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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > LEARNING HEAVY FOURIER COEFFICIENTS:
Reports tagged with learning heavy Fourier coefficients:
TR08-102 | 9th November 2008
Adi Akavia

Finding Significant Fourier Transform Coefficients Deterministically and Locally

Computing the Fourier transform is a basic building block used in numerous applications. For data intensive applications, even the $O(N\log N)$ running time of the Fast Fourier Transform (FFT) algorithm may be too slow, and {\em sub-linear} running time is necessary. Clearly, outputting the entire Fourier transform in sub-linear ... more >>>




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