MATLAB Digest - January 2007

Signal Processing Courses at Georgia Tech

The following courses use MathWorks products and are offered for students, practicing engineers, and researchers through Georgia Tech Professional Education:

• Fixed-Point Signal Processing Systems
• Signal Processing for Efficient Hardware Implementation

Fixed-Point Signal Processing Systems

Course Description

More than 90 percent of signal processing systems use finite-precision (or fixed-point) arithmetic. Gain an in-depth look into designing fixed-point signal processing systems including extensive laboratory time to explore concepts. The course starts with a brief review of pertinent DSP concepts, and then covers notation and fixed-point filtering fundamentals, noise analysis, scaling issues, multirate systems, and system performance analysis.

MATLAB is used throughout the course to illustrate concepts and solve problems.

Learning Objectives

• Understand the issues in fixed-point signal processing
• Be able to effectively design a fixed-point signal processing system

Location	Georgia Tech Global Learning Center, Atlanta, GA
Dates	April 10, 2007 – April 13, 2007 (four-day course)
Instructors	Dr. David Anderson, Professor, School of Electrical and Computer Engineering at Georgia Tech Dr. Wayne Padgett, Associate Professor, Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology
Learn more and register

 

Signal Processing for Efficient Hardware Implementation

Course Description

For high performance and/or low-power signal-processing systems, algorithms are often implemented in FPGAs or ASICs. Gain a thorough introduction to designing fixed-point signal-processing systems targeted at hardware implementation. Explore concepts in class and in the laboratory. Begin with a brief review of pertinent DSP concepts and then continue to filter architectures, transforms, and a variety of implementation tricks and tools.

MATLAB is used throughout this course to illustrate concepts and solve problems.

Learning Objectives

• Finite word length design techniques
• Efficient and robust filter architectures
• Pipelined architectures
• Distributed (bit-serial) arithmetic and multiplierless architectures
• Transforms
• VHDL implementation of the architectures discussed

Location	Georgia Tech Global Learning Center, Atlanta, GA
Dates	March 27, 2007 – March 30, 2007 (four-day course)
Instructors	Dr. David Anderson, Professor, School of Electrical and Computer Engineering at Georgia Tech Tyson Hall, Assistant Professor, School of Computing at Southern Adventist University
Learn more and register