Signal Sampling _(Digital Communication)

Sampling is the process of converting an analog signal into a discrete signal or making an analog or continuous signal to occur at a particular interval of time.

Sampling Theorem:-

Sampling theorem states that a bandlimited signal having no frequency components higher than fm hertz can be sampled if its sampling freq is equal to or greater than the Nyquist rate.

Sampling Techniques

There are basically three types of Sampling techniques, namely:
1. Natural Sampling
2. Flat top Sampling
3. Ideal Sampling

Natural Sampling

Natural Sampling is a practical method of sampling, In natural sampling, the analog input is multiplied by a train of uniformly spaced, rectangular pulses.

Flat Top Sampling

In this sampling technique, the top of the samples remains constant and is equal to the instantaneous value of the message signal x(t) at the start of the sampling process.

-In comparison to natural sampling flat-top sampling can be easily obtained.

-Flat top sampling is like natural sampling i.e; practical in nature.

Flat top sampling makes use of sample and hold circuit.

Ideal/Impulse Sampling

Impulse sampling can be performed by multiplying input signal x(t) with impulse train of period 'T'. Here, the amplitude of impulse changes w.r.t amplitude of input signal x(t).                                                                                                                                                               

Σ∞n=−∞δ(t−nTImvdsf) (Impulse Train Mathematically)

We cannot use this practically because pulse width cannot be zero and the generation of impulse train is not possible practically.

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