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What is the Nyquist criterion for Distortionless transmission?
Hence, let us apply condition of equation (6.107) to equation (6.110) to get, for m = 0. But, p(0) = 1 due to normalization, hence (f) = 1. This expression is called as the Nyquist criterion for distortionless baseband transmission in the absence of noise.
What is ISI in digital communication?
In telecommunication, intersymbol interference (ISI) is a form of distortion of a signal in which one symbol interferes with subsequent symbols. This is an unwanted phenomenon as the previous symbols have similar effect as noise, thus making the communication less reliable.
How do I get rid of ISI?
To reduce ISI, CH-DSSS with Code Hopping search algorithm is used. Performance of the algorithm is evaluated based on BER using a rake receiver. Computational speed is also increased by using the Beaulieu Series Method (BSM).
Which consists of less ISI?
Explanation: The optimum filter used to recover the pulse with best possible signal to noise ratio and less or no ISI is called as correlator or matched filter. Explanation: A channel can be modelled as a linear filter with additional noise.
Is there a Nyquist criterion for zero ISI?
Can someone explain in simple words /graphs the necessary and sufficient Nyquist criterion for zero ISI in frequency domain, namely: The constant folded Fourier Transform.
How is the Nyquist criterion applied to baseband filtering?
In practice this criterion is applied to baseband filtering by regarding the symbol sequence as weighted impulses ( Dirac delta function ). When the baseband filters in the communication system satisfy the Nyquist criterion, symbols can be transmitted over a channel with flat response within a limited frequency band, without ISI.
How to achieve zero intersymbol interference ( ISI )?
Key focus: As per Nyquist ISI criterion, to achieve zero intersymbol interference (ISI), samples must have only one non-zero value at each sampling instant.
How does the Nyquist theorem relate to intersymbol interference?
This causes intersymbol interference because the previously transmitted symbols affect the currently received symbol, thus reducing tolerance for noise. The Nyquist theorem relates this time-domain condition to an equivalent frequency-domain condition.