BGL/SNU1 Introduction to Digital Signal Processing Fall 2003 Byeong Gi Lee School of Electrical Engineering Seoul National University EE

BGL/SNU2 Chapter1. INTRODUCTION to DSP 1.0 Introduction 1.1 Analog vs. Digital 1.2 Applications 1.3 Why Digital? 1.4 Digital Signal Processing 1.5 Course Description

BGL/SNU Analog vs. Digital i) Signal Analog : voice, audio, video, …. Digital : digitized analog signal, data ii) Processing Analog : passive/active filtering AM, FM, PM modulation Fourier, Laplace transform Digital : FIR/IIR filtering AM, windowing Discrete Fourier transform, z-transform

BGL/SNU Analog vs. Digital (cont’d) iii) System Analog : R, L, C, Op-amp, switch, … Digital : adder, multiplier, memory, … differential equation difference equation iv) Theory Circuit theory DSP theory

BGL/SNU Applications Processing system Information Signal Recognition - radar, sonar, seismic, … Storage Transmission Processing system Display Information Communications Storage Media

BGL/SNU Applications (cont’d) i) Processing - filtering, modulation, transform, deconvolution - A/D, D/A conversion, coding ii) Storage - LP, tape (analog) - CD, DVD (digital) iii) Transmission - FDM, FDMA, TDMA (analog) - TDM(PCM), CDMA (digital)

BGL/SNU7 - Environmental change! Global communication - noise immunity Multimedia communication - integration Networking - encryption, packetizing Wireless, mobile - encryption, compression 1.3. Why Digital?

BGL/SNU Digital Signal Processing Computer-aided approximation Exact self-containing processing Processing complexity Computing capability Implementation means FAST-ENOUGH * invention of FFT, Cooley Tukey, 1965 DSP is realizable (real-time processing)

BGL/SNU Digital Signal Processing (cont’d) Theoretical support - DSP theory Environmental demand Microelectronics support - processing + storage + logic devices

BGL/SNU Course Description Objective : To study the theoretical fundamentals on Digital Signal Processing and the mathematical foundations for sampling, discrete-time Fourier Transform, filtering, fast computation techniques and confirm them through computer programming. Text : Discrete-Time Signal Processing, 2nd ed., A. V. Oppenheim & R. W. Schafer, Prentice-Hall Reference : Digital Signal Processing, 2nd ed., Sanjit K. Mitra, McGraw-Hill Homepage : tsp.snu.ac.kr

BGL/SNU11 Week 1 Chap 1. Introduction, Chap 2. Discrete-time signals and systems Week 2 Chap 2. Discrete-time signals and systems (CHUSEOK) Week 3 Chap 3. z-transform Week 4 Chap 4. Sampling & Discrete- and continuous-time signal processing Week 5 Chap 5. Frequency response of LTI systems Week 6 Chap 5. All-pass and Minimum-phase system Week 7 Midterm (Univ. Anniversary, Student Festival) Week 8 Chap 6. Basic structure for LTI systems Week 9 Chap 6. FIR & IIR systems, Chap 7. FIR & IIR filter design Week 10 Chap 7. FIR & IIR filter design Week 11 Chap 8. Discrete Fourier Transform Week 12 Chap 8. Discrete Fourier Transform Week 13 Chap 9. Fast transform computation Week 14 Overall Review and Problem Solving (GLOBECOM) Week 15 Final Exam 1.5. Course Description (cont’d) Fall 2003