Introduction to Applied Statistical Signal Analysis. Guide to Biomedical and Electrical Engineering Applications

✍ Scribed by Richard Shiavi (Auth.)

• Publisher: Elsevier Academic Press
• Year: 2007
• Tongue: English
• Leaves: 406
• Category: Library

✦ Synopsis

Content:
Preface, Pages xiii-xiv
Acknowledgments, Page xvii
List of symbols, Pages xix-xxii
1 - Introduction and terminology, Pages 1-13
2 - Empirical modeling and approximation, Pages 15-50
3 - Fourier analysis, Pages 51-99
4 - Probability concepts and signal characteristics, Pages 101-154
5 - Introduction to random processes and signal properties, Pages 155-199
6 - Random signals, linear systems, and power spectra, Pages 201-228
7 - Spectral analysis for random signals: Nonparametric methods, Pages 229-286
8 - Random signal modeling and parametric spectral estimation, Pages 287-330
9 - Theory and application of cross correlation and coherence, Pages 331-366
10 - Envelopes and kernel functions, Pages 367-384
Appendices, Pages 385-392
Index, Pages 393-402