Bluestein's Algorithm

Bluestein's Algorithm is a mathematical technique used to efficiently compute the discrete Fourier transform (DFT) of a sequence of numbers. It leverages the fact that DFT can be expressed in different forms, making it possible to reduce the complexity of calculations. This is particularly useful for large data sets, as it can speed up the process significantly compared to traditional methods. By transforming the input data and using polynomial multiplication, Bluestein’s algorithm can efficiently handle DFTs even for sizes that are not powers of two, making it versatile and widely applicable in signal processing and data analysis.