New York: ITAe, 2013. - 162p.
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
Hirschman Optimal Transform Block LMS Adaptive Filter
On Using ADALINE Algorithm for Harmonic Estimation and Phase-Synchronization for the Grid-Connected Converters in Smart Grid Applications
Applications of a Combination of Two Adaptive Filters
Adaptive Analysis of Diastolic Murmurs for Coronary Artery Disease Based on Empirical Mode Decomposition
Performance of Adaptive Hybrid System in Two Scenarios: Echo Phone and Acoustic Noise Reduction