Statistical Digital Signal Processing And Modeling

This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering. Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems.

Table of contents :
· Background
· Discrete-Time Random Processes
· Signal Modeling
· The Levinson Recursion
· Lattice Filters
· Wiener Filtering
· Spectrum Estimation
· Adaptive Filtering
Appendix
Table of Symbols
Index


Market Description :
· Electrical Engineers
· Senior/Graduate Level Courses in Advanced DSP or Digital Filtering