What is the frequency of the reconstructed signal?

A real signal whose spectrum is bandlimited to D Hz [X(f) = 0 for | f |>D] can be reconstructed from its samples taken uniformly at a rate fs > 2D samples/sec. We can say the minimum sampling frequency is fs=2D Hz.

How does increasing the sampling frequency affect the quality of a recovered signal?

Also important to note is that once you are sampling at a rate above the Nyquist rate, further increases in the sampling frequency do not improve the quality of the reconstructed signal. This is true because of the ideal low-pass filter. However, higher sampling frequencies require faster converters and more storage.

What is aliasing effect in sampling and reconstruction process?

In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or aliases of one another) when sampled.

What is 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.

What is sampling frequency of a signal?

Sampling rate or sampling frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal.

What is frequency aliasing?

Aliasing is an undesired effect in which the sampling frequency is too low to accurately reproduce the original analog content, resulting in signal distortion. Frequency aliasing is a common problem in signal conversion systems whose sampling rate is too slow to read input signals of a much higher frequency.

What is aliasing explain its effect on sampling?

Aliasing is an effect that causes different signals to become indistinguishable from each other during sampling.