1 / 16

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

curran-anderson
Télécharger la présentation

EEE 503 Digital Signal Processing Lecture #1 : Introduction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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 % ***

More Related