Naional Cheng Kung University－Department of Electrical Engineering
－Gwo Giun (Chris) Lee professor－Courses

Course Name

 Digital Video SoC Design

Credits

 3

Period

 2011 Fall

Object

   This course is designed for graduate students who are interested in the design of digital System-on-a-Chip (SoC) Integrated Circuits for video applications. Together with real world state-of-the-art examples and current industrial standards, the lectures aim at establishing fundamental and central concepts of SoC design for video compression and processing. The coherency and interaction between algorithm and architecture design in VLSI will be emphasized. These rudimentary design methodologies are subsequently reinforced by industry standards and well-know silicon chips.

Schedule
  1. Representation of Digital Image and Video Signals
     
  2. Fundamentals of Image and Video Compression and Processing
     
  3. Compression Standards Overview
     
  4. Hardware Filter Design for Image and Video Processing
     
  5. Practical Coding and Standards Conversion Hardware Design
     
  6. Embedded Computing Platform Methodology
     

References
  1. V. Bhaskaran & K. Konstantinides, Image and Video Compression Standards, Kluwer Academic Pub. 1995, ISBN: 0-7923-9591-3
     
  2. A.M. Teklap, Digital Video Processing, Prentice Hall 1995, ISBN: 0-13-190075-7
     
  3. Keith Jack, Video Demystified, Harris 2001, ISBN: 1-878707-56-6
     
  4. Phillip E. Mattison, Practical Digital Video with Programming Examples in C, John Wiley 1994, ISBN: 0-471-310158
     
  5. Iain E. G. Richardson: H.264 and MPEG-4 Video Compression, John Wiely & Sons Inc., 2003, ISBN 0-470-84837-5
     
  6. Ze-Nian Li & Mark S. Drew: Fundamentals of Multimedia, Prentice Hall, 2004, ISBN: 0-13-127256-X
     
  7. Y. Q. Shi and H. Sun, Image and Video Compression for Multimedia for Engineering: Fundamentals, Algorithms, and Standards, CRC Press, 2000, ISBN: 0-8493-3491-8
     

Lecture type

 Handouts

Grade

 Homework (40%), Mid-Term Exam (20%), Final Exam (20%), Term Project (20%)

Others

 

　

Course Name

Introduction to Computers (I)

Credits

 3

Period

 2011 Fall

Object

   As we march into the age of “Information Explosion”, computer plays a very important role not only in our work, but also in our daily life. Today, computer has become a mandatory and significant tool in all areas of Electrical Engineering. Hence this course is designated for first year Electrical Engineering students in anticipation of establishing the fundamental concepts of computer structure via lectures in basics of computer and C language programming.

Schedule
  1. Computing Concepts
     
  2. Introduction to C Programming
     
  3. Structured Program Development
     
  4. Program Control
     
  5. Functions
     
  6. Arrays
     
  7. Pointers
     
  8. File processing
     
  9. Data Structures
     

References
  1. H. M. Deitel and P. J. Deitel,“ C How to Program, ”4th Edition, Prentice Hall, 2004
     
  2. J. Glenn Brookshear, “Computer Science: An Overview”10th Edition, Addison Wesley
     

Lecture type

 Handouts

Grade

 3 Exams (25% each), Homework, Quiz, and Class Performance(25%)

Others

 

 

Course Name

 Signals and Systems

Credits

 3

Period

 2011 Spring

Object

   Signals and Systems is a rudimentary course which will lead to further studies in signal processing, communication systems and control systems. This course introduces the fundamental tools required in the analysis of both the continuous-time and discrete-time signal and systems. Matlab examples and assignments are included to help students acquire an in-depth understanding of the key concepts. Topics included are linear time-invariant system analysis, Fourier series and transform, Laplace transform, Z transform, and introduction to sampling theory.

Schedule
  1. Introduction to Signal and Systems
     
  2. Linear Time-Invariant Systems
     
  3. Fourier Series Representation of Periodic Signals
     
  4. The Continuous-Time Fourier Transform
     
  5. The Discrete-Time Fourier Transform
     
  6. Time and Frequency Characterization
     
  7. Sampling Theory
     
  8. The Laplace Transform (if time permits)
     
  9. The Z-Transform
     

References
  1. A.V. Oppenheim, A.S. Wilsky, and S.H. Nawab, Signals and Systems, 2nd Ed., Prentice Hall, 1997.
     
  2. John R. Buck, Michael M. Daniel, and Andrew C. Singer, Computer Explorations in Signals and Systems, Prentice Hall, 1997.
     
  3. S. Haykin and B. Van Vanveen, Signals and Systems, 2nd Ed., Wiley, 2003.
     
  4. E. A. Lee and P. Varaiya, Structure and Interpretation of Signals and Systems, Addison-Wesley, 2003.
     
  5. G.E. Carlson, Signal and Linear System Analysis, 2nd Ed., John Wiley & Sons, 1998.
     
  6. B.P. Lathi, Signal Processing and Linear Systems, Berkeley Cambridge, 1998.
     

Lecture type

 Handouts

Grade

 2 Mid-Term Exams (20% each ),Final Exam (40%),Homework and class performance (20%)

Others