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In applied mathematics, the discrete Chebyshev transform (DCT), named after Pafnuty Chebyshev, is either of two main varieties of DCTs: the discrete Chebyshev transform on the 'roots' grid of the Chebyshev polynomials of the first kind and the discrete Chebyshev transform on the 'extrema' grid of the Chebyshev polynomials of the first kind. ==Discrete Chebyshev transform on the roots grid== The discrete chebyshev transform of u(x) at the points is given by: : where: : : where and otherwise. Using the definition of , : : and its inverse transform: : (This so happens to the standard Chebyshev series evaluated on the roots grid.) : : This can readily be obtained by manipulating the input arguments to a discrete cosine transform. This can be demonstrated using the following MATLAB code: The discrete cosine transform (dct) is in fact computed using a fast Fourier transform algorithm in MATLAB. And the inverse transform is given by the MATLAB code: 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Discrete Chebyshev transform」の詳細全文を読む スポンサード リンク
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