Researchers have developed a new algorithm that, in a large range of practically important cases, improves on the fast Fourier transform. Under some circumstances, the improvement can be dramatic ...

A new algorithm performs Fourier transforms using a minimal number of samples. The fast Fourier transform, one of the most important algorithms of the 20th century, revolutionized signal processing.

The algorithm gives an exact solution of a discrete Fourier transform, the “fast” comes from the fact that it use O(n log n) operations instead of O(n²) using a clever divide-and-conquer idea.

In January, four MIT researchers showed off a replacement for one of the most important algorithms in computer science. Dina Katabi, Haitham Hassanieh, Piotr Indyk, and Eric Price have created a ...

COFDM, the modulation method used by most terrestrial DTV standards, depends on implementation of the Fast Fourier Transform (FFT) for demodulating the thousands of carriers used in OFDM system. An ...

Fast Fourier Transform (FFT): An algorithm that efficiently computes the discrete Fourier transform (DFT) of a sequence, crucial for signal and image processing.

Like the FFT, the new algorithm works on digital signals. A digital signal is just a series of numbers - discrete samples of an analog signal, such as the sound of a musical instrument.

Fast Fourier Transform (FFT): An algorithm that computes the Discrete Fourier Transform (DFT) efficiently in O(N log N) time. Frequency Bucketisation: The process of mapping frequency domain data ...

Faster-than-fast Fourier transform April 7, 2017 January 18, 2012 by Brian Wang For a large range of practically useful cases, MIT researchers have found a way to increase the speed of one of the most ...