Wiley-IEEE Press, 2004. — 966 p. — ISBN10: 0471234419, ISBN13: 978-0471234418.
This text provides a complete introduction to signal analysis. Inclusion of fundamental ideas—analog and discrete signals, linear systems, Fourier transforms, and sampling theory—makes it suitable for introductory courses, self-study, and refreshers in the discipline. But along with these basics, Signal Analysis: Time, Frequency, Scale, and Structure gives a running tutorial on functional analysis—the.
mathematical concepts that generalize linear algebra and underlie signal theory.
While the advanced mathematics can be skimmed, readers who absorb the material will be prepared for latter chapters that explain modern mixed-domain signal analysis: Short-time Fourier (Gabor) and wavelet transforms.
Signals: Analog, Discrete, and Digital.
Discrete Systems and Signal Spaces.
Analog Systems and Signal Spaces.
Time-Domain Signal Analysis.
Fourier Transforms of Analog Signals.
Generalized Fourier Transforms of Analog Signals.
Discrete Fourier Transforms.
The z-Transform.
Frequency-Domain Signal Analysis.
Time-Frequency Signal Transforms.
Time-Scale Signal Transforms.
Mixed-Domain Signal Analysis.