Data communication

21
Basis for Data Communication BY SABARATHINAM

Transcript of Data communication

Page 1: Data communication

Basis for Data Communication

BYSABARATHINAM

Page 2: Data communication

What is Data Communications?

Communication is the process of sharing a message.

A conversation between two people is an example of communication.

Data communications refers to the sharing of a virtual message.

Page 3: Data communication

Signals : Analog or digital

• Analog signal has infinitely many levels of intensity (infinitely many values, continuous values) over a period of time.

• Digital signal has only a limited number of defined values(discrete values) say, 0,1.

Page 4: Data communication

Sine wave

Page 5: Data communication

Period and frequency

Page 6: Data communication

Time and frequency domains

Page 7: Data communication

Square wave

Signal corruption

Page 8: Data communication

Three harmonics

Page 9: Data communication

The Theoretical Basis for Data Communication

Information can be transmitted on wires by varying some physical property such as voltage or current.

The theoretical basis for data communication• Fourier Analysis• Bandwidth-Limited Signals• The Maximum Data Rate of a Channel

Page 10: Data communication

Fourier Analysis

Any reasonably behaved periodic function, g(t), with period T can be constructed by summing a (possibly infinite) number of sines and cosines:

where f=1/T is the fundamental frequency and an and bn are the sine and cosine amplitudes of the nth harmonics (terms).

1 1

1( ) sin(2 ) cos(2 )

2 n nn n

g t c a nft b nft

Page 11: Data communication

Fourier Analysis (cont..)We can compute :n na and b

0

0

0

2( )sin(2 )

2( )cos(2 )

2( )

T

n

T

n

T

a g t nft dtT

b g t nft dtT

c g t dtT

Page 12: Data communication

Fourier Analysis (cont..)

• For instance, suppose we use voltages (on/off) to represent “1”s and ”0”s, and we transmit the bit string ‘01100010’. The signal would look as follows:

0

2( )sin(2 )

T

na g t nft dtT

3 7

1 6

2[ sin(2 ) sin(2 ) ]na nft dt nft dt

T

Page 13: Data communication

Fourier Analysis (cont..)

Page 14: Data communication

Fourier Analysis (cont..)

Page 15: Data communication

Bandwidth-Limited SignalsThe larger n is, the higher the frequency nf of

the nth harmonic.All transmission facilities diminish different

Fourier components by different amounts, thus introducing distortion.

Usually, the amplitudes are transmitted undiminished from 0 up to some frequency fc (in Hertz, Hz) with all frequencies above this cutoff frequency strongly attenuated.

Page 16: Data communication

Bandwidth

Page 17: Data communication

Baud Rate and Bit RateThe signaling speed

the number of times per second that the signal changes its value (e.g. its voltage).

measured in baud.

A b baud line does not necessarily transmit b bits/sec each signal might convey several bits

Page 18: Data communication

Maximum Data Rate of a Channel

• Data rate depends on 3 factors:

– The bandwidth available– Number of levels of signals– Quality of the channel (noise level)

Page 19: Data communication

Noiseless Channel: Nyquist Bit rate

• b = 2 B log L (log is to base 2)

b : bit rate B : Bandwidth L : number of levels

Page 20: Data communication

Noisy channel : Shannon Capacity

• C = B log (1 + SNR)

C = capacity of the channel in bps B = Bandwidth

SNR = signal to noise ratio

Page 21: Data communication

THANK YOU