Signal Processing Techniques for Knowledge Extraction and Information Fusion /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Mandic, Danilo. (Editor ), Golz, Martin. (Editor ), Kuh, Anthony. (Editor ), Obradovic, Dragan. (Editor ), Tanaka, Toshihisa. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	New York, NY : Springer US : Imprint: Springer, 2008.
Edición:	1st ed. 2008.
Materias:	Signal processing. Image processing. Speech processing systems. Electrical engineering. Data mining. Signal, Image and Speech Processing. Communications Engineering, Networks. Data Mining and Knowledge Discovery.

Tabla de Contenidos:

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
Signal Processing for Source Localization
Sensor Network Localization Using Least Squares Kernel Regression
Adaptive Localization in Wireless Networks
Signal Processing Methods for Doppler Radar Heart Rate Monitoring
Multimodal Fusion for Car Navigation Systems
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
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.

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