Denoising the signal | FFT Lecture- 4

Title: Filtering Out Specific Frequencies from a Signal Using FFT in Python
In this video, we show you how to filter out a specific frequency from a signal using Fast Fourier Transform (FFT) in Python. This technique is useful in signal processing to remove unwanted frequencies from a signal.
Code Breakdown:
Calculate Points per Frequency:
We determine the number of points per frequency using the sample rate (SR) and the length of the frequency array (xf).
Target Frequency:
We identify the index of our target frequency (25,000 Hz) in the frequency domain.
Filter Out the Target Frequency:
We set the amplitude of the target frequency and its immediate neighbors to zero, effectively removing it from the signal.
Plot the Modified FFT:
We plot the modified FFT to visualize the effect of filtering out the specific frequency.