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ECTE906 – Advanced Signals & Systems
“Introductory Notes”
Graduate Coursework Programs
Module 02 (Review):
Part 1
- Sinusoids, Phase/Time-Shift
Parviz Doulai
Informatics/SECTE/2012
Main Source: The subject textbook/CD: J H McClellan, as well as;
http://users.ece.gatech.edu/mcclella/SPFirst/LectureSlides/SPFirstLectureSlides.html
Main Text: Signal Processing First, J. H. McClellan, R.W. Schafer & M.A. Yoder
From Last Week:
Analogue Signals
From
Last
Week:
Analogue
Signals
T
yp
icall
y
re
p
resented as volta
g
e or
Analogue Signal:
Af ti fti th t
yp y p g
current as a function of time.
We can use an oscilloscope to look
at a signal as a function of time
A
f
unc
ti
on o
f
ti
me
th
a
t
has a continuous range
of values “w(t)” .
at
a
signal
as
a
function
of
time
.
In general, we denote a signal (or a
waveform) by w(t).
Examples of signals:
Sinusoidal (periodic)
square wave (periodic)
Speech (aperiodic)
Pressure (aperiodic)
Pressure
(aperiodic)
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 2
Analog and Digital Signal Waveforms
From Last Week:
Analog
and
Digital
Signal
Waveforms
A f i l t f th l f th i l ti
A
wave
f
orm
i
s a p
l
o
t
o
f
th
e va
l
ue o
f
th
e s
i
gna
l
over
ti
me
Vertical axis represents the signal value or amplitude
Hi tl i tti
H
or
i
zon
t
a
l
ax
i
s represen
t
s
ti
me
The analog signal waveform changes smoothly over time
The digital signal waveform changes more suddenly
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 3
FLtWk
Discrete Time and Continuous Time Signals
F
rom
L
as
t
W
ee
k
:
Discrete
Time
and
Continuous
Time
Signals
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 4
Analogue Signals Representation at Discrete Values
Analogue
Signals
Representation
at
Discrete
Values
In some applications, signals need to be represented at discrete values of time
Between these discrete-time instants the value of the signal is very often of no
interest.
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 5
sine Signals (sinusoids) /cosine Signals
sine
Signals
(sinusoids)
/cosine
Signals
sine/cosine signals are the most basic signals in
theory of signals and systems These signals
theory
of
signals
and
systems
.
These
signals
constitute a general class of signals that are known
as cosine si
g
nals
,
or sine si
g
nals.
g, g
Collectively, such signals are called sinusoidal signals or
sinusoids.
)cos()(
t
A
ti
Radian Frequency: Radians/sec
[or Hertz (cycles/sec)]
Radian
Frequency:
Radians/sec
[or
Hertz
(cycles/sec)]
A
Amplitude (Magnitude)
f)2(
Phase (phase shift or phase angle)
21
f
T
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 6
Period
Review: Basic Definitions
Review:
Basic
Definitions
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 7
Radian Fre
q
uenc
y
(
)
vs Natural Fre
q
uenc
y
qy() qy
Factor of 2 п differentiates radian frequency (in units
of radian per second) from natural frequency (in units
of Hz).
The distinction between is whether one chooses
to define frequency in terms of "revolutions"
around a trigonometric circle or to interpret
f " titi t “
f
requency as a
"
repe
titi
on ra
t
e
“
.
Radian is defined by a quadrant of a circle
Radian
is
defined
by
a
quadrant
of
a
circle
where the distance subtended on the
circumference equals the radius of the
circle
Source: wiki
circle
.
There are “2п” radian around a 360° circle
Source:
wiki
because the circumference of a circle is 2 п r.
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 8
Plotting cosine signal from the FORMULA
Plotting
cosine
signal
from
the
FORMULA
)
2
1
3
0
cos(
5
t
Determine
period
:
)
2
.
1
3
.
0
cos(
5
t
Determine
period
:
3/203.0/2/2
T
Determine a peak location by solving
Peak at t=
4
0
)
(
t
Peak
at
t=
-
4
)
(
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
3/5/2012
Answer for the PLOT
Answer
for
the
PLOT
)
2
1
3
0
(
)
2
.
1
3
.
0
cos
(
5
t
Use T=20/3 and the peak location at t=-4
20
3
20
© 2003,
JH
McClellan
&RW
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
3/5/2012
&
RW
Schafer
10
Sine wave Example 1: Tuning Fork
1
Sine
wave
Example
1:
Tuning
Fork
-
1
Many physical systems generate signals that can be modeled
(i.e., presented mathematically) as sine or cosine functions of
ti
ti
me.
signals that are audible to human are among these signals.
The tones (or notes) produced by musical instruments are
perceived as different pitches.
The sound waves are produced when a
tuning fork is struck;
one could equate notes to sinusoids and pitch to frequency.
tuning
fork
is
struck;
The sound signal is a sine wave at
frequency of 440 Hertz (Hz)
Th d i l h th th ti l
Th
e soun
d
s
i
gna
l
h
as
th
e ma
th
ema
ti
ca
l
formula shown below:
)
)
440
(
2cos
(
tA
Hearing waves
)
)
(
(
With a microphone and a computer having an A/D converter, a digital recording and
display of the signal produced by the tuning fork becomes possible.
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 11
Example 1: Tuning Fork
-
2
Example
1:
Tuning
Fork
-
2
ms
3
.
2
85.515.8
T
ms
3
.
2
Recording of an A-440 tuning fork
signal is sampled and shown
signal
is
sampled
and
shown
below (six periods and zoom in
two complete cycles)
The frequency of the recorded signal
is calculated as shown below:
Hz
435
3.2/1000
/1
Tf
ECTE906 – Introductory Notes: Graduate Coursework Programs – Signals and Systems - 2009
Page 12
Hz
435
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