Time Frequency
Time-Frequency/Time-Scale Analysis has been the object of intense
research activity in the last decade. Wavelets have become known as a
powerful tool with which to manipulate signals of a complex nature,
such as those with random, noisy, or nonstationary features. Practical
Time Frequency Analysis is the ninth volume in the series Wavelets
Analysis and its Applications. The purpose of this book is to give a
self-contained presentation of the techniques of
time-frequency/time-scale analysis and to provide a set of useful
tools in the form of computer programs to perform the analyses. This
unified approach should appeal to applied mathematicians,
statisticians and signal processing engineers alike.
Selected Features
Detailed presentation of the (continuous) wavelet and Gabor transforms
Applications to deterministic and random signal theory
Spectral analysis of nonstationary signals and processes
New algorithms of feature extraction and denoising
Numerous practical examples ranging from speech analysis to
underwater acoustics, earthquake engineering, internet traffic, radar
signal denoising, medical data interpretation, etc.