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"Fourier Transform" as a book category groups works devoted to Fourier analysis and its many variants (Fourier series, continuous and discrete Fourier transforms, the FFT, Laplace and spectral transforms) and their theoretical foundations, computational methods, and practical applications. Books in this category range from introductory texts explaining frequency-domain thinking and basic properties (convolution, transform pairs, Plancherel/Parseval identities) to advanced monographs on distribution theory, harmonic analysis, and numerical algorithms. Applied volumes show how transforms are used in signal and image processing, communications, optics, medical imaging, spectroscopy, PDEs and data analysis, often including software examples and implementation details. Typical readers include mathematicians, engineers, physicists, and computer scientists; prerequisites commonly include calculus, complex analysis and linear algebra.

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