EE630 FALL 2008

DIGITAL SIGNAL PROCESSING

Updated 12-15-08

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Syllabus

Visualizations

V5: Flat Top Sampling Model

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Course Schedule

PROJECTS

PROJECT A: Description, Data

PROJECT B: Description, Data

PROJECT C: Description, Data

PROJECT D: Description, Pattern Data and Calibration G file

MATLAB functions specifically for mat5 data

PROJECT E: Blurring an Image with Camera Model

References: Linear Triangulation paper (request LGH to send you)

MAT5 VIEWER

PLEASE READ LICENSE AGREEMENT

GL3Dview will allow you to view, rotate, zoom and crop the mat5 data. Use load to select the “C.bmp” file and it will load the associated mat5. Use the “Left Mouse Button” to crop by selecting the “Select” button, click drag a box around what you want, then click the “Apply” button to crop.

http://www.engr.uky.edu/~lgh/soft/GL3DView.exe

Tutorial GL3DView_GL3DViewerTutorial.avi

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LECTURE NOTES

Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 4 HW example 2.16

Lecture 5 Stochastic Signal Processing Part A

Lecture 6 Z Transform Introduction

Lecture 7 Inverse Z Transform using contour integration

Lecture 8 Inverse Z Transform using PFE

Lecture 9 Z Transform Properties

Lecture 10 Zform analysis of oscillator

Lecture 11A Sampling Theory

Lecture 11 Down Up Sampling

Lecture 12 Quantization

Lecture 13 Noise Shaping

Lecture 14 Transform Analysis of LTI Systems

Lecture 15 LTI Analysis

Lecture 16 IIR Filters

Lecture 17 Filter Structures

Lecture 18 IIR Impulse Invariance

Lecture 19 IIR Bilinear Transform

Lecture 20 IIR Frequency Sampling

Lecture 21 FIR Window Design

Lecture 22 Camera Blurring Model