Издательство InTech, 2011, -410 pp.
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 (deconvolution, reverse filtering, inverse modeling), cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. This book consists of a compendium of applications in three areas of great interest in scientific research: noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. There is no a structure and/or algorithm better than other; It all depends on the implementation and the performance target. In all these chapters, each application is a case study with rigor that shows the weakness?strength of the method used (in many cases compared with other methods), 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 to be still evolving. There are many variables to take into account and how to combine them, optimize them and achieve the desired outcome. This book is a demonstration of this and a small illustration of everything that is to come.
Part 1 Noise and Echo Cancellation.
Applications of Adaptive Filtering.
Applications of Adaptive Filtering: Recent Advancements in Active Noise Control.
Active Noise Cancellation: The Unwanted Signal and the Hybrid Solution.
Perceptual Echo Control and Delay Estimation.
Part 2 Medical Applications.
Adaptive Noise Removal of ECG Signal Based On Ensemble Empirical Mode Decomposition.
Application of Adaptive Noise Cancellation in Transabdominal Fetal Heart Rate Detection Using Photoplethysmography.
Adaptive Filtering by Non-Invasive Vital Signals Monitoring and Diseases Diagnosis.
Noise Removal from EEG Signals in Polisomnographic Records Applying Adaptive Filters in Cascade.
Fast Extraction of Somatosensory Evoked Potential Based on Robust Adaptive Filtering.
Part 3 Communication Systems.
A LEO Nano-Satellite Mission for the Detection of Lightning VHF Sferics.
Adaptive MIMO Channel Estimation Utilizing Mode Channel Codes.
An Introduction to ANFIS Based Channel Equalizers for Mobile Cellular Channels.
Adaptive Channel Estimation in Space-Time Coded MIMO Systems.
Adaptive Filtering for Indoor Localization using ZIGBEE RSSI and LQI Measurement.
Part 4 Other Applications.
Adaptive Filters for Processing Water Level Data.
Nonlinear Adaptive Filtering to ForecastAir Pollution.
A Modified Least Mean Square Method Applied to Frequency Relaying.
Anti-Multipath Filter with Multiple Correlators in GNSS Receviers.
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 (deconvolution, reverse filtering, inverse modeling), cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. This book consists of a compendium of applications in three areas of great interest in scientific research: noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. There is no a structure and/or algorithm better than other; It all depends on the implementation and the performance target. In all these chapters, each application is a case study with rigor that shows the weakness?strength of the method used (in many cases compared with other methods), 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 to be still evolving. There are many variables to take into account and how to combine them, optimize them and achieve the desired outcome. This book is a demonstration of this and a small illustration of everything that is to come.
Part 1 Noise and Echo Cancellation.
Applications of Adaptive Filtering.
Applications of Adaptive Filtering: Recent Advancements in Active Noise Control.
Active Noise Cancellation: The Unwanted Signal and the Hybrid Solution.
Perceptual Echo Control and Delay Estimation.
Part 2 Medical Applications.
Adaptive Noise Removal of ECG Signal Based On Ensemble Empirical Mode Decomposition.
Application of Adaptive Noise Cancellation in Transabdominal Fetal Heart Rate Detection Using Photoplethysmography.
Adaptive Filtering by Non-Invasive Vital Signals Monitoring and Diseases Diagnosis.
Noise Removal from EEG Signals in Polisomnographic Records Applying Adaptive Filters in Cascade.
Fast Extraction of Somatosensory Evoked Potential Based on Robust Adaptive Filtering.
Part 3 Communication Systems.
A LEO Nano-Satellite Mission for the Detection of Lightning VHF Sferics.
Adaptive MIMO Channel Estimation Utilizing Mode Channel Codes.
An Introduction to ANFIS Based Channel Equalizers for Mobile Cellular Channels.
Adaptive Channel Estimation in Space-Time Coded MIMO Systems.
Adaptive Filtering for Indoor Localization using ZIGBEE RSSI and LQI Measurement.
Part 4 Other Applications.
Adaptive Filters for Processing Water Level Data.
Nonlinear Adaptive Filtering to ForecastAir Pollution.
A Modified Least Mean Square Method Applied to Frequency Relaying.
Anti-Multipath Filter with Multiple Correlators in GNSS Receviers.