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comparison    

FFT Processor Chip Info Page
This page contains a comprehensive table listing key attributes of Fast Fourier Transform (FFT) chips such as speed, power, and word size. It also contains links to all sorts of FFT processors such as: special purpose chips, board-level products, soft/synthesizable processors, and programmable DSP chips.
preview: http://www-star.stanford.edu  

webinar    

Fundamentals of measuring radar with today's swept and FFT based signal analyzers
Spectrum analyzers were originally designed to look at the output of early radar transmitters. Today, the modern spectrum/signal analyzer remains a vital tool for radar measurements. This presentation will review the differences between swept, FFT, and vector based signal analyzers and discuss the best practices for making common radar measurements. Engineers who attend the seminar will gain a better understanding of:
preview: http://www.techonline.com   date: 10/7/2008

example    

Fourier Transform
Examples of * The Discrete Fourier Transform * The Inverse Discrete Fourier Transform * The Centered Finite Fourier Transform * The Centered Finite Inverse Fourier Transform * Forward Fourier Transform of a Double-Precision Vector * Inverse Fourier Transform of a Double-Precision Vector * The Unevenly Spaced Lomb-Fourier Transform * etc.
preview: http://www.omatrix.com  

portal    

Logix4u.net
Fourier transform techniques, transform data between time and frequency domains. To transform a time domain signal to a frequency domain signal , fourier transform is used. Inverse fourier transform transforms frequency domain signal to time domain signal. Discrete fourier transform is used in Digital signal processing applications since it is the only transform that can be computed using a computer. Also DSP info.
preview: http://www.logix4u.net  

resource    

Jörg's FFT Code and Related Stuff
Download page for the author's FXT software package for FFT computation.
preview: http://www.jjj.de  

hot list    

The Practical Transformer
This hot list is an excellent starting point for finding resources on the Web related to transforms such as Fourier, Hankel, Wavelet, Haar, and more. Links include tutorials, general information, and implementation.
preview: http://perso.wanadoo.fr