# What is meant by natural sampling? ## What is meant by natural sampling?

Natural sampling is mathematically equivalent to multiplying the original signal with a train of unit-amplitude rectangular sampling pulses. Therefore, the spectrum of a naturally sampled signal can be determined by convolving the original signal’s spectrum with the spectrum of the train of sampling pulses.

What are the types of sampling in communication system?

Out of these three, instantaneous sampling is called ideal sampling whereas natural sampling and flat-top sampling are called practical sampling methods.

What is the difference between flat top sampling and natural sampling?

The difference between natural sampling and flat-top sampling is that: In natural sampling the analog input is multiplied by a train of uniformly spaced, rectangular pulses. While in flat top sampling the top of the samples are flat, this means they have a constant amplitude.

### What is sampling in DC?

Sampling is defined as, “The process of measuring the instantaneous values of continuous-time signal in a discrete form.” Sample is a piece of data taken from the whole data which is continuous in the time domain.

What is meant by Nyquist rate?

In signal processing, the Nyquist rate, named after Harry Nyquist, specifies a sampling rate (in units of samples per second or hertz, Hz) equal to twice the highest frequency (bandwidth) of a given function or signal.

What is difference between Bode plot and Nyquist plot?

In brief, Bode (rhymes with roadie) plots show the the frequency response of a system. There are two Bode plots one for gain (or magnitude) and one for phase. The amplitude response curves given above are examples of the Bode gain plot. The Nyquist plot combines gain and phase into one plot in the complex plane.

## How to perform impulse sampler?

Impulse sampling can be performed by multiplying input signal x (t) with impulse train Σ n = − ∞ ∞ δ ( t − n T) of period ‘T’. Here, the amplitude of impulse changes with respect to amplitude of input signal x (t). The output of sampler is given by To get the spectrum of sampled signal, consider Fourier transform of equation 1 on both sides

What are the methods of sampling in signal processing?

1 Impulse Sampling. Impulse sampling can be performed by multiplying input signal x (t) with impulse train Σ∞n = − ∞δ (t − nT) of period ‘T’. 2 Natural Sampling. To get the spectrum of sampled signal, consider the Fourier transform on both sides. 3 Flat Top Sampling. 4 Nyquist Rate. 5 Samplings of Band Pass Signals.

What is the difference between impulse and natural sampling?

Natural sampling is similar to impulse sampling, except the impulse train is replaced by pulse train of period T. i.e. you multiply input signal x (t) to pulse train Σ n = − ∞ ∞ P ( t − n T) as shown below = x ( t) × Σ n = − ∞ ∞ P ( t − n T)……

### Is a sampled impulse response a physical model?

A sampled impulse response is an example of a nonparametric representation of a linear, time-invariant system. It is not usually regarded as a physical model, even when the impulse-response samples have a physical interpretation (such as when no anti-aliasing filter is used).

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