EEE 503EEE 503 Digital Signal Processing Digital Signal Processing

Lecture #1 : IntroductionLecture #1 : Introduction

Dr. Panuthat BoonpramukDepartment of

Control System & Instrumentation Engineering

KMUTT

Contacting Information

InstructorPanuthat Boonpramuk, Ph.D.

Office: CB4060402-470-9095

Panuthat.boo@kmutt.ac.th

Office HourTuesday, 13:30 – 16:00 pm

Image Processing : Apollo กั�บ ภาพถ่ายดวงจั�นทร์

Magnetic Resonance Imaging (MRI)

Towed array sensor

Array sensor : Characteristics

• NoiseNoise

•Reverberation

• etcetc

Hearing aids

Echo in telephone systemEcho in telephone system

Wireless Communication

Other application of DSP

•cell phone (2G and after), modem•CD, DVD•computer, simulation…•Speech processing• Image processing•Bio-medical instrument•Bio-engineering•etc

Advantages of using DSP•data compression

•undistorted signal transmission

•security of data communications

• representation of signals in discrete-time format

• fast & convenient implementation of signal processing systems

•…

Problem (1)Problem (1)•How to use a digital signal to represent an

analog signal?

•How many samples are necessary?

•What happen if there are no enough samples?

Problem (2)Problem (2)

• If the signal is contaminated, how to remove or mitigate the undesired signal component?

Course Arrangement• Text Book:

A. V. Oppenheim, R. W. Schafer, and J. R. Buck,Discrete-Time Signal Processing, 2nd Ed., Prentice Hall, 1999.

• Ch. 2 Discrete-Time Signals & Systems• Ch. 3 The z-Transform• Ch. 4 Sampling of Continuous-Time Signals• Ch. 5 Transform Analysis of Linear Time-Invariant

Systems• Ch. 7 Filter Design Techniques• Ch. 8 The Discrete Fourier Transform• Ch. 9 Computation of the Discrete Fourier Transform • Overview of some application of DSPOverview of some application of DSP

GradingGrading• Mid-Term Test 30 %Mid-Term Test 30 %

• Final Test 40 %Final Test 40 %

• Homework 20 %Homework 20 %

• Mini test 10 %Mini test 10 %

*** Not less than 40 % ****** Not less than 40 % ***