Gabor Analysis and Algorithms Theory and Applications

Gabor Analysis and Algorithms Theory and Applications by Hans G. Feichtinger, published by Birkhäuser Boston on October 11, 2012, is a comprehensive exploration of the mathematical foundations and applications of Gabor analysis. This edition, spanning 496 pages, delves into the theoretical aspects proposed by D. Gabor regarding the use of Gaussian functions for time-frequency analysis, emphasizing their role in decomposing complex time-dependent functions.
Readers will find a detailed examination of the implications of Gabor’s proposals, including the challenges associated with implementing these concepts in practical communication systems. The book discusses the mathematical obstructions encountered at critical time-frequency densities and introduces the Balian-Low theorem, which highlights the limitations of using smooth and localized functions in this context. Covering subjects such as functional analysis and imaging systems, this work serves as a valuable resource for those interested in the intersections of mathematics, technology, and engineering.
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In his paper Theory of Communication [Gab46], D. Gabor proposed the use of a family of functions obtained from one Gaussian by time-and frequency shifts. Each of these is well concentrated in time and frequency; together they are meant to constitute a complete collection of building blocks into which more complicated time-depending functions can be decomposed. The application to communication proposed by Gabor was to send the coeffi cients of the decomposition into this family of a signal, rather than the signal itself. This remained a proposal-as far as I know there were no seri ous attempts to implement it for communication purposes in practice, and in fact, at the critical time-frequency density proposed originally, there is a mathematical obstruction; as was understood later, the family of shifted and modulated Gaussians spans the space of square integrable functions [BBGK71, Per71] (it even has one function to spare [BGZ75] . . . ) but it does not constitute what we now call a frame, leading to numerical insta bilities. The Balian-Low theorem (about which the reader can find more in some of the contributions in this book) and its extensions showed that a similar mishap occurs if the Gaussian is replaced by any other function that is “reasonably” smooth and localized. One is thus led naturally to considering a higher time-frequency density.
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