Noise Removal using Lowpass Digital Butterworth Filter in Scipy – Python
In this article, the task is to write a Python program for Noise Removal using Lowpass Digital Butterworth Filter.
What is the noise?
Noise is basically the unwanted part of an electronic signal. It is often generated due to fault in design, loose connections, fault in switches etc.
What to do if we have noise in our signal?
To remove unwanted signals/noise we use filters of different types and specifications. Generally in the industry we need to choose the best fit by testing it with the signal to pinpoint the best filter to be used for removing the noise in a given use case.
What are we going to do now?
We are going to implement a Lowpass Digital Butterworth Filter now to remove the unwanted signal/noise of a combination of sinusoidal waves.
- Signal made up of 25 Hz and 50 Hz
- Sampling frequency 1kHz.
- Order N=10 at 35Hz to remove 50Hz tone.
Step by Approach:
Step 1:Importing the libraries
Step 2:Defining the specifications
Step 3:Plot the original signal with noise
Step 4:Plot of the signal after removing noise
Step 5: Implementation