Scope of Fourier Transform
It is well noticed that we seek the assistance of Fourier series and Fourier transforms in analyzing signals and proving theorems. This is because:
- The Fourier Transform is used for a non-periodic signal which is helpful in analysis of the signal.
- The Fourier transform is helps to observe signals in several domains and readily analyze them making it a strong mathematical tool.
- Using this Fourier transform, any signal may be decomposed into the sum of sines and cosines.
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