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Analog and Digital Signals: Understanding Data Representation and Transmission, Study notes of Voice

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.

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Analog and Digital Signals,
Analog and Digital Signals,
Time and Frequency
Time and Frequency
Representation of
Representation of Signals
Signals
CSE 3213, Fall 2010
Instructor: N. Vlajic
Required reading:
Garcia 3.1, 3.2
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Download Analog and Digital Signals: Understanding Data Representation and Transmission and more Study notes Voice in PDF only on Docsity!

Analog and Digital Signals,

Analog and Digital Signals,

Time and Frequency

Time and Frequency

Representation of

Representation of Signals

Signals

CSE 3213, Fall 2010

Instructor: N. Vlajic

Required reading:

Garcia

Data vs. Signal Data vs. Signal

Analog vs. Digital

Analog Signals

Simple Analog Signals

Composite Analog Signals

Digital Signals

Signal Representation

Signal Representation

Signal Representation

  • typically in 2D space, as a function of

time, space or frequency

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.)

http://www.phy.ntnu.edu.tw/ntnujava/index.php?topic=

Example

[

signal in time and space

]

Analog vs. Digital

Analog vs. Digital Data

Analog vs. Digital Data

analog data

analog data

  • representation variable takes

on continuous values in some interval, e.g.voice, temperature, etc.

digital data

digital data

  • representation variable takes

on discrete (a finite & countable number of)values in a given interval, e.g. text, digitizedimages, etc.

Analog vs. Digital Signal

Analog vs. Digital Signal

analog signal

analog signal

  • signal that is continuous

in time and can assume an infinite numberof values in a given range (continuous intime and value)

discrete (digital) signal

discrete (digital) signal

  • signal that is

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

… will talk more about this later …

Data vs. Signal

Analog vs. Digital

Analog Signals Analog Signals

Simple Analog Signals

Composite Analog Signals

Digital Signals

  • measured in degrees or radians

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

Phase in Simple

Phase in Simple

Analog Signals

Analog Signals

5V

1s

http://hermes.eee.nott.ac.uk/teaching/cal/h61sig/sig0001.html

Analog Signals

Example

[ 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

http://hermes.eee.nott.ac.uk/teaching/cal/h61sig/sig0002.html

Example

[

time vs. frequency domain

]

Composite Analog Signals

(cont.)

Angular Frequency

Angular Frequency

aka radian frequency – number of 2

π

revolutions

during a single period of a given signal

simple multiple of ordinary frequency

f

T

[

]

=

1

n

0

n

0

n

0

t)

sin(n

B

t)

cos(n

A

A

s(t)

ω

ω

n

t)dt

n

s(t)cos

T

A

T

0

n

0

n

t)dt

n

s(t)sin

T

B

T

0

n

0

Composite Analog Signals

(cont.)

Example

[ 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!!!