TY - CHAP A1 - Zhao Zhidong A2 - Luo Yi A3 - Lu Qing ED1 - Lino Garcia Y1 - 2011-07-05 PY - 2011 T1 - Adaptive Noise Removal of ECG Signal Based On Ensemble Empirical Mode Decomposition N2 - Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as: prediction, system identification and modeling, equalization, cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come. BT - Adaptive Filtering Applications SP - Ch. 5 UR - https://doi.org/10.5772/16263 DO - 10.5772/16263 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-11-30 ER -