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symbol grounding problem: How is the meaning of words and utterances grounded in the dynamics of the brain and in the evolution of beings alive;
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Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface;
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from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics;
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Introduction to Electrophysiological Methods and Instrumentation, Second Edition covers all topics of interest to electrophysiologists;
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, mechanism of arrhythmias, the different methods of recording and analysis of high resolution, signal processed electrocardiograms and their clinical;
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Electrophysiological methods are used at nearly all levels of biological research today. From basic science investigation to bringing new;
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component analysis* Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information;
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methods in signal analysis and treatment are introduced and described in depth. More in details, the book covers the following new advanced topics;
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presenting key concepts and providing the mathematical foundations and advanced algorithms that are essential to the design of any signal processing;
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processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB (R) also offers practical guidance on;
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Regulators of G Protein Signaling, Part A is an in-depth treatment of G-Protein Signaling, and will cover general methods of analysis;
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ultrasound and medical ultrasound. The advantages of ultrasound include flexibility, low cost, in-line operation, and providing data in both signal;
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Signal analysis gives an insight into the properties of signals and stochastic processes by methodology. Linear transforms are integral to;
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This book presents the cutting-edge technologies of knee joint vibroarthrographic signal analysis for the screening and detection of knee;
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This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and;
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consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and;
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consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and;
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advanced microsensors technologies require new and equally advanced methods of frequency signal processing in order to function at inreasingly high;
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scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge;
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reference work for advanced students and practitioners in wavelets, and wavelet transforms, signal processing and time-frequency signal analysis;
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Based on the authors' research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB (R) addresses many concepts;
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, presentation of electrophysiology in three sections that is of use to both the clinician and the researcher. The first section describes the analysis;
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damage during ship collisions. The book encapsulates reliable and fast analysis methods for collision and grounding assessment, presenting;
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A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice;
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in these conditions. Key case studies, where advanced signal processing methods are used to detect failures of gearboxes and bearings of wind;
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>Uncertainty management Analysis of biomedical signals A guided tour of neural networks Application of algorithms to EEG and;
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design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key;
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