Introduction to Time Frequency and Wavelet Transforms

Rating:
Summary: A Friendly Guide to Time-Frequency Analysis
Review: The aim of time-frequency analysis is to describe how the frequency or spectral content of a signal evolves. For engineers, scientists, and mathematicians, this self-contained book brings together the methods that have been developed to study time-varying spectra, and presents in simple language the physical and mathematical ideas, their origin and motivation, and the challenges of the field. The book is written clearly and well by a leading researcher
in the area of time-frequency analysis.
I would strongly recommend this book to anyone
with an interest in the field of signal processing.

Rating:
Summary: Better wavelet books out there
Review: This book is divided into two sections: Time Frequency and Wavelets. Sadly, Shie Qian does not provide comprehensiveness in either subject, nor does he add to the knowledge base. I was expecting a more "cookbook" introductory approach to wavelets, but alas, for naught. To add insult to injury, there is not a hardcover version available to date. For shame.

My recommendations:
1. If you want to learn Time-Frequency analysis (windowed Fourier Transforms, Wigner-Ville ala Cohen's Class) -- download the Rice Time-Frequency Toolbox(for Matlab) and associated documentation. It's free, and the tutorials are outstanding. Not to mention, Qian seems to make liberal usage of it the book in question.

2a. For the electrical engineer, find a book that approaches wavelets by either branching off of Fourier Theory(provides a grounding in orthogonal, separable bases) or via subband coding(which correlates with the computation of wavelet transforms). Mallat's Wavelet Tour of Signal Processing is pretty good.

2b. For the math wiz(or those engineers with masochistic tendencies), find something with an angle on Riesz frames and bases. Avoid subband coding like the plague if you're not into block diagrams. A good start is Daubechies 10 Lectures on Wavelets, or anything through Birkhauser publishing.

Rating:
Summary: An excellent guide to time frequency and wavelet analysis
Review: This book is very successful in setting out the uses of time frequency analysis and wavelet transforms, employing interesting examples of their applications throughout. Starting from a nice discussion of Fourier transforms, it develops an intuitively appealing presentation of time variant filters, the wavelet transform and the Wigner-Ville distribution. The mathematics is clearly presented without unduly simplifying the proofs or concepts involved. I would strongly recommend this book to anyone with an interest in the field of signal processing.

Rating:
Summary: An excellent guide to time frequency and wavelet analysis
Review: This book is very successful in setting out the uses of time frequency analysis and wavelet transforms, employing interesting examples of their applications throughout. Starting from a nice discussion of Fourier transforms, it develops an intuitively appealing presentation of time variant filters, the wavelet transform and the Wigner-Ville distribution. The mathematics is clearly presented without unduly simplifying the proofs or concepts involved. I would strongly recommend this book to anyone with an interest in the field of signal processing.

Rating:
Summary: An excellent book on signal processing
Review: This book studies the two signal properties we are most interested in, time and frequency. Unlike other books, which usually concentrate on one topic of advanced signal processing, this book covers both time-frequency and wavelet analysis. The author organizes these topics in a clear structure with vivid English. The reviews at the beginning of every chapter are very
helpful for readers. Before I have this book, I read some mathematics books on wavelet analysis that were difficult to understand. The author explains the theories not only mathematically but also physically. Thus, this book gives me great help during my research on vibration and noise control,
modal analysis and acoustical signal processing. I strongly recommend this book to those who study signal processing.