"This book is suitable as a textbook for an introductory undergraduate mathematics course on discrete Fourier and wavelet transforms for students with background in calculus and linear algebra. The particular strength of this book is its accessibility to students with no background in analysis. The exercises and computer explorations provide the reader with many opportunities for active learning. Studying from this text will also help students strengthen their background in linear algebra."
Mathematical Association of America
This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.
It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices to emphasize selected frequency ranges. It introduces discrete wavelet transforms for digital signals through the lifting method and illustrates through examples and computer explorations how these transforms are used in signal and image processing. Then the general theory of discrete wavelet transforms is developed via the matrix algebra of two-channel filter banks. Finally, wavelet transforms for analog signals are constructed based on filter bank results already presented, and the mathematical framework of multiresolution analysis is examined.
Описание: Wavelet and subband transforms have been of great interest in the fields of - gineering and applied mathematics. This book, comprised of eleven chapter contributions from prominent researchers in the field, focuses on communications and mul- media applications of wavelet and subband transforms.
Описание: Focuses on communications and multimedia applications of wavelet and subband transforms. This book deals with various communications applications that significantly benefit from wavelet and subband theories. It also presents advances in multimedia applications of wavelet and subband transforms.
Автор: Ali N. Akansu; Mark J.T. Smith Название: Subband and Wavelet Transforms ISBN: 0792396456 ISBN-13(EAN): 9780792396451 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Treats the fundamentals and discussing the applications in which filter banks and wavelets are believed to be important. This book is of interest to practicing engineers and scientists who wish to learn about utilization of these developments, and instructors teaching senior and graduate level engineering and applied mathematics in the field.
Автор: Shukla KK Название: Efficient Algorithms for Discrete Wavelet Transform ISBN: 1447149408 ISBN-13(EAN): 9781447149408 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients.
Описание: This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals.
Описание: This thesis explores the motion anchoring strategies, which represent a fundamental change to the way motion is employed in a video compression system-from a "prediction-centric" point of view to a "physical" representation of the underlying motion of the scene.
Описание: This book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas.
Описание: This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals.
Автор: Stephane Mallat Название: A Wavelet Tour of Signal Processing, ISBN: 0123743702 ISBN-13(EAN): 9780123743701 Издательство: Elsevier Science Рейтинг: Цена: 14483.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers the major concepts, techniques and applications of sparse representation. This book presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms.
Автор: Tapan K. Sarkar, Magdalena Salazar-Palma Название: Wavelet Application in Engineering Electromagnetics ISBN: 1580532675 ISBN-13(EAN): 9781580532679 Издательство: Artech House Рейтинг: Цена: 25687.00 р. Наличие на складе: Нет в наличии.
Описание: Written from an engineering perspective, this unique resource describes the practical application of wavelets to the solution of electromagnetic field problems and in signal analysis with an even-handed treatment of the pros and cons. A key feature of this book is that the wavelet concepts have been described from the filter theory point of view that is familiar to researchers with an electrical engineering background. The book shows you how to design novel algorithms that enable you to solve electrically, large electromagnetic field problems using modest computational resources. It also provides you with new ideas in the design and development of unique waveforms for reliable target identification and practical radar signal analysis. The book includes more then 500 equations, and covers a wide range of topics, from numerical methods to signal processing aspects.
Описание: A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this “prediction-centric” approach is convenient, the fact that the motion is “attached” to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability. In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed “reference-based” anchoring schemes is high quality motion inference, which is enabled by the use of a more “physical” motion representation than the traditionally employed “block” motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore, “features” beyond compressibility — including high scalability, accessibility, and “intrinsic” framerate upsampling — can be seamlessly supported. These features are becoming ever more relevant as the way video is consumed continues shifting from the traditional broadcast scenario to interactive browsing of video content over heterogeneous networks.This book is of interest to researchers and professionals working in multimedia signal processing, in particular those who are interested in next-generation video compression. Two comprehensive background chapters on scalable video compression and temporal frame interpolation make the book accessible for students and newcomers to the field.
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