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INTRODUCTION T
University of Illinois at Urbana-Champaign
Department of Electrical and Computer Engineering
ECE 310: Digital Signal Processing I
Chandra Radhakrishnan
Peter Kairouz
Problem Set 4
Summer 2011
Reading: Chapter 5: Sections 5.10-5.14, Chapter 8: Frequency re
University of Illinois at Urbana-Champaign
Department of Electrical and Computer Engineering
ECE 310: Digital Signal Processing I
Chandra Radhakrishnan
Peter Kairouz
Problem Set 6
Summer 2011
Reading: Chapter 10-13: FIR Filter Design, IIR Filter Design, D
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Department of Electrical and Computer Engineering
ECE 410 Digital Signal Processing
Problem Set 6
Fall 2010
Issued: 09/27/2010. Due: 10/04/2010
Prof. Bresler, Prof. Hasegawa-Johnson
Problem 1
For each of the foll
University of Illinois at Urbana-Champaign
ECE 310: Digital Signal Processing
EXAM 1: SOLUTIONS
Chandra Radhakrishnan
Peter Kairouz
Problem 1
(a) True.
(b) False. The statement is true only for LSI systems.
(c) False. Take a cascade of h1 [n] = u[n] and h
University of Illinois at Urbana-Champaign
ECE 310: Digital Signal Processing
PROBLEM SET 5: SOLUTIONS
Chandra Radhakrishnan
Peter Kairouz
Problem 1
To derive xa (t) (Xa () from Xd (), we first need to get rid of the repeated frequency component in Xd ().
University of Illinois at Urbana-Champaign
Department of Electrical and Computer Engineering
ECE 310: Digital Signal Processing I
Chandra Radhakrishnan
Peter Kairouz
Problem Set 5
Summer 2011
Reading: Chapter 8: Frequency response of LSI systems, Chapter
Appendix D
Appendix: Impulses, samples, and
delta's, Oh My!
D.1 The Dirac delta
The Dirac delta is best described as a distribution, rather than as a function, since, strictly speaking, it is
not a function. A distribution is dened as follows
A distributi
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Department of Electrical and Computer Engineering ECE 410 Digital Signal Processing
Quiz Number 1
Thursday, September 6, 2007
Student Name:
Section: Prof. Bresler / Prof. Singer
NOTE: You may not use any calculat
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Department of Electrical and Computer Engineering ECE 410 Digital Signal Processing
Quiz Number 1 Solutions
Thursday, September 6, 2007
Problem 1 (10 points) Given that
(
u[n] =
1 n0
0 n<0
plot the following disc
ECE310: Digital Signal Processing
HCMUT, August 2016
Homework 2
due: 08:30 (start of lecture) on Monday 8 August
Discrete Time Fourier Transforms
1. Calculate the DTFT of the following sequences:
(a) x[n] = ( 27 )n u[n]
(b) x[n] = ( 15 )n u[n + 3]
(c) x[n
ECE 410
University of Illinois
DIGITAL SIGNAL PROCESSING
Chapter 2
D. Munson
A. Singer
Fourier Representation of Discrete-Time Signals
As with continuous-time signals, it is often convenient to represent discrete-time signals as a
linear combination of si
3.1
ECE 410
University of Illinois
DIGITAL SIGNAL PROCESSING
Chapter 3
D. Munson
DFT Spectral Analysis
Problem: Given xa(t), compute approximate samples of Xa().
Proposed scheme:
Here we will assume xa(t) has finite support on [0, (N1) T] and is nearly ba
1.1
ECE 410
University of Illinois
DIGITAL SIGNAL PROCESSING
Chapter 1
D. Munson
A. Singer
Overview of Digital Signal Processing
Notation:
xa(t) ~ analog or continuous signal
x(n) or xn ~ sequence
1) Fourier transform of xa(t):
Xa() =
x a (t)e jt dt
Inve
University of Illinois at Urbana-Champaign
ECE 310: Digital Signal Processing
PROBLEM SET 4: SOLUTIONS
Chandra Radhakrishnan
Peter Kairouz
Problem 1
1. H(z) = z2z7
+1/9 , causal
ROC (|z| > 13 ) contains the unit circle BIBO stable
2. H(z) = z2z7
+1/9 , an
University of Illinois at Urbana-Champaign
ECE 310: Digital Signal Processing
PROBLEM SET 6: SOLUTIONS
Chandra Radhakrishnan
Peter Kairouz
Problem 1
From the difference equation:
y[n] = h0 x[n] + h1 x[n 1] + h2 x[n 2]
Y (z) = h0 X(z) + h1 z 1 X(z) + h2 z
Appendix A
Appendix on complex numbers:
A.1 complex numbers
We begin with a review of several properties of complex numbers, their representation, and some of their basic
properties. The use of complex numbers, complex-valued functions, and functions of a
ECE310: Digital Signal Processing
HCMUT, January 2014
Homework 8
due: 08:30 (start of lecture) on Thursday 16 January
Generalized Linear Phase
1. The transfer functions of three LSI systems are given below. For each system, determine if it is an FIR
or an
ECE310: Digital Signal Processing
HCMUT, January 2014
Homework 7
due: 08:30 (start of lecture) on Wednesday 15 January
z-Transforms and Frequency Response
1. Determine the two-sided z-transform of each of the following sequences, if it exists. Include wit
ECE310: Digital Signal Processing
HCMUT, January 2014
Homework 2
due: 08:30 (start of lecture) on Wednesday 8 January
Discrete Time Fourier Transforms
1. Calculate the DTFT of the following sequences:
(a) x[n] = ( 1 )n u[n]
3
(b) x[n] = ( 1 )n u[n + 2]
4
ECE310: Digital Signal Processing
HCMUT, January 2014
Homework 3
due: 08:30 (start of lecture) on Thursday 9 January
Discrete Fourier Transforms and Spectral Analysis
1. Calculate by hand the DFT of the following sequences:
(a) Length-3 DFT of cfw_3, 1, 1
ECE310: Digital Signal Processing
HCMUT, January 2014
Homework 1
due: 08:30 (start of lecture) on Tuesday 7 January
Complex Variables and Fourier Transforms
General Instructions for Homework
Collaboration on homeworks is allowed, but copying is not. Each
DIGITAL SIGNAL PROCESSING
Chapter 2:
Sampling and Reconstruction
Reference:
S J.Orfanidis, Introduction to Signal Processing, Prentice Hall , 1996,ISBN 0-13-209172-0
M. D. Lutovac, D. V. Toi, B. L. Evans, Filter Design for Signal Processing Using MATLAB
a
DIGITAL SIGNAL PROCESSING
Chapter 3:
Quantization Process and Noise Shaping
Reference:
S J.Orfanidis, Introduction to Signal Processing, Prentice Hall , 1996,ISBN 0-13-209172-0
M. D. Lutovac, D. V. Toi, B. L. Evans, Filter Design for Signal Processing Usi
DIGITAL SIGNAL PROCESSING
Chapter 1: Introduction to Digital
Signal Processing
Reference:
S J.Orfanidis, Introduction to Signal Processing, Prentice Hall , 1996,ISBN 0-13-209172-0
M. D. Lutovac, D. V. Toi, B. L. Evans, Filter Design for Signal Processing
DIGITAL SIGNAL PROCESSING
Chapter 6: Z-TRANSFORM AND ITS
APPLICATIONS TO THE ANALYSIS OF LTI SYSTEMS
Reference:
S J.Orfanidis, Introduction to Signal Processing, Prentice Hall , 1996,ISBN 0-13-209172-0
M. D. Lutovac, D. V. Toi, B. L. Evans, Filter Design
University of Illinois
Spring 2009
ECE 410
Profs. Ahuja & Liang
Midterm Exam I
Thursday, February 26, 2009
Problem
1
2
3
4
5
6
7
8
9
Total
Name
Section:
9:00 AM
2:00 PM
Score
Pts.
10
16
6
12
6
13
4
18
15
100
Score
Please do not turn this page over until t
BIM:AN
OVERVIEW
Mini project
Nguyn Bo Sn ILI13170
Table of Contents
I/Abstract.1
II/Introduction.1
III/Understand BIM.2
1/BIM as a technology.2
2/BIM as a process.3
IV/BIM Applications in the Project Life Cycle.4
1/BIM and Proj
NATIONAL UNIVERSITY OF HO CHI MINH CITY
UNIVERSITY OF TECHNOLOGY
FALCULITY OF ELECTRICAL & ELECTRONIC
Department of Control & Automation
-o0o-
MINI PROJECT
DC MOTOR CONTROL
MENTOR:
Dr.Nguyn Trng Ti
Student 1:
Dng Tin t
ID:
ILI13028
Student 2:
Ng Quc Hng
I
Project: Measure The Temperature Using PT100 And
Practical Application
Group 3:
on Ngc Sn ILI13169
H Song Nht Nguyn ILI13121
Trng Nguyn Anh Minh ILI13106
I.
Requirement :
1. Firstly, In general industry, especially in production line, we have to make sure
Vietnam National University
Ho Chi Minh City University of Technology
Computer Network
Machine
Problems
Instructor:
PhD. Tra Luu Thanh
Student Name:
Anh Minh
Truong Nguyen
ID Number: ILI13106
Class:
CT13COA2
June, 25th 2017
MACHINE PROBLEM
1
Problem 1
Use