Howtosignalprocessing
- What are FFT bins?
- Why is it a bad idea to filter by zeroing out FFT bins?
- What are bins in DSP?
- What is DFT size?
What are FFT bins?
Frequency lines are spaced at even intervals of fSAMPLE/NRECORD. They are commonly referred to as frequency bins or FFT bins. Bins can also be computed with reference to a data converter's sampling period: Bin = fSAMPLE/NRECORD = 1/(NRECORD × ΔtSAMPLE)
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.
What are bins in DSP?
frequency bins are intervals between samples in frequency domain. For example, if your sample rate is 100 Hz and your FFT size is 100, then you have 100 points between [0 100) Hz. Therefore, you divide the entire 100 Hz range into 100 intervals, like 0-1 Hz, 1-2 Hz, and so on.
What is DFT size?
If we look at the dimensions of the DFT result, we get 2+31*2 which is, again, 64 dimensions. Here is a visual representation of the matrix elements using the complex unit circle: The first row is the DC component or the bias. It only has real components.
