Howtosignalprocessing
- What is twiddle factor formula?
- Why do we use twiddle factor w )?
- How do you calculate twiddle factor in DFT?
- What is N in N point DFT?
What is twiddle factor formula?
A twiddle factor, in fast Fourier transform (FFT) algorithms, is any of the trigonometric constant coefficients that are multiplied by the data in the course of the algorithm. This term was apparently coined by Gentleman & Sande in 1966, and has since become widespread in thousands of papers of the FFT literature.
Why do we use twiddle factor w )?
Why do we use twiddle factors? We use the twiddle factor to reduce the computational complexity of calculating DFT and IDFT. Alternatively, we can also say that the twiddle factor has periodicity/a cyclic property.
How do you calculate twiddle factor in DFT?
For convenience, we write e-i2*pi*k*n/N = Wk*n.
What is N in N point DFT?
The length N of the DFT is the number of frequency points that will result in the DFT output. Zero padding will result in more frequency samples, however this does not increase frequency resolution, it just interpolates samples in the DTFT.
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