This page has been produced for providing students with general informations and guidelines on the course of Digital Signal Processing. If you have any questions after reading this page, send a mail to your professor.
You can download the following information written in PDF format. Click SYLLABUS, print, and bring the hardcopy to the first class hour!!!
COURSE NAME
l Digital Signal Processing (Undergraduate EEE3011 Class)
LECTURER
l Professor Joong Kyu Kim(Rm#: 21225, Tel: 0312907122)
COURSE OBJECTIVE
l To learn theoretical fundamentals on digital signal processing and its applications as well as relevant programming skills.
COURSE DESCRIPTION
l Analysis and processing techniques used in digital signal processing. Sampling of continuous signals and interpolation of discrete signals. A/D and D/A conversion. Time series analysis of waveforms, ztransform, complex convolution theorem. Transform analysis od DLTI systems, introduction to FIR, IIR filters and FFT.
PREREQUISITE
l SIGNALS and SYSTEMS & MATLAB programming
TEXTBOOK
l DiscreteTime Signal Processing by Oppenheim and Schafer, Prentice Hall
l Signal Processing First by McClellan, Schafer, and Yoder Prentice Hall
REFERENCE
l Introduction to Signal Processing by Orfanidis
l Introductory Digital Signal Processing by Lynn and Fuerst
l Analog and Digital Signal Processing by Ambardar, PWS
CLASSNOTE
l For your convenience, the classnote in PS and PDF forms will be distributed via this website. Visit Classnotes section, and download or print the classnote!
Note:
Also, in order for you to read and/or print the classnotes in PS form, you must download the viewer program "Ghostview" in your computer. Visit first the download site, and be sure to download the program before you get the classnotes!!!
You must acquire both of the "gsview 4.3" and "AFPL Ghostscript 8.00"!!!
GRADE POLICY
Midterm Exam 
30% 
Final Exam 
40% 
Attendance 
10% 
Homework and Project 
20% 
Total 
100% 
Note:
l All the exams are closed books, but you may bring one page of A4 size handwritten reference sheet to each examination. (Illegal sheets will be confiscated at the place!!!)
l Attendance will be checked 5 times during the semester without advanced notice.
l No grade change will be permitted at the end of the semester. (e.g. C or D to F)
TOPICS TO COVER
l Introduction
l DiscreteTime Signals and Systems
l The zTransform
l Sampling of ContinuousTime Signals
l Transform Analysis of Linear TimeInvariant Systems
l Structures for DiscreteTime Systems
l Filter Design Techniques
l The Discrete Fourier Transform
l Computation of the Discrete Fourier Transform
l Fourier Analysis of Signals Using the Discrete Fourier Transform
l Discrete Hilbert Transforms
WEEKLY SCHEDULE
Week No. 
Detailed Topics 
Week#1 
Introduction of digital signal processing: history of evolution, applications. Discretetime signals: mathematical representation, category, typical basic signals, and comparison to continuoustime signals. 
Week#2 
Discretetime systems: definitions on memoryless, linear, causal, timeinvariant, and stable systems. DLTI(discrete LTI) system and convolution sum: interpretation and properties. 
Week#3 
Discrete systems represented by linear constant coefficient difference equations. Frequency domain representation of discrete time signals and systems: frequency response, and DTFT. Brief discussion of ideal digital filters. 
Week#4 
Concept of singular sequences: definition and examples. Properties of DTFT and introduction to discrete random signals. Sampling of continuous signals: Nyquist sampling theorem. 
Week#5 
Ztransform: introduction, concept of region of convergence(ROC). typical examples properties of ROC. Inverse ztransform: inspection, partial fraction expansion, power series expansion methods. 
Week#6 
Ztransform properties with demonstrating examples. Inverse ztransform using contour integration. 
 Midterm Examination  

Week#7 
The complex convolution theorem, Parsevals's theorem, and the unilateral ztransform. Sampling of continuous signals: Nyquist sampling theorem. 
Week#8 
Reconstruction(interpolation) of bandlimited signals: theoretical discussion, interpretation, and analysis in frequency domain. Discretetime processing of continuous signals, impulse invariant systems, and continuous processing of discrete signals. 
Week#9 
Changing the sampling rate using discretetime processing: decimation(downsampling) and interpolation(upsampling). 
Week#10 
Concept of antialiasing filter: definition, analysis, and applications. Analog to digital(A/D) conversion: analysis, quantization, and coding strategies. 
Week#11 
Digital to analog(D/A) conversion: analysis, concept of compensated reconstruction filter. Applications of decimation and interpolation to A/D and D/A. 
Week#12 
Transform analysis of DLTI systems: frequency response, phase distortion, the group delay, system function, and the inverse systems. 
Week#13 
Frequency response for rational system functions: theoretical discussion, and geometric interpretation of polezero diagrams. 
Week#14 
Structures for discretetime systems: direct form I, direct formII(canonic direct form). Signal flow graph representation. Basic structures for IIR and FIR systems: direct forms, cascade forms, and parallel forms. 
Week#15 
Discussion of digital filter design techniques: FIR and IIR filters windowing techniques. Discrete Fourier transform(DFT) revisited, and introduction to the FFT algorithms. 
 Final Examination  