Hi all, I've already worked with FourierTransform and FFTConvolution classes, I've also studied their codes in order to adapt them to my program, anyway I still have some doubts about those classes and I hope you can help me!
First, dimensions of the output resulting from the FourierTransform and those of the fftKernel in the FFTConvolution class differ from those of the input images, why? Why, for example, if I transform a 256x256 image I get back a 281x560 spectrum? Secondly, trying to find out an answer to the first doubt I have, I find out that the spectrum dimensions are calculated by using the package edu.mines.jtk.dsp and in particular the classes FftReal/FftComplex, both based on the Pfacc class. Comments to the Pfacc class said that this class implements the PFA algorithm for the FFT computation, so my second doubt is this: do the FourierTransform and FFTConvolution classes implement the PFA algorithm? I really need to find it out in order to continue my work, so any help will be appreciated! Thanks a lot, Sara S.
_______________________________________________ ImageJ-devel mailing list [email protected] http://imagej.net/mailman/listinfo/imagej-devel
