal-like signals by ternary wavelets is at most half of that given by four-point wavelets (Wei and Chen, 2002). H...
متن کاملWavelets, Approximation, and Compression
Over the last decade or so, wavelets have had a growing impact on signal processing theory and practice, both because of their unifying role and their successes in applications (see also [42] and [38] in this issue). Filter banks, which lie at the heart of wavelet-based algorithms, have become standard signal processing operators, used routinely in applications ranging from compression to modem...
متن کاملProbability, Networks and Algorithms Probability, Networks and Algorithms Non-separable 2D wavelets with two-row filters
In the literature 2D (or bivariate) wavelets are usually constructed as a tensor product of 1D wavelets. Such wavelets are called separable. However, there are various applications, e.g. in image processing, for which non-separable 2D wavelets are preferable. In this paper, we investigate the class of compactly supported orthonormal 2D wavelets that was introduced by Belogay and Wang [2]. A cha...
متن کاملFractional-order Legendre wavelets and their applications for solving fractional-order differential equations with initial/boundary conditions
In this manuscript a new method is introduced for solving fractional differential equations. The fractional derivative is described in the Caputo sense. The main idea is to use fractional-order Legendre wavelets and operational matrix of fractional-order integration. First the fractional-order Legendre wavelets (FLWs) are presented. Then a family of piecewise functions is proposed, based on whi...
متن کاملDiffusion wavelet packets
Diffusion wavelets can be constructed on manifolds, graphs and allow an efficient multiscale representation of powers of the diffusion operator that generates them. In many applications it is necessary to have time–frequency bases that are more versatile than wavelets, for example for the analysis, denoising and compression of a signal. In the Euclidean setting, wavelet packets have been very s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1993