# Orthogonality of Sinusoids

## GUIDE: Mathematics of the Discrete Fourier Transform (DFT) - Julius O. Smith III. Orthogonality of Sinusoids

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## Orthogonality of Sinusoids

A key property of sinusoids is that they are orthogonal at different frequencies. That is, This is true whether they are complex or real, and whatever amplitude and phase they may have. All that matters is that the frequencies be different. Note, however, that the sinusoidal durations must be infinity.

For length sampled sinuoidal signal segments, such as used by the DFT, exact orthogonality holds only for the harmonics of the sampling rate divided by , i.e., only over the frequencies . These are the only frequencies that have an exact integer number of periods in samples (depicted in Fig. 7.2 for ).

The complex sinusoids corresponding to the frequencies are These sinusoids are generated by the roots of unity in the complex plane: These are called the roots of unity because each of them satisfies The roots of unity are plotted in the complex plane in Fig. 7.1for . In general, for any , there will always be a point at , and the points equally subdivide the unit circle. When is even, there is a point at (corresponding to a sinusoid at exactly half the sampling rate), while if is odd, there is no point at . The sampled sinusoids corresponding to the roots of unity are plotted in Fig. 7.2. These are the sampled sinusoids used by the DFT. Note that taking successively higher integer powers of the point on the unit circlegenerates samples of the th DFT sinusoid, giving , . The th sinusoid generator is in turn the th power of the primitive th root of unity . The notation , , and are common in the digital signal processing literature. Note that in Fig. 7.2 the range of is taken to be instead of . This is the most “physical” choice since it corresponds with our notion of “negative frequencies.” However, we may add any integer multiple of to without changing the sinusoid indexed by . In other words, refers to the same sinusoid for all integer .

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