Sampling Process in Digital Communication
The sampling process includes the following steps:
- The continuous signal is taken as an input.
- Sampling is performed to convert this signal into a digital representation.
- In addition to sampling, quantization of a signal is performed.
- After the above step, encoding of the signal is done.
We will going to discuss the sampling process in detail in this article.
Sampling in Digital Communication
Sampling in digital communication is converting a continuous-time signal into a discrete-time signal. It can also be defined as the process of measuring the discrete instantaneous values of a continuous-time signal.
Digital signals are easier to store and have a higher chance of repressing noise. This makes sampling an important step in converting analog signals to digital signals with its primary purpose as representing analog signals in a discrete format.
- Sampling Process in Digital Communication
- Nyquist – Shannon Sampling Theorem
- Oversampling & Undersampling
- Aliasing
- Why Sampling is Required?
- Methods of Sampling
- Scope of Fourier Transform
- Solved Examples on Sampling