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EEE 503 Digital Signal Processing Lecture #1 : Introduction

EEE 503 Digital Signal Processing Lecture #1 : Introduction. Dr. Panuthat Boonpramuk Department of Control System & Instrumentation Engineering KMUTT. Contacting Information. Instructor Panuthat Boonpramuk, Ph.D. Office: CB40604 02-470-9095 Panuthat.boo@kmutt.ac.th Office Hour

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EEE 503 Digital Signal Processing Lecture #1 : Introduction

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

  2. 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

  3. Image Processing : Apollo กับ ภาพถ่ายดวงจันทร์

  4. Magnetic Resonance Imaging (MRI)

  5. Towed array sensor

  6. Array sensor : Characteristics

  7. Hearing aids • Noise • Reverberation • etc

  8. Echo in telephone system

  9. Wireless Communication

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

  11. 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 • …

  12. 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?

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

  14. 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

  15. Grading • Mid-Term Test 30 % • Final Test 40 % • Homework 20 % • Mini test 10 % *** Not less than 40 % ***

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