2D Fourier transform in Python: Create any image using only sine functions
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Fourier series allows us to see the world in a different, easier-to-compute way. Steve Brunton. The Fourier series, modeling periodic functions with cosines and sines, and computing Fourier coefficients as projections onto orthogonal bases in Python. | Md Ismail Sojal
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Fourier series allow us to approximate complex periodic functions, like the square wave, by summing simple sine waves. As more terms (harmonics) are added to the series, the approximation becomes increasingly accurate. The square wave, which has sharp transitions, can be closely mimicked by combining enough sine waves with carefully chosen frequencies and amplitudes. This process beautifully demonstrates how smooth functions can build up sharp, structured patterns. 📌Support us - Like/Share/Foll
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