- How to do zero padding for DFT?
- How do you zero pad data?
- Does zero padding affect FFT?
- Why is it a bad idea to filter by zeroing out FFT bins?
How to do zero padding for DFT?
The resolution is determined by the number of samples and the sample rate. Pad the DFT out to 2000, or twice the original length of x . With this length, the spacing between DFT bins is F s / 2 0 0 0 = 0 .
How do you zero pad data?
In zero padding, you add zeros to the end of the input sequence so that the total number of samples is equal to the next higher power of two. For example, if you have 10 samples of a signal, you can add six zeros to make the total number of samples equal to 16, or 32, which is a power of two.
Does zero padding affect FFT?
Zero padding allows one to use a longer FFT, which will produce a longer FFT result vector. A longer FFT result has more frequency bins that are more closely spaced in frequency.
Why is it a bad idea to filter by zeroing out FFT bins?
FFT gives poor time resolution i.e it doesn't give information at what time that particular frequency exist. It gives information on existing frequency components for given signal duration. By zeroing bins in FFT gives poor resolution after IFFT in time domain.