About this document
Chapter8 LMS Algorithms Pp40 by Satyakam Baraha is a document available to read on EtoBox.
Chapter 8 discusses Least Mean Squares (LMS) algorithms, focusing on their application in optimal and adaptive filtering. It covers the Wiener filter, steepest-descent methods, and various LMS algorithms including normalized LMS, block LMS, and frequency-domain LMS. The chapter emphasizes the importance of minimizing mean-square error and the iterative nature of LMS for adapting filter parameters based on error signals.
- Author
- Satyakam Baraha
- Language
- EN