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DIGITAL SIGNAL PROCESSING

C.I.D. : 20710Ali Afzal Bhagat(5258)

Muzammil Ahmed(5370)

Areeb Muzaffar(5432)

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AREA

The project is based on Channel Equalization which is veryimportant in digital communication.

Its purpose is to reduce inter-symbol interferences.

Through which we get the original transmitted signals.

There are many types of Equalizers: Zobel Network, LatticePhase Equalizer, Bridged T Delay Equalizer, etc.

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PROBLEM

When the signal (e.g. radio, electrical) is transmitted,

it is in its original form without any noise.

Same is not the case when the signal is received.

As it passes through a medium (e.g. air, wire) it addsup unwanted signals which ruin the signal.

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RELATED RESEARCH

All the equalization can be done by manipulating with thefrequency of the signals.

As the frequency is manipulated with we can block thefrequency at which we detect the noise and let others pass.

The frequency can be manipulated by passing the signalthrough high pass, low pass , band pass, high shelvingband and low shelving band.

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SOLUTION

The solution to removing noise is or altering the signal

to get the original unfiltered signal.

For this we will use a channel equalizer.

In Equalizers, we will specifically be using a ZobelNetwork filter.

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ADVANTAGES

Equalization overcomes Inter-Symbol Interferences

(ISI).

They are used in audio devices to control base, treble,etc.

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DISAVANTAGES

By removing or altering the frequency on which there

is noise, we might also eliminate or alter the signal onthe same frequency.

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NEW IDEA PROPOSED

Verification of the proposed model for channel

equalization for more number of input continuoussignals like speech signals of approximately samefrequency.

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QUESTIONS ?

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