Morning Tutorial 1

• Objective: Digital signal processing is a fundamental enabling technology for communications, consumer electronics, computer peripherals, and defense electronics, and it is even beginning to play a major role in such areas as automotive systems and electric motor technology. MATLAB is a powerful computation and graphics software system that makes it very easy to experiment with and develop DSP algorithms. This course will introduce engineers to some of the basic methods of DSP such as frequency analysis and filtering along with the MATLAB software tools that are available for doing these operations. The goal is to show how a good understanding of the underlying concepts is important in effective use of the powerful MATLAB DSP tools.

• Abstract: Two of the most important DSP techniques are frequency analysis and linear filtering. This course will provide a parallel development where the fundamental mathematical methods are discussed and then illustrated using the DSP tools of MATLAB. Examples drawn from speech, music and image processing will be used to illustrate discrete Fourier analysis and synthesis. The MATLAB functions for the FFT and the spectrogram will be presented as software tools for operating on recorded signals. The second area of digital filtering will be presented in three stages: First, A-to-D and D-to-A conversion will be analyzed; second, digital filters and their design will be discussed. Numerous MATLAB GUIs for doing design and signal exploration have been developed and will be demonstrated. Finally, examples of processing analog signals with digital filters will be presented.

• Outline:
  
  
  • Introduction and Examples
    
    
    • Sinusoidal signals
    • Sound & music
    • Images
    
    
  • Frequency Analysis
    
    
    • MATLAB's functions freqz, fft, and specgram
    
    
  • Sampling
    
    
    • Aliasing and signal reconstruction illustrated
    
    
  • Digital Filters
    
    
    • FIR and IIR filters
    • Design Software
    
    
  • Illustrations of Digital Filtering of Analog Signals
    
    
    • Image blurring
    • Bandpass filtering of speech
    
    
  
  
• Speaker's Biographies:
  
  

  • James H. McClellan received the B.S. degree in Electrical Engineering from L.S.U. in 1969, and the M.S. and Ph.D. degrees from Rice University in 1972 and 1973, respectively. From 1973 to 1982, he was a member of the research staff at Lincoln Laboratory and then a professor at MIT. From 1982 to 1987, Dr. McClellan was employed by Schlumberger Well Services. Since 1987, he has been a Professor in the School of Electrical and Computer Engineering at Georgia Tech.

    He is a co-author of the texts "Number Theory in Digital Signal Processing," "Computer Exercises for Signal Processing," and "DSP First: A Multimedia Approach." In 1998, Prof. McClellan received the W. Howard Ector Outstanding Teacher Award at Georgia Tech. In 1996, he received the Society Award from the IEEE Signal Processing Society, and in 1987, the Technical Achievement Award for work on FIR filter design. He is a Fellow of the IEEE and a member of Tau Beta Pi and Eta Kappa Nu.

  • Ronald W. Schafer received the B.S.E.E. and M.S.E.E. degrees from the University of Nebraska, Lincoln, in 1961 and 1962 respectively, and the Ph.D. degree from the Massachusetts Institute of Technology, Cambridge, in 1968. From 1968 to 1974 he was a member of the Acoustics Research Department, Bell Laboratories, Murray Hill, New Jersey, where he was engaged in research on speech analysis and synthesis, digital signal processing techniques, and digital waveform coding. Since 1974 he has been on the faculty of the Georgia Institute of Technology, where he is now John and Marilu McCarty Professor and Institute Professor of Electrical and Computer Engineering. His current research interests include speech and video processing, nonlinear signal processing systems, applications of signal processing in multimedia communication systems, and applications of signal processing in biology and medicine. He is coauthor of seven textbooks, including "DSP First: A Multimedia Approach" and the recently published second edition of "Discrete-Time Signal Processing." He has been active in the affairs of the IEEE Acoustics, Speech, and Signal Processing Society, having served as Associate Editor of the Transactions, member of several committees, Vice-President and President of the Society, and Chairman of the 1981 ICASSP.

    Dr. Schafer is a Fellow of the IEEE and the Acoustical Society of America and he is a member of the National Academy of Engineering. He was awarded the Achievement Award and the Society Award of the IEEE ASSP Society in 1979 and 1983 respectively; the 1983 IEEE Region III Outstanding Engineer Award; and he shared the 1980 Emanuel R. Piore Award with L. R. Rabiner. In 1985 he received the Class of 1934 Distinguished Professor Award at Georgia Tech, and he received the 1992 IEEE Education Medal.

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Last Update:  February 4, 1999         Ingo Höntsch