Introduction to Digital Signal Processing EE420.461 Introduction to Digital Signal Processing Spring 2002 Byeong Gi Lee School of Electrical Engineering Seoul National University

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

1.1. 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

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

1.2. Applications Information Processing system Recognition Signal - radar, sonar, seismic, … Storage Media Storage Processing system Display Transmission Communications Information

1.2. 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)

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

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

It is time, time is matured for “DSP-only”! 1.4. Digital Signal Processing (cont’d) It is time, time is matured for “DSP-only”! Theoretical support - DSP theory Environmental need Microelectronics support - processing + storage + logic devices

1.5. 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

1.5. Course Description (cont’d)    Week 1 Chap 1. Introduction to DSP     Week 2 Chap 2. Discrete-time signals and systems, Chap 3. z-transform     Week 3 Chap 3. z-transform, Chap 4. Sampling     Week 4 Chap 4. 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     Week 8 Chap 6. Basic structure for LTI systems     Week 9 Chap 6. FIR & IIR systems     Week 10 Chap 7. FIR & IIR filter design     Week 11 Chap 7. FIR & IIR filter design     Week 12 Chap 8. Discrete Fourier Transform     Week 13 Chap 8. Discrete Fourier Transform     Week 14 Chap 9. Fast transform computation   Week 15 Final Exam