The introduction of complex communications protocols based on Orthogonal Frequency Division Multiplexing (OFDM) has brought with it a growing demand for high-speed Fast Fourier Transform (FFT) ...

Example 1. where i is the complex unity. Put simply, the formula says that an algorithm for the computing of the transform will require O(N 2) operations. But the Danielson-Lanczos Lemma (1942), using ...

For example, you might read 1024 samples at 1 MHz. Each sample will be 1 microsecond after the previous sample, and you’ll get just over a millisecond’s worth of data. The transform will also ...

The “fast fourier transform” (FFT) algorithm is a powerful tool for looking at time-based measurements in an interesting way, but do you understand what it does? This talk will start from basic ...

They say the new algorithm is up to ten times faster than the fast Fourier Transform. A group of MIT researchers believe they’ve found a way to speed up audio, video, and image compression by ...

This example processes framebuffer data from the Mozilla Audio Data API MozAudioAvailable event. The Fast Fourier Transform algorithm is used to obtain audio frequency levels which are then ...

The Goertzel algorithm can perform tone detection using much less CPU horsepower than the Fast Fourier Transform, but many engineers have never heard of it. This article attempts to change that. Most ...

Math breakthroughs don't often capture the headlines--but MIT researchers have just made one that could lead to all sorts of amazing technological breakthroughs that in just a few years will touch ...

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 ...