RethinkingFourierTransformfromABasisFunctions PerspectiveforLong-termTimeSeriesForecasting

Neural Information Processing Systems 

We propose a new perspective to reconsider theFourier transform from abasis functions perspective. Specifically, the real and imaginary parts of the frequency components can be viewed as the coefficients of cosine and sine basis functions at tiered frequency levels, respectively.

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