381DP321: Digital Signal Processing Last update on August 27, 2014 Doug Young Suh 10/15/2015

Class materials  Class material download Webdisk.khu.ac.kr ~/note Guest login UN: PW: dsp2014  Class hour: TTH10:30-11:45 Rm???  First note Haykin_ch1_RB.ppt

Meeting  Billboard meeting signals & systems I welcome your questions.  Face-to-face meeting ITSD Building Incubator  Facebook? doug young suh Clan:

Textbook and grading policy  Oppenheim and Schafer “Discrete-time Signal Processing 2ed.” Chapter 1~4 with right brain 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%)

Oppenheim(MIT) The founder of the DSP field Schafer(Ga.Tech) Mercereau(Ga.Tech) Doug Young Suh(KHU) DSP Family 10/15/2015 Media Lab. Kyung Hee University 5 Ph.D. Committee You in DSP321

 DSP only with images without equations Do not give up quiz1 because of math. Understanding concept produces new concept. Understanding concept makes you boss. DSP with Right Brain 10/15/2015 Media Lab. Kyung Hee University 6

C/C++ Homework  Modifying well-proven programs Webdisk.khu.ac.kr Guest login UN: PW: dsp2014 Refer to *.doc and *.avi files.  Full 10 points if you submit Bonus to better idea Bonus to better mathematical analysis  Do not include whole C-source Several lines are OK.  Filename “921team_name.doc”

The Billboard   In the spirit of Web2.0  Wikipedia vs. Britannica  Let’s enhance quality of our class all together!!

Digital signal processing? Signal Processing signal Pattern Recognition signal information CG or TTS information signal 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.

Related subjects 381DP321: Digital Signal Processing 381PC111 Principles of communication System 381DC221 Data Communications Mobile communications Image processing 381CE321 Control System Engineering 381CT111 Circuit Theory I 381MA211: Mathematics for computer 381MA101-2 Mathematics I-II

 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.  CEIT of NUOL

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