What is Anti-Aliasing Filter?
An anti-aliasing filter, often known as a “anti-alias filter” or simply “AAF,” is a filter used in signal processing and digital data collection systems to prevent or eliminate aliasing effects.
Working Anti-Aliasing Filter
1. Filtering High-Frequency Components: The anti-aliasing filter is used to remove high-frequency components in analog signals that exceed the Nyquist frequency, which is half the sampling rate of the ADC. If these high-frequency components are not filtered, they will cause aliasing which results in incorrect information.
2. Preventing Aliasing: The anti-aliasing filter ensures that only the desired frequency are represented in the digital signal by attenuating the high-frequency components.
3. Improved Signal Quality: It improves signal quality and allows for more accurate data gathering. It helps to retain the original signal’s integrity and decreases the possibility of errors in later digital processing.
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