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The Inverse Discrete Fourier Transform

The Inverse Discrete Fourier Transform

Learn how to get back to the time domain from a frequency-domain signal.

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Complex sinusoids act as building blocks for all signals. This is similar to the xx, yy, and zz dimensions that define any point in 3-D space and the red, green, and blue colors that combine to form any color.

The DFT

We derive the DFT that takes a time-domain signal into the frequency domain. For a signal of NN length, x[n]x[n], we have:

X[k]=n=0N1x[n]ej2πkNn,k=0,1,,N1X[k]=\sum_{n=0}^{N-1}x[n]e^{-j2\pi\frac{k}{N}n}, \qquad k =0,1,\cdots,N-1 ...