TY - CHAP A1 - Zhidong Zhao A2 - Yi Luo A3 - Fangqin Ren A4 - Li Zhang A5 - Changchun Shi ED1 - Lino Garcia Morales Y1 - 2013-02-20 PY - 2013 T1 - Adaptive Analysis of Diastolic Murmurs for Coronary Artery Disease Based on Empirical Mode Decomposition N2 - 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. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems. BT - Adaptive Filtering SP - Ch. 4 UR - https://doi.org/10.5772/55690 DO - 10.5772/55690 SN - PB - IntechOpen CY - Rijeka Y2 - 2019-11-18 ER -