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.
Textbooks:
1.
John R. Buck, Alan V. V. Oppenheim, Alan V.
Oppenheim, and Ronald W. Schafer,
DiscreteTime Signal Processing, 2^{nd} ed., Prentice
Hall, 1998.
2.
C. Sidney
Burrus, James C. McClellan, et al., ComputerBased 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:
 Introduction
 Overview
of digital signal processing (DSP).
 Overview
of biomedical applications of DSP.
 DiscreteTime
Signals and Systems
 Sampling
and discrete form of signals.
 Discrete
systems
 Convolution
 Difference
equations
 DiscreteTime
Fourier Analysis
 Review
of Continuous Fourier transform (CFT)
 Discretetime
Fourier transform (DTFT).
 Frequency
domain analysis of linear time invariant systems
 Analysis
of sampling and reconstruction of analog signals.
 The
zTransform
 Definition
and of forward ztransform
 Inversion
of ztransform
 Solution
of difference equations
 Sampling
 Representation of sampling in the frequency domain

Recovery of continuous domain signals from discrete samples
 Discretetime
processing of continuous signals
 Quantization
errors and other sources of error.
 The
Discrete Fourier Transform (DFT)
 The
discrete Fourier series analysis
 Sampling
and reconstruction in the zdomain
 The
discrete Fourier transform (DFT)
 Linear
and circular convolution using DFT
 The
Fast Fourier Transform (FFT)
 Introduction
to Digital Filters
 FIR
vs. IIR filters
 Implementation/realization
structures
 FIR
Filter Design
 Properties
of linear phase FIR filters
 Window
design techniques
 Frequency
sampling design techniques
 Optimal
equiripple design technique
 IIR
Filter Design
 Characteristics
of classical analog filters
 Design
using transformation methods
 Applications
 Doppler
signal processing
 MR
sampling design