Monday, 10 March 2014

ifft of a gaussian function in matlab [closed]

ifft of a gaussian function in matlab [closed]



1.Inverse fast Fourier transform - MATLAB ifft

Description:This MATLAB function returns the inverse discrete Fourier
transform (DFT) of vector X, computed with a fast Fourier transform (FFT)
algorithm.



2.How to generate a Gaussian distribution, using rand(1 ...

Description:03-03-2008 · Best Answer: rand(1) returns one pseudo random
number between 0 and 1 correct? (I don't know matlab myself but I know
what you can do with the random ...



3.2d gaussian function - MATLAB Answers - MATLAB Central

Description:I need to plot a 2d gaussian function, where x and y
corresponds to the image pixels, my code uses a nested for loop which
makes my program run extremely slow, is ...



4.gmpl/meanFunctions.m

Description:% mean functions to be use by Gaussian process functions.
There are two % different kinds of mean functions: simple and composite: %
% simple mean functions: ...



5.Error function - Wikipedia, the free encyclopedia

Description:Categories: Special hypergeometric functions; Gaussian
function; Functions related to probability distributions; Analytic
functions



6.Peak Fitting - Origin

Description:Origin provides the Quick Peaks gadget and the Multiple Peaks
Fit tool for performing peak fitting. OriginPro provides additional peak
fitting capabilities in the ...



7.OFDM SIMULATION in MATLAB - DigitalCommons@CalPoly ...

Description:OFDM SIMULATION in MATLAB A Senior Project Presented to the
Faculty of California Polytechnic State University San Luis Obispo In
Partial Fulfillment



8.Matlab Tips and Tricks - Columbia University

Description:Matlab Tips and Tricks Gabriel Peyr´e
peyre@cmapx.polytechnique.fr August 10, 2004 First keep in mind that this
is not a Matlab tutorial. This is just a list of



9.Programs (Numerical Methods for Physics)

Description:Fortran, Matlab, and C++ codes from by the book by Alejandro
L. Garcia.



10.The Gaussian Processes Web Site

Description:Tutorials Several papers provide tutorial material suitable
for a first introduction to learning in Gaussian process models. These
range from very short [Williams ...

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