Partial Update Least-Square Adaptive Filtering

Discover the innovative techniques in "Partial Update Least-Square Adaptive Filtering" by Bei Xie, published by Springer International Publishing AG in 2014. This insightful paperback spans 105 pages and delves into the complexities of adaptive algorithms. The book introduces a partial update method that significantly reduces the complexity of adaptive filtering by updating only a portion of the weight vector or by updating at selective times. It also features a comparative analysis of various similar algorithms, including PU RLS, PU CG, and PU EDS, providing readers with a comprehensive understanding of their performance. Ideal for researchers and practitioners in the field, this book is a valuable resource for anyone looking to enhance their knowledge of adaptive filtering techniques.