The MathWorks News & Notes - January 2006

MATLAB and Simulink Based Books

• Life Sciences and Biomedical Engineering
• Simulink in the Classroom
• Signal Processing—Bridging Theory and Implementation

Life Sciences and Biomedical Engineering

Life scientists increasingly rely on computational techniques for biomedical modeling, analysis, and design. These texts use MATLAB and Simulink to apply signal and image processing, system identification, and statistics for analyzing and modeling biological systems and for developing diagnostic techniques.

Functional Magnetic Resonance Imaging
Huettel, Song & McCarthy
Sinauer Associates, 2004 
Introduces the physical, biological, and statistical principles that underlie the use of functional MRI in brain research.

Introduction to Biomedical Engineering, 2e
Enderle, Blanchard & Bronzino
Elsevier Science, 2005 
Introduces principles underlying biomedical engineering design, analysis, and modeling in computational biology, medical imaging, genomics, and bioinformatics.

Transport Phenomena in Biological Systems
Truskey, Yuan & Katz
Prentice Hall, 2004 
Presents the foundation for modeling and analyzing biological transport and reaction processes, including fluid mechanics and biochemical interactions.

Simulink in the Classroom

Simulink has been adopted in classrooms and labs as a hands-on platform for modeling, simulation, and code generation, supporting instruction and research while preparing students for careers in industry. Today more than 140 textbooks incorporate Simulink in diverse fields of study. Recent titles include:

Communications

Performance Analysis and Modeling of Digital Transmission Systems
Turin
Springer, 2004

Controls and Systems

Modellbildung und Simulation dynamischer Systeme, 2e
Scherf
Oldenbourg-Verlag, 2004

Electronics

Control of Fuel Cell Power Systems: Principles, Modeling, Analysis, and Feedback Design
Pukrushpan, Stefanopoulou, & Peng
Springer, 2004

Mathematics

高等应用数学问题的MATLAB求解
Xue
Tsinghua University Press, 2004

Mechanical Engineering

Micromechatronics: Modeling, Analysis & Design with MATLAB
Giurgiutiu and Lyshevski
CRC Press, Inc., 2004             

Signal Processing

Digital Signal Processing Laboratory
Kumar
Taylor & Francis, 2005

Signal Processing—Bridging Theory and Implementation

An increased focus on applications and hands-on experience extends the teaching of signal processing from theory to real-time implementation. These recent books support this trend:

Digital Signal Processors: Architectures, Implementations, and Applications
Kuo and Gan
Prentice Hall, 2005
Describes how to design, analyze, and implement DSP algorithms in a real-time system using MATLAB, Simulink, and Link for Code Composer Studio.

Practical Digital Signal Processing for Engineers and Technicians
Lai
Elsevier, 2004
Includes examples in analog-to-digital conversion, FIR/IIR filter design and realization, and digital signal processors, using MATLAB and Simulink.

Resources:

• MATLAB and Simulink Based Books