'adaptive Filtering: Theories And Applications' Ed. By Lino Garcia Morales
by Lino Garcia Morales /
2013 / English / PDF
9.1 MB Download
This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems.
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy.
Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time.
Contents
Preface
1 Hirschman Optimal Transform Block LMS Adaptive Filter
2 On Using ADALINE Algorithm for Harmonic Estimation and Phase-Synchronization for the Grid-Connected Converters in Smart Grid Applications
3 Applications of a Combination of Two Adaptive Filters
4 Adaptive Analysis of Diastolic Murmurs for Coronary Artery Disease Based on Empirical Mode Decomposition
5 Performance of Adaptive Hybrid System in Two Scenarios: Echo Phone and Acoustic Noise Reduction
with TOC BookMarkLinks
