The process where the amplitude of a pulse after sampling is kept constant is known as what type of sampling?

Flat top sampling is a method where the amplitude of the sampled signal is held constant during the sampling period. This approach involves creating a rectangular or “flat” shape for each sample, capturing the signal's essence without variations in amplitude within that interval. This technique is particularly useful in applications where preserving the consistent level of the signal is vital, allowing for accurate representation during the processing phase.

The other options do not describe this specific technique. For example, Nyquist's Uniform sampling refers to a principle that states a signal should be sampled at least twice the highest frequency present to avoid aliasing, which doesn’t address how amplitude is represented. Uniform sampling generally pertains to the consistent intervals of time at which samples are taken, without establishing how the amplitude is treated. The sampling theorem is a fundamental concept in signal processing that dictates the conditions for correctly reconstructing a signal from its samples but does not specify the amplitude handling characteristic seen in flat top sampling.