[Under Construction]

Course Syllabus

Course Title            Biomedical Digital Signal Processing

Class Schedule:       Saturdays 6:45p - 8:15p    (Office Hours:  Saturdays 5:45p - 6:45p)

Instructor:  Yasser M. Kadah, Ph.D.



1.       John R. Buck, Alan V. V. Oppenheim, Alan V. Oppenheim, and Ronald W. Schafer, 
Discrete-Time Signal Processing, 2nd ed.,
Prentice Hall, 1998.

2.       C. Sidney Burrus, James C. McClellan, et al., Computer-Based Exercises for Signal Processing Using Matlab, Prentice Hall, 1993.

Grading Policy: Homeworks + Class Projects + Oral Exam 40%, Final Written Exam: 60%. Attendance of at least 75% of the classes is mandatory for a passing grade.


Course Contents:

  1. Introduction
    1. Overview of digital signal processing (DSP).
    2. Overview of biomedical applications of DSP.
  2. Discrete-Time Signals and Systems
    1. Sampling and discrete form of signals.
    2. Discrete systems
    3. Convolution
    4. Difference equations
  3. Discrete-Time Fourier Analysis
    1. Review of Continuous Fourier transform (CFT)
    2. Discrete-time Fourier transform (DTFT).
    3. Frequency domain analysis of linear time invariant systems
    4. Analysis of sampling and reconstruction of analog signals.
  4.  The z-Transform
    1. Definition and of forward z-transform
    2. Inversion of z-transform
    3. Solution of difference equations
  5. Sampling
    1. Representation of sampling in the frequency domain
    2. Recovery of continuous domain signals from discrete samples
    3. Discrete-time processing of continuous signals
    4. Quantization errors and other sources of error.
  6. The Discrete Fourier Transform (DFT)
    1. The discrete Fourier series analysis
    2. Sampling and reconstruction in the z-domain
    3. The discrete Fourier transform (DFT)
    4. Linear and circular convolution using DFT
    5. The Fast Fourier Transform (FFT)
  7. Introduction to Digital Filters
    1. FIR vs. IIR filters
    2. Implementation/realization structures
  8. FIR Filter Design
    1. Properties of linear phase FIR filters
    2. Window design techniques
    3. Frequency sampling design techniques
    4. Optimal equi-ripple design technique
  9. IIR Filter Design
    1. Characteristics of classical analog filters
    2. Design using transformation methods
  10. Applications
    1. Doppler signal processing
    2. MR sampling design


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Last modified: February 14, 2012