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

2. 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

3. 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

4. 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

5. 1.2. Applications
Information
Processing system
Recognition
Signal
- radar, sonar, seismic, …
Storage Media
Storage
Processing system
Display
Transmission
Communications
Information

6. 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)

7. 1.3. Why Digital?
- Environmental change!
Global communication - noise immunity
Multimedia communication - integration
Networking - encryption, packetizing
Wireless, mobile - encryption, compression

8. 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)

9. 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

10. 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

11. 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