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: 031-290-7122)
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, z-transform, complex convolution theorem. Transform analysis od DLTI systems, introduction to FIR, IIR filters and FFT.
PREREQUISITE
l SIGNALS and SYSTEMS & MATLAB programming
TEXTBOOK
l Discrete-Time 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 web-site. 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
|
Mid-term Exam |
30% |
|
Final Exam |
40% |
|
Attendance |
10% |
|
Homework and Project |
20% |
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Total |
100% |
Note:
l All the exams are closed books, but you may bring one page of A4 size hand-written 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 Discrete-Time Signals and Systems
l The z-Transform
l Sampling of Continuous-Time Signals
l Transform Analysis of Linear Time-Invariant Systems
l Structures for Discrete-Time 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
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Week No. |
Detailed Topics |
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Week#1 |
Introduction of digital signal processing: history of evolution, applications. Discrete-time signals: mathematical representation, category, typical basic signals, and comparison to continuous-time signals. |
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Week#2 |
Discrete-time systems: definitions on memoryless, linear, causal, time-invariant, and stable systems. DLTI(discrete LTI) system and convolution sum: interpretation and properties. |
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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. |
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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. |
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Week#5 |
Z-transform: introduction, concept of region of convergence(ROC). typical examples properties of ROC. Inverse z-transform: inspection, partial fraction expansion, power series expansion methods. |
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Week#6 |
Z-transform properties with demonstrating examples. Inverse z-transform using contour integration. |
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--- Mid-term Examination --- |
|
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Week#7 |
The complex convolution theorem, Parsevals's theorem, and the unilateral z-transform. Sampling of continuous signals: Nyquist sampling theorem. |
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Week#8 |
Reconstruction(interpolation) of bandlimited signals: theoretical discussion, interpretation, and analysis in frequency domain. Discrete-time processing of continuous signals, impulse invariant systems, and continuous processing of discrete signals. |
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Week#9 |
Changing the sampling rate using discrete-time processing: decimation(downsampling) and interpolation(upsampling). |
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Week#10 |
Concept of anti-aliasing filter: definition, analysis, and applications. Analog to digital(A/D) conversion: analysis, quantization, and coding strategies. |
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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. |
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Week#12 |
Transform analysis of DLTI systems: frequency response, phase distortion, the group delay, system function, and the inverse systems. |
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Week#13 |
Frequency response for rational system functions: theoretical discussion, and geometric interpretation of pole-zero diagrams. |
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Week#14 |
Structures for discrete-time 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. |
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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. |
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--- Final Examination --- |
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