Wavelet footprints: theory, algorithms, and applications
نویسندگان
چکیده
منابع مشابه
Wavelet footprints: theory, algorithms, and applications
In recent years, wavelet-based algorithms have been successful in different signal processing tasks. The wavelet transform is a powerful tool because it manages to represent both transient and stationary behaviors of a signal with few transform coefficients. Discontinuities often carry relevant signal information, and therefore, they represent a critical part to analyze. In this paper, we study...
متن کاملWavelet-based watermarking algorithms: theory, applications and critical aspects
The copyright protection of digital images is a critical element for multimedia applications on Web, electronic libraries and virtual image galleries. Since the middle of the nineties, digital watermarking techniques have been proposed as a streamlined solution to solve the copyright problem. In this article we present the difficulties occurred during the construction and the experimentation of...
متن کاملWavelet theory and some of its applications
This thesis deals with applied mathematics with wavelets as a joint subject. There is an introduction and two extensive papers, of which one is already published in an international journal. The introduction presents wavelet theory including both the discrete and continuous wavelet transforms, the corresponding Fourier transforms, wavelet packets and the uncertainty principle. Moreover, it is a...
متن کاملGenetic Algorithms: Theory and Applications
FLLL 2 Preface This is a printed collection of the contents of the lecture " Genetic Algorithms: Theory and Applications " which I gave first in the winter semester 1999/2000 at the Johannes Kepler University in Linz. The reader should be aware that this manuscript is subject to further reconsideration and improvement. Corrections, complaints, and suggestions are cordially welcome. The sources ...
متن کاملEssential Theory, Algorithms and Applications
Euclidean distance matrices (EDM) are matrices of squared distances between points. The definition is deceivingly simple: thanks to their many useful properties they have found applications in psychometrics, crystallography, machine learning, wireless sensor networks, acoustics, and more. Despite the usefulness of EDMs, they seem to be insufficiently known in the signal processing community. Ou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2003
ISSN: 1053-587X
DOI: 10.1109/tsp.2003.810296