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easyfitGUI

In an "already" existing plot, easyfitGUI creates uimenus devoted to fit data according to an user function or according to a polynomial. The fitting results and their uncertainties are displayed and output in the workspace.
EXAMPLE:
x1=0:0.1:3;
y1=5*x1.^1.2+1+randn(size(x1));
x2=-3:0.1:3;
y2=5*x2.^2+1+randn(size(x2));
x3=0:0.1:pi;
y3=-40*sin(x3);
plot(x1,y1, x2,y2, x3,y3)
easyfitGUI
The available uimenus and more informations are detailled when clicking
the user HELP menu. This HELP contains the following items:

% 'Select Line'
% 'Express FIT'
% 'Input Function'
% 'Input Pinit'
% 'User FIT'
% 'Options'
additional helps are :
% - About the OUTPUTS
% - About the MINIMIZATION

OFDM wireless transmission
What is the latest about OFDM Image transmission over wireless network?
NEED MATLAB CODING PROJECT ON FACTS
HAI PLEASE ANYONE CAN SOLVE PAPER OF FACTS WHIHC I HAVE PLEASE REPSOND
Re: Finding a peak value of different frequency components in a signal
IITG Guwahati" <b@c.com> wrote in message <m2t8r7$rri$1@newscl01ah.mathworks.com>...
> Hello every one,
>
> I am having a signal with a fundamental frequency of 20Hz. It has many number of frequency components along with fundamental frequency. It has components of 10Hz, 30Hz, 40Hz, 50Hz, 60Hz and so on. When I did FFT of this signal, I found the peak value at supply frequency. However, I want to pick the peal value at 10Hz, 30Hz, 40Hz exactly. But I could not make it out.
>
> Kindly help me in this.

How?

Greg
Reference for sequential feature selection
Ahmed Alabdaly" <ahmedalabdaly@yahoo.com> wrote in message <m2uosj$50t$1@newscl01ah.mathworks.com>...
> Dear all,
> Can anyone provide me a reference proves that sequential feature selection can be used with any type of classifiers?
> Thanks in advance

No reference for minimizing classification error.

However, you can use your SFS algorithm with mean-square-error or cross-entropy
on posterior probability outputs that result from {0,1} unit vector targets.

Hope this helps.

Greg

P.S. Underpowered linear and quadratic models tend to choose good features for more complicated models like neural networks.
Re: Warning: Matrix is singular to working precision.
AM" wrote in message <m2v4ld$cv$1@newscl01ah.mathworks.com>...
> Im trying solve a system with LU decomposition but that warning comes up and my answers are all -InF or InF or NaN help

What is your linear System ? What MATLAB code do you use to solve the system ?

Best wishes
Torsten.
Re: displaying large images full screen and real size
Pacho Hybsky" wrote in message <m2vboa$f6f$1@newscl01ah.mathworks.com>...
> I tried only put the the file WindowAPI.mexw64 (recommeended for my matlab) to hte same folder as Window API.m is placed, but it is still displaying the same:
>
> == WindowAPI: Cannot find the compiled mex file
> == Start compilation of WindowAPI:

If you are sure your platform is windows 64 bit, then it might due to missing MS Redistributable. Contact the author and ask which compiler he used and which Redistributable is needed, or compile yourself if you have supported C compiler installed.

Bruno
Re: Combine cell data to single array with 3 dimesions array
Nam " <vuphuongnam1980@gmail.com> wrote in message <m2qmmh$7ik$1@newscl01ah.mathworks.com>...
> Hi all,
> I have a <1x10> cell. Every cell contains <10x10x50> array.
> I want to combine all these data into a single array in sequence with result as <10x10x500> so that array contains cell{1}cell{2}. . . .cell{10} all merged in proper sequence.
> Please help me. Thanks so much.
> NAM

cat(3,yourcell{:})
will anybody mail me jpeg200 matlab code
will anybody mail me jpeg200 matlab code
Adjustable Window with 12 dB/Octave Sidelobes

Well-known adjustable windows have sidelobe roll-off of either 6 dB/octave (Kaiser, Taylor) or 0 dB/octave (Chebyshev). Win12 provides an adjustable 12 dB/octave window with well-behaved sidelobes.

The adjustment parameter F0 (1 <= F0 <= 3) directly specifies the first null frequency in cycles per window length. The larger F0, the wider the mainlobe and the lower the sidelobes. The thumbnail picture shows win12 with F0 = 2.0, the same first-null frequency as the Hann and Triangle windows. If omitted, F0 is set to 1.5.

Win12 produces unusual-looking windows when F0 < 1.25. These are not erroneous, but this is a region where 6 dB windows are more in their element.

Finally, note that 12 dB windows make good convolutional smoothing filters, compared to a uniform moving average, for example. There’s much less high-frequency content in the result. Win12 can be used as a smoothing filter design function, with F0 controlling the frequency response.

More info on common windows is found in post #46731 “Replacement Window Functions”.

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