Eee 503 digital signal processing lecture 1 introduction
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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 [email protected] Office Hour

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EEE 503 Digital Signal Processing Lecture #1 : Introduction

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Eee 503 digital signal processing lecture 1 introduction

EEE 503 Digital Signal ProcessingLecture #1 : Introduction

Dr. Panuthat Boonpramuk

Department of

Control System & Instrumentation Engineering

KMUTT


Contacting information

Contacting Information

Instructor

Panuthat Boonpramuk, Ph.D.

Office: CB40604

02-470-9095

[email protected]

Office Hour

Tuesday, 13:30 – 16:00 pm


Image processing apollo

Image Processing : Apollo กับ ภาพถ่ายดวงจันทร์


Magnetic resonance imaging mri

Magnetic Resonance Imaging (MRI)


Towed array sensor

Towed array sensor


Array sensor characteristics

Array sensor : Characteristics


Hearing aids

Hearing aids

  • Noise

  • Reverberation

  • etc


Echo in telephone system

Echo in telephone system


Wireless communication

Wireless Communication


Other application of dsp

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

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

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


Grading

Grading

  • Mid-Term Test 30 %

  • Final Test 40 %

  • Homework 20 %

  • Mini test 10 %

    *** Not less than 40 % ***


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