The Fundamentals of Signal Analysis
Publisher: Agilent Technologies 2000
Number of pages: 68
This book is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and with the class of analyzers we call Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.
Download or read it online for free here:
by B.D.O. Anderson, J.B. Moore - Prentice-Hall
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; etc.
by Victor M. Moreno, Alberto Pigazo - INTECH
An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.
by Julius O. Smith III - W3K Publishing
Detailed mathematical derivation of DFT (Discrete Fourier Transform), with elementary applications to audio signal processing. Matlab programming examples are included. High-school math background is a prerequisite, including some calculus.
by Sophocles J. Orfanidis - Prentice Hall
An applications-oriented introduction to digital signal processing. The author covers all the basic DSP concepts, such as sampling, DFT/FFT algorithms, etc. The book emphasizes the algorithmic, computational, and programming aspects of DSP.