Mixed

What is the difference between natural sampling and Flat Top sampling?

What is the difference between natural sampling and Flat Top 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.

When a signal is sampled what happens to its spectrum?

The sampled signal has a spectrum that is periodic at the sampling frequency (20 Hz) and has an even symmetry about 0.0 Hz, as well as symmetry about the sampling frequency, fs. Since the sampled spectrum is periodic, it goes on forever and only a portion of it can be shown.

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What will happen if we sample a signal with under sampling condition?

When undersampling a real-world signal, the sampling circuit must be fast enough to capture the highest signal frequency of interest. If the sampling theorem is interpreted as requiring twice the highest frequency, then the required sampling rate would be assumed to be greater than the Nyquist rate 216 MHz.

What happens to the spectrum of signal sampled below the Nyquist rate?

What happens if we sample the signal at a frequency that is lower that the Nyquist rate? When the signal is converted back into a continuous time signal, it will exhibit a phenomenon called aliasing.

What is the disadvantage of Flat Top sampling?

What is the main disadvantage of Flat top sampling? The sampling rate is large in proportion with f. This has practical limitations. The sampled signal spectrum has spectral gaps.

Why Is Flat Top sampling more preferred than natural sampling?

With the help of hold and sample circuit ‘flat top sampling’ is done. In flat top sampling the top of samples are constant and are equal to instantaneous value of the signal while a more practical method of sampling is natural sampling in which the width of pulse is finite.

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What is a frequency spectrum of a signal?

Frequency spectrum of a signal is the range of frequencies contained by a signal. For example, a square wave is shown in Fig. 3.5A. It can be represented by a series of sine waves, S(t) = 4A/π sin(2πft) + 4A/3π sin(2π(3f)t) + 4A/5π sin(2π(5f)t + …)

What are the advantages of flat top sampling over other type of sampling?

This flat top sampling was the one that could only be included in a unique intensity that can never be modified in comparison to the analog signal. Advantages are: This is indeed a strategy with the least noise disturbance to that of the measured signal.