Advantages and Disadvantages of Sampling
Advantages of Sampling
- It is an important step in converting analog signal to digital signal which allows efficient digital storage and signal processing
- By taking samples at some specific interval time, it helps compressing the original signal, which in turn helps in efficient transmission
- Digital signals can be easily processed using various algorithms
Disadvantages of Sampling
- When sampling rate is not proper, it may lead to the problem of aliasing, resulting in distorted signals
- In the process of Analog to Digital conversion, the next step after sampling is quantization which may result in: loss of information
- While conversion (Analog to Digital) sampling may introduce errors due to factors such as quantization noise, temperature variations, etc.
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.
Table of Content
- 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