























Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
An in-depth analysis of analog and digital signals, their representation, and transmission. It covers the concepts of data vs. signal, analog vs. digital, signal representation, and periodic vs. aperiodic signals. The document also discusses the classification of analog signals, Fourier analysis, and the frequency spectrum of analog signals.
Typology: Study notes
1 / 31
This page cannot be seen from the preview
Don't miss anything!
Data vs. Signal Data vs. Signal
Analog vs. Digital
Analog Signals
Simple Analog Signals
Composite Analog Signals
Digital Signals
Signal Representation
when horizontal axis is time, graph displays the value of a signal at one particular pointin space as a function of time
when horizontal axis is space, graph displays the value of a signal at one particular point intime as a function of space
time
space
The time- and space- representation of a signal often resemble each other,
though the signal envelope in the space-representation is different (signal attenuates over distance).
Signal Representation
(cont.)
Analog vs. Digital
on continuous values in some interval, e.g.voice, temperature, etc.
on discrete (a finite & countable number of)values in a given interval, e.g. text, digitizedimages, etc.
in time and can assume an infinite numberof values in a given range (continuous intime and value)
continuous in time and assumes only alimited number of values (maintains aconstant level and then changes to anotherconstant level)
Analog vs. Digital
(cont.)
Both analog and digital data can be transmitted
using either analog or digital signals.
example:
analog signaling of analog and digital data
Data vs. Signal
Analog vs. Digital
Analog Signals Analog Signals
Simple Analog Signals
Composite Analog Signals
Digital Signals
π
rad
π
/360 rad
1 rad = (360/
π
phase shift of 360º = shift of 1 complete period
phase shift of 180º = shift of 1/2 period
phase shift of 90º = shift of 1/4 period
φ
= 0º or 360º
φ
= 90º
φ
= 180º
Simple Analog Signals
5V
1s
Analog Signals
[ period and frequency ]
10
12
Hz
terahertz (THz)
10
s
picoseconds (ps)
10
9
Hz
gigahertz (GHz)
10
s
nanoseconds (ns)
10
s
10
s
1 s
Equivalent
10
6
Hz
megahertz (MHz)
microseconds (
μ
s)
10
3
Hz
kilohertz (KHz)
milliseconds (ms)
1 Hz
hertz (Hz)
seconds (s)
Equivalent
Unit
Unit
(a)
Express a period of 100 ms in microseconds.100 ms = 100
s = 100
6
μ
s = 10
5
μ
s
(b)
Express the corresponding frequency in kilohertz.100 ms = 100
s = 10
s
f
Hz = 10
KHz = 10
KHz
units of period and respective frequency
One ‘spike’ in frequency domain
shows two characteristics
of the signal:
spike position = signal frequency,
spike height = peak amplitude.
Analog signals are best represented in the frequency domain.
Analog signals are best represented in the frequency domain.
Simple Analog Signals
Simple Analog Signals
time vs. frequency domain
Composite Analog Signals
(cont.)
aka radian frequency – number of 2
π
revolutions
during a single period of a given signal
simple multiple of ordinary frequency
[
]
∑
∞
=
1
n
0
n
0
n
0
ω
ω
T
0
n
∫
0
T
0
n
∫
0
Composite Analog Signals
(cont.)
[ periodic square wave ]
...
(5f)t)
sin(
5
π
4A
(3f)t)
sin(
3
π
4A
ft)
sin(
π
4A
s(t)
=
π
π
π
three harmonics
adding three harmonics
With three harmonics we get an approximation of a square wave.
To get the actual square, all harmonics up to
should be added.
With three harmonics we get an approximation of a square wave.
To get the actual square, all harmonics up to
should be added.
http://www.nst.ing.tu-bs.de/schaukasten/fourier/en_idx.html
http://www.phy.ntnu.edu.tw/java/sound/sound.html
No DC component!!!