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Biosciences

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing  
By Daniel B. Rowe. This text presents the Bayesian statistical approach to the source separation problem. The book begins with an introduction to the source separation problem and statistical material. Other Bayesian models are then introduced, leading to the discussion of the Bayesian Source Separation model with unobservable and observable sources. Then the approach is applied to a particular example in functional magnetic resonance imaging (FMRI).
Submitted: Feb 09, 2004
Nonlinear Biomedical Signal Processing, Vol 2: Dynamic Analysis and Modeling  
By Metin Akay. Written for advanced graduate students, medical researchers, and biomedical engineers, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Topics covered include the modeling of biomedical signals and systems; heart rate variability measures, models, and signal assessments; the origin of chaos in cardiovascular and gastric myoelectrical activity; and the measurement of spatio-temporal dynamics of epileptic seizures. MATLAB is used to solve example problems on dynamic systems, time-series analysis, histogram transforms, and the calculation of parameters and recurrence plots.
Submitted: Feb 09, 2004
Biomedical Signal Processing and Signal Modeling  
By Eugene N. Bruce. This book is written at a level for use in a first-semester graduate course in biomedical engineering or an advanced undergraduate course. With a biomedical engineering perspective on the theory, methods, and applications of signal processing, this book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Each chapter begins with a detailed biomedical example illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications.
Submitted: Jun 02, 2001
Modeling and Simulation in Medicine and Life Sciences, 2e  
By Frank C. Hoppensteadt & Charles S. Peskin. ISBN 0-387-95072-9. Written for students who have had one semester of calculus, this book illustrates how mathematics can be used to predict and interpret observations made in medicine and life sciences. Topics covered include the heart and circulation, gas exchange in the lungs, muscle mechanics, neural systems, population dynamics, and genetics. MATLAB is used to solve examples throughout the text. In addition, an appendix introduces the reader to MATLAB and matrices.
Submitted: Apr 26, 2002
Scattering of Electromagnetic Waves: Theories and Applications  
By Leung Tsang, Jin Au Kong & Kung-Hau Ding. This book introduces the fundamental theory of electromagnetic wave scattering and covers its application in areas such as atomic physics, medical imaging, geoscience, and remote sensing. While the emphasis of this book is on remote sensing applications, it also applies to researchers in the fields of composite materials, photonic devices, optical thin films, lasers, optical tomography, and x-ray lithography.
Submitted: Feb 09, 2004
System Theory and Practical Applications of Biomedical Signals  
By Gail D. Baura. Written for students, academic researchers, and practicing engineers, this book combines traditional digital signal processing and compartmental modeling, while including in-depth discussions of practical medical instrumentation applications and system theory. Functions from MATLAB and the Signal Processing, Wavelet, Neural Network, and Fuzzy Logic Toolboxes are referenced to solve end-of-chapter exercises.
Submitted: Feb 09, 2004
Population Ecology: An Introduction to Computer Simulations  
By Ruth Bernstein. Written for undergraduate students in ecology, population biology, or conservation, this book discusses population dynamics through time using computer simulations. The book focuses on biology rather than mathematical procedures, and teaches the programming and analyzing skills students need to create their own models of population change. MATLAB and the Symbolic Math Toolbox are used throughout the book to solve example problems.
Submitted: Feb 09, 2004
Fundamentals of Computational Neuroscience  
By Thomas P. Trappenberg. This book introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. Additionally, it introduces several fundamental network architectures and discusses their relevance, giving some examples of models of higher-order cognitive functions to demonstrate the insight that can be gained with such studies. The book also contains an introductory MATLAB chapter with numerous applicable programs.
Submitted: Feb 09, 2004
Applied Factor Analysis in the Natural Sciences  
By Richard A. Reyment & K.G. Joreskog. This textbook introduces students to powerful factor analysis techniques. It focuses on providing students with the background necessary to undertake analysis on their own. The text includes examples from botany, zoology, ecology, oceanography, and geology.
Submitted: Feb 09, 2004
Physiological Control Systems: Analysis, Simulation, and Estimation  
By Michael C. K. Khoo, ISBN 0-7803-3408-6
Submitted: Dec 24, 2003
Spikes, decisions, and actions: The dynamical foundations of neuroscience  
By Hugh R. Wilson, ISBN 0-19-852430-7
Submitted: Dec 24, 2003
Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems  
By Chris Eliasmith and Charles H. Anderson. This text is written for neuroscientists and engineers, physicists, and computer scientists interested in applying techniques of their fields to neurobiological systems. This book provides a framework for constructing neurobiological simulations through discussions of system descriptions, design specification, and implementation. Topics covered include principles of neural engineering, representation of neurons, dynamic transformations, and statistical inference and learning.
Submitted: Feb 09, 2004
Human Factors Engineering  
By Chandler Allan Phillips. Written for undergraduate engineering students, this book demonstrates how to use fundamental engineering skills to solve application problems in human factors. Topics covered in this book include: biostatic and biodynamic mechanics, quantitative workload analysis, neuromuscular control systems, and human operator control. MATLAB examples in the book allow for quantitative simulation of human operator performance that involves systems of simultaneous linear and nonlinear equations.
Submitted: Nov 10, 2001
Climate Under Cover, 2e  
By Tadashi Takakura and Wei Fang. Written for graduate students and scientists in the agricultural and biological sciences, this book presents simulation techniques used in the greenhouse industry. Topics covered include the heat balance of bare ground, covering materials, solar radiation, temperature environments under cover, and plant response to the environment. MATLAB is used throughout the book to develop mathematical models of the topics discussed.
Submitted: Feb 09, 2004



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