2. EEE 503 Digital Signal Processing Lecture #1 : Introduction Dr. Panuthat Boonpramuk Department of Control System & Instrumentation Engineering KMUTT

3. Contacting Information Instructor Panuthat Boonpramuk, Ph.D. Office: CB40604 02-470-9095 Panuthat.boo@kmutt.ac.th Office Hour Tuesday, 13:30 – 16:00 pm

4. Image Processing : Apollo กับ ภาพถ่ายดวงจันทร ์

5. Magnetic Resonance Imaging (MRI)

6. Towed array sensor

7. Array sensor : Characteristics

8. Noise Noise Reverberation etc etc Hearing aids

9. Echo in telephone system

10. Wireless Communication

11. Other application of DSP cell phone (2G and after), modem CD, DVD computer, simulation… Speech processing Image processing Bio-medical instrument Bio-engineering etc

12. 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 …

14. 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?

15. Problem (2) If the signal is contaminated, how to remove or mitigate the undesired signal component?

16. 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 DSP Overview of some application of DSP

17. Grading 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 % ***