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I'm a simple guy. I see anything related to Fourier series/transform, me like. To me, it's like solution to at least 16% of all the problems I have. My only gripe is that I can't thank Fourier personally for the genius he had.


> To me, it's like solution to at least 16% of all the problems I have.

What are some examples of problems you've solved with Fourier series/transforms?


There's a good list in Wikipedia for FFT (though it's a bit more specific than just FT, but still application of it):

- fast large-integer and polynomial multiplication, - efficient matrix–vector multiplication for Toeplitz,- circulant and other structured matrices, - filtering algorithms (see overlap–add and overlap–save methods), - fast algorithms for discrete cosine or sine transforms (e.g. fast DCT used for JPEG and MPEG/MP3 encoding and decoding), - fast Chebyshev approximation, - solving difference equations, - computation of isotopic distributions.[47] - modulation and demodulation of complex data symbols using orthogonal frequency division multiplexing (OFDM) for 5G, LTE, Wi-Fi, DSL, and other modern communication systems.

And naturally for any time-based signal about half a gazillion applications due to it's ability to detect "traits" which can be stored/read efficiently due to time => freq transform


Not specific to Fourier but an optimized FFT implementation can be used in many places as a stand-in for convolution.


It's not so much a stand-in as the possibility to compute convolutions (and auto-correlation and cross-correlation) really easily and cheaply in Fourier space.




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