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Fourier Transform: Algorithms and Applied Principles
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Fourier transformations are mathematical transformations which decompose functions dependent on space or time into functions which depend on temporal or spatial frequency. Fourier transform of a time function is a complex-valued function whose magnitude shows the frequency of the original function and argument is the phase offset of that frequency. Inverse Fourier transforms are used to obtain the original mathematical function from its frequency domain representation. They find extensive applications in the fields of signal processing, spectroscopy and quantum mechanics. This book presents researches and studies performed by experts across the globe. The various advancements in Fourier transformations are glanced at and their applications as well as ramifications are looked at in detail. This book is a vital tool for all researching or studying Fourier transforms as it gives incredible insights into emerging trends and concepts of this field.
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