Algorithms for Statistical Signal Processing
Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on advanced topics ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing.
| Title | : | Algorithms for Statistical Signal Processing |
| Author | : | John G. Proakis |
| Publisher | : | - 2002 |
You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.
Once you have finished the sign-up process, you will be redirected to your download Book page.
How it works:- 1. Register a free 1 month Trial Account.
- 2. Download as many books as you like (Personal use)
- 3. Cancel the membership at any time if not satisfied.
