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.

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 ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. COFDM, the modulation method used by most terrestrial DTV standards, depends on implementation of ...

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.

The previous sample, Implementation of Fast Fourier Transform for Image Processing in DirectX 10, implements the UAV technique using pixel shaders.Refer to that sample for more information ...

It was improved on in the mid-60s with the Fast Fourier Transform (FFT) algorithm, which, as the name suggests, made the whole process much quicker and practical to use.

Sparse Fourier Transform (SFT) algorithms constitute a transformative approach to spectral analysis by leveraging the inherent sparsity of signals in the frequency domain. In contrast to the ...

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 ...