Introduction:
The focus of this report is to display how individual music notes can be represent by sine functions of certain frequency and how these can be combined together to create musical scores mathematically. Procedure one covers the creation of in
Lab 3: The z-plane, impulse and frequency responses David Rochier 0632577 July 22, 2009 EE 341 Summer 09
Introduction: Throughout this report we analyze different pole zero plots and filter designs based on these plots. Using the Pole Zero Editor provided
Home work 3
Problem #1
(a) Find the power developed by the 3 A current source in the circuit from Fig. 1.
(b) Find the power developed by the 60 V voltage source in the circuit from Fig. 1.
(c) Verify that the total power developed equals the total power
Homework 1: BEE 215
1. The manufacturer of a 9V battery, like the one in your smoke detectors at home, claims
that their battery will run continuously for 80 hours and deliver a steady 20 mA. During
that time the voltage will drop more or less linearly fr
BEE 341 Discrete-time Linear Systems
Homework 1
Due date: 1/25/2016
Instruction: Work out the problems and show all steps of your solutions. When plotting graphs, put label
on all axes. Write neatly and legibly.
1. Given the following discrete-time signal
diary Paul_Hagex2
%INSERT your name and section into these display commands
disp('NAME: Paul Tuen Samer')
disp('SECTION: BEE 235')
datestr(cputime)
%compexp.m produces a 3D plot of a decaying complex exponential,
% with subplots of magnitude and phase and
diary Paul_Hagex1
%INSERT your name and section into these display commands
disp('NAME: Paul Tuen Samer')
disp('SECTION: BEE 235')
datestr(cputime)
0ampedCosine.m produces a plot of a cosine with frequency 1/2 Hz, with
amplitude
% scaled by a decaying exp
diary Paul_Hagex2
%INSERT your name and section into these display commands
disp('NAME: Paul Tuen Samer')
disp('SECTION: BEE 235')
datestr(cputime)
%compexp.m produces a 3D plot of a decaying complex exponential,
% with subplots of magnitude and phase and
diary Paul_Hagex2
%INSERT your name and section into these display commands
disp('NAME: Paul Tuen Samer')
disp('SECTION: BEE 235')
datestr(cputime)
%compexp.m produces a 3D plot of a decaying complex exponential,
% with subplots of magnitude and phase and
Home work 2
Problem # 1
Find (a) i0 , (b) i1 , and (c) i2 in the circuit shown below.
Problem #2
Find the equivalent resistance, Rab for each of the circuits shown below
Problem #3
Use voltage division or current division to find the specified voltage or
7/6/2015
EE 341:DISCRETE TIME LINEAR SIGNALS
AND SYSTEMS
LECTURE #8
UW EE TC Chen
PERIODICITY PROPERTIES OF DISCRETE-TIME
COMPLEX EXPONENTIALS
Any discrete-time periodic sequence [] is complete
specified by a finite number .
There is no convergence issu
Lab 2: Introduction to Image Processing David Rochier 0632577 July 22, 2009 EE 341 Summer 2009
Introduction: This report will show how different approaches to image processing and alteration are established using the MATLAB program. Convolution is extreme
6/23/2015
EE 341:DISCRETE TIME LINEAR SYSTEMS
LECTURE #2 (1.1 SIGNALS AND ENERGY,
POWER,
UW EE TC Chen
SIGNALS AND SYSTEMS DEFINED
A signal is any physical phenomenon which conveys
information
Systems respond to signals and produce new signals
Excitati
6/30/2015
EE 341:Discrete time signals and
systems
Lecture #6
UW EE TC Chen
DISCRETE TIME PERIODIC FUNCTIONS
Periodic signals are defined analogously in discrete time.
Specifically, a discrete time signal [] is periodic with period
, where is a positive i
7/1/2015
EE 341:Discrete time signals and
systems
Lecture #7
UW EE TC Chen
EVEN AND ODD SIGNALS
Every signal sum of an odd and even signal.
1
1
= + [] + []
2
2
The even and odd parts of a signal
1
= + []
2
1
= []
2
And
0 = 0
0 = 0
UW EE TC Chen
1
7/1
7/8/2015
EE 341:DISCRETE TIME LINEAR SIGNALS
AND SYSTEMS
LECTURE #10
UW EE TC Chen
TEST TIME INVARIANCE
Example 1: test if the system is time-invariant.
Given = [2]
1. Find 0
0 = [2 0 ]
2. Find 0
0 = [2 0 ]
3. Compare, it is NOT TI
UW EE TC Chen
1
7/8/2
6/24/2015
EE 341:Discrete time signals and
systems
Lecture #3
UW EE TC Chen
Energy and Power signals
All physical activity is mediated by a
transfer of energy. No real physical
system can response to an excitation
unless it has energy.
UW EE TC Chen
1
6/2
6/29/2015
EE 341:Discrete time signals and
systems
Lecture #5
UW EE TC Chen
SIGNAL TRANSFORMATION
Example: How about z = [2/3]
Now speed up first, = [2]
[]
[]
[]
0
[0]
2
1
[1]
0
2
[2]
2
3
[3]
0
-1
[1]
0
UW EE TC Chen
1
6/29/2015
SIGNAL TRANSFORMATION
Exam
7/7/2015
EE 341:DISCRETE TIME LINEAR SIGNALS
AND SYSTEMS
LECTURE #9
UW EE TC Chen
DETERMINING MEMORY
Memoryless: The output depends only on
the current value of the input
If [] = [] depends only on []
UW EE TC Chen
1
7/7/2015
MEMORY EXAMPLES
Examples: tes
Spring 2009 EE 341 Lab 4: The FFT and Digital Filtering Due: In your discussion section June 2-5 When using a digital computer, frequency analysis means using a Fast Fourier Transform (FFT). This necessitates we spend some time becoming familiar with usin