Time Frequency Analysis: Theory and Applications (Prentice Hall Signal Processing Series)

Featuring traditional coverage as well as new research results that, until now, have been scattered throughout the professional literature, this book brings together—in simple language—the basic ideas and methods that have been developed to study natural and man-made signals whose frequency content changes with time—e.g., speech, sonar and radar, optical images, mechanical vibrations, acoustic signals, biological/biomedical and geophysical signals. Covers time analysis, frequency analysis, and scale analysis; time-bandwidth relations; instantaneous frequency; densities and local quantities; the short time Fourier Transform; time-frequency analysis; the Wigner representation; time-frequency representations; computation methods; the synthesis problem; spatial-spatial/frequency representations; time-scale representations; operators; general joint representations; stochastic signals; and higher order time-frequency distributions. Illustrates each concept with examples and shows how the methods have been extended to other variables, such as scale. For engineers, acoustic scientists, medical scientists and developers, mathematicians, physicists, and mangers working in the fields of acoustics, sonar, radar, image processing, biomedical devices, communication.

now... a book with implementation complexity and issues would be very nice.

[*] I perused through the other books that I saw at the store... so this is not a conclusive statement about the other books.


Great for Maths + Discussion; Weak on Implementation   August 9, 2000
Peter J. Kootsookos (West Hartford, CT, USA)
4 out of 4 found this review helpful

This book is written clearly and well by a leading researcher in the area of time-frequency analysis. The main weakness, and the reason I've knocked off one star, is that the book deals exclusively with continuous-time representations. If you are specifically interested in discrete-time implementation of time-frequency representations, then this book may not be for you.


more for mathematician than engineer   March 28, 2001
hivequeen
3 out of 3 found this review helpful

I agree with the above reviewer - this text is more analytical than I would have liked. The organization was not very helpful for understanding the big picture - how are the different methods for time-frequency analysis related? As an engineer, most of this book was not very useful for me, although there are some nice chapters (e.g. the Wigner distribution). In addition, it is somewhat out of date (wavelets are called scale here), has some errors in the proofs, and could be updated with a new edition.


For continuous signals not for discrete signals.   December 27, 2000
1 out of 2 found this review helpful

I agree with previous reviewer that this book ignore the discrete version of time-frequency analysis area. Although the author provide complete theory of time-frequency analysis, he did not give us a concrete application algorithm. This may due to the author background, from theoretical physics, not from digital signal processing.