Part I: Collaborative Signal Processing Algorithms.- Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion.- Wind Modelling and its Possible Application to Control of Wind Farms.- Hierarchical Filters in a Collaborative Filtering Framework for System Identification and Knowledge Retrieval.- Acoustic Parameter Extraction From Occupied Rooms Utilizing Blind Source Separation.- Part II: Signal Processing for Source Localization.- Sensor Network Localization Using Least Squares Kernal Regression.- Adaptive Localization in Wireless Networks.- Signal Processing Methods for Doppler Radar Heart Rate Monitoring.- Multimodal Fusion for Car Navigation Systems.- Part III: Information Fusion in Imaging.- Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes.- Distributed Vision Networks for Human Pose Analysis.- Skin Color Separation and Synthesis for E-cosmetics.- ICA for Fusion of Brain Imaging Data.- Part IV: Knowledge Extraction in Brain Science.- Complex Empirical Mode Decomposition for Multichannel Information Fusion.- Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach.- Advanced EEG Signal Processing in Brain Death Diagnosis.- Automatic Knowledge Extraction: Fusion of Human Expert Ratings and Biosignal Features for Fatigue Monitoring Applications.
This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.
This book brings together the latest research achievements from various areas of signal processing and related disciplines. It aims to present knowledge extraction and information fusion supported by state-of-the-art background material. Within the book contributions presenting both novel algorithms and existing applications, especially those (but not restricted to) on-line processing of real world data are included. The areas of Knowledge Extraction and Information Fusion are naturally linked, and the subject is of major interest for modern biomedical, environmental, and industrial applications. This provides the state-of-the-art and proposes new techniques in order to combine heterogeneous information sources.