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Course Goals and Objectives 
¡¡
The objective of this course is to make students
understand and cultivate the principles and applications
of digital signal processing in graduate level, and
expand the concepts to the advanced topics.

Textbook and other
references 
[Text books]
1. Y. H. Ha, Digital Signal Processing, Green, 2009
2. A. V. Oppenheim and R. W. Schafer, DiscreteTime
Signal Processing, Second Edition, Prentice Hall, 1998
[References]
1. J. G. Proakis and D. G. Manolakis, Digital Signal
Processing Principles, Algorithms, Applications,
PrenticeHall, 1996
2. E. C. Ifeachor and B. W. Jervis, Digital Signal
Processing, Second Edition, Prentice Hall, 2002

Course Description, Methods,
and Materials 
¡¡
Give lectures with using Power Point slides of lecture
materials

Assignments, Grading
Criteria, and Prerequisite Subject 
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Evaluation: 1st Quiz (30%), 2nd Quiz (30%), 3rd Quiz
(30%), and Homework and Programming Assignments (10%),
Prerequisite: basic knowledge to Signals and Systems

Notice To Students 
¡¡
Skill in C++ programming language
¡¡ 
Notice To Students with
Disabilities 
¡¡
Hearing Impaired: first row priority seating, class
transcripts may also be provided.
¡¡  
no 
Course Goals and
Objectives 
Assignments 
Text & Materials 
Etc. 
1 
I. Fundamental Theory and Principles of Digital Signal
Processing
1. Analog signals and systems
Fourier series, Fourier transform 

DSP (Ha)
DSP (Ifeachor) 

2 
Laplace transform, Impulse function, Convolution,
Transfer function, Analog Butterworth filter

H/W #1 : Fourier and Laplace transforms of various
functions 
DSP (Ha)
DSP (Ifeachor) 

3 
2. Sampling
Sampling theorem, Signal reconstruction,
A/D and D/A converters
Quantization


DSP (Ha)
DSP (Ifeachor)
DTSP (Oppenheim) 

4 
3. Discretetime signals and transform
DFT and FFT, Discrete convolution, Truncation and window
functions

Programming #1 : FFT and spectral window 
DSP (Ha)
DSP (Ifeachor) 

5 
1st Quiz


¡¡ 

6 
4. Z transform
Z transform and Inverse Z transform


DSP (Ha)
DSP (Ifeachor)
DTSP (Oppenheim)
¡¡ 

7 
5. Discretetime systems
Difference equation, LTI discretetime system,
Stability, Frequency response,
Structures and implementations of discretetime systems

H/W #2 : Z transforms of various functions 
DSP (Ha)
DSP (Ifeachor)
DTSP (Oppenheim)
DSP (Proakis)
¡¡ 

8 
6. FIR digital filter design
Windowing method, Optimal methods

H/W #3 : Frequency and phase responses of discretetime
systems 
DSP (Ha)
DSP (Ifeachor)
DTSP (Oppenheim)
DSP (Proakis)
¡¡ 

9 
7. IIR digital filter design
Impulse invariant method, Bilinear z transformation
method

Programming #2 : Design of FIR digital filter 
DSP (Ha)
DSP (Ifeachor)
DTSP (Oppenheim)
DSP (Proakis)
¡¡ 

10 
2nd Quiz




11 
II. Advanced Topics of Digital Signal Processing
1. Changing sampling rate using discretetime processing


DTSP (Oppenheim)
DSP (Proakis) 

12 
2. Inverse systems, Allpass systems, Minimumphase systems


DTSP (Oppenheim)
DSP (Proakis) 

13 
3. Finiteprecision numerical effects, Effects of coefficient quantization


DTSP (Oppenheim)
DSP (Proakis) 

14 
4. Effects of roundoff noise in digital filters, Zeroinput limit cycle in IIR digital filters


DTSP (Oppenheim)
DSP (Proakis)


15 
3rd Quiz



 
Cheating, plagiarism, and other dishonest practices will be punished as harshly as Kyungpook National University policies allow. The University specifies that cheating is grounds for dismissal. Penalties less severe may be imposed instead. A list of possible disciplinary actions is given below. Actions by the university:
 Failure in course
 Suspension from university for a designated period
 Expulsion from university
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