Signal processing techniques for knowledge extraction and information fusion

This book brings together the latest research achievements from various areasof signal processing and related disciplines in order to consolidate the existing and proposed new directions in DSP based knowledge extraction and information fusion. 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 aim at detecting and estimating the signal of interest and its parameters, and further at combining measurementsfrom multiple sensors (and associated databases if appropriate) to achieve improved accuracies and more specific inferences which cannot be achieved by using only a single signal modality. Presents knowledge extraction and information fusion supported by state of the art background material. Brings together cutting edge research, both theoretical and applied, and reflects the state of the art both in terms of theory applied to biomedical, industrial, and environmental problems. Includes contributions by editors and contributors who are experts in their areas and are geographically diverse INDICE: Signal Reconstruction with Preservation of Preferential Components.- Sensor Netowrk Localization Using Kernel Regression.- Acoustic Parameter Extraction from Occupied Rooms.- Online Methods for Detectiong the Degree of Nonlinearity Within a Signal, and their Applications.- Hierarchical Framework forDetecting Spoarseness in Unknown Channels and its Applications.- Auditory Feedback for Brain Computer Interface.- EEG Based Information Fusion and Knowledge Extraction for Patients in Deep Coma.- Exploratory Data Analysis via Empirical Mode Decomposition.- Knowledge Extraction and Feature Relavance for the Detection of Drowsiness in Car Drivers.- Fit for Duty: Human Alertness AssessmentUsing Data Fusion and Feature Discrimination.- Input Variable Selection and Feature Relevance Exploitation.- Information Fusion for Car Navigation Systems.

• ISBN: 978-0-387-74366-0
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/02/2008
• Nº Volúmenes: 1
• Idioma: Inglés