381DP321:
Digital Signal Processing
Last update on August 27, 2014
Doug Young Suh
suh@khu.ac.kr
3/14/2016
Class materials
 Class


material download
Webdisk.khu.ac.kr ~/note
Guest login UN: 006187 PW: dsp2014
 Class
hour: TTH10:30-11:45 Rm???
 First note
 Haykin_ch1_RB.ppt
Meeting
 Billboard


meeting
http://cmm.khu.ac.kr signals & systems
I welcome your questions.
 Face-to-face
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meeting
ITSD Building Incubator 5
020-5436-4451
suh@khu.ac.kr
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Textbook and grading policy

Oppenheim and Schafer
“Discrete-time Signal Processing 2ed.”
 Chapter 1~4 with right brain
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Chapter 1. Introduction
Chapter 2. Discrete-time Signals and Systems
Chapter 3. The Z transform
Chapter 4. Sampling of Continuous-time Signals
Chapter 5. Transform Analysis of LTI Systems
3 Quizes (70%) : 20% + 20% + 30%
 3 Homeworks(20%) : C/C++ programming
 Attendance (10%)

DSP Family
Oppenheim(MIT)
The founder of the DSP field
Ph.D.
Schafer(Ga.Tech)
Ph.D.
Ph.D.
Mercereau(Ga.Tech)
Ph.D.
Committee
Doug Young Suh(KHU)
You
3/14/2016
in DSP321
Media Lab. Kyung Hee University
5
DSP with Right Brain
 DSP
only with images without equations
Do not give up quiz1 because of math.
 Understanding concept produces new concept.
 Understanding concept makes you boss.

3/14/2016
Media Lab. Kyung Hee University
6
C/C++ Homework

Modifying well-proven programs
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
Webdisk.khu.ac.kr
Guest login UN: 006187 PW: dsp2014
Refer to *.doc and *.avi files.

Full 10 points if you submit
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
Do not include whole C-source


Bonus to better idea
Bonus to better mathematical analysis
Several lines are OK.
Filename “921team_name.doc”
The Billboard
 http://cmm.khu.ac.kr
 In
the spirit of Web2.0
 Wikipedia vs. Britannica
 Let’s enhance quality of our class all
together!!
Digital signal processing?
381DP321 Digital signal processing(3-0-0): Basic of digital signal processing such
as signal and signal processing, structure of signal processing, good point and
weak point of digital signal processing. Random theory and signal reconstruction,
Indicated characteristics of time for non continuous signal and system, Fourier
transform, structure of digital filler and Finite Impulse Response (FIR) filter and
Infinite Impulse Response (IIR) filter.
signal
signal
information
Signal
Processing
Pattern
Recognition
CG or
TTS
signal
information
signal
Related subjects
Mobile
communications
381DC221
Data Communications
381CE321
381CT111
Control System
Circuit Theory I
Engineering
381PC111
Principles of
communication System
381DP321: Digital Signal Processing
381MA211: Mathematics for computer
381MA101-2 Mathematics I-II
Image
processing
CEIT of NUOL
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
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381MA101 Mathematics I: Limits, Continuity. Derivatives of functions defined by graphs, tables
and formulas. Differencing power, polynomial, exponential, trigonometric, logarithmic, inverse
trigonometric functions and differentiation. Differentiation rules: product rule, quotient rule, chain
rule, etc. Indeterminate form. In functions defined by graphs, tables and formulas. Fundamental
theorem of calculus. Parameterized curves. Optimization. Techniques of integration. Improper
integrals. Convergence and divergence of Numerical methods of integration. Applications of
integration. First and second order linear constant coefficient homogeneous and inhomogeneous
differential equations. Approximation of functions by means of polynomials. Mathematical
Induction. Sequences. Series. Taylor series. Power series. Fourier series.
381MA102 Mathematics II: (Prerequisite: 381MA101 Mathematics1): Introduction to Multivariable
Calculus. Polar coordinates. Analysis of functions of several variables, vector valued functions,
partial derivatives, and multiple integrals. Vector analysis. Optimization techniques, parametric
equations, line integrals, surface integrals and major theorems concerning their applications: Green’s
Theorem, Divergence Theorem, Gauss Theorem, Stokes Theorem, etc. Complex Variable. Functions
of a complex variable. Derivatives and Cauchy-Riemann equations. Integrals and Cauchy integral
theorem. Power and Laurent Series. Residue theory. Conformal mapping and applications. Fourier
series.
381MA211: Mathematics for computer (Prerequisite: 381MA102 Mathematics2) : Systems of linear
equations and solutions. Introduction to vector product space, bases, orthonormal bases and
applications in Fourier series, Laplace transformation, z-transformation, Fourier-transformation, etc.
Matrices a root and Eigen-functions. First order differential equations: modeling equations. Higher
order linear ordinary differential equations: Solution base problems. Linear system of first order
differential equations with constant eigenvalue method of solution. Numerical solution of initial
value problems for Difference equations and finite difference solutions. Engineering applications.
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