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Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)

Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output) is a one of parameter estimation methods which used to estimate the parameter of the transfer function if the system parameter is changing with time, also estimate the nose characteristics which applied on the system output
Reference : Adaptive control by Astrom and adaptive control using matlab

Modified Extended Recursive Least Square with Exponential Forgetting (noise on the output)

Modified Extended Recursive Least Square with Exponential Forgetting (noise on the output) is a one of parameter estimation methods which used to estimate the parameter of the transfer function if the system parameter is changing with time, also estimate the noise characteristics which applied on the system output
Reference : Adaptive control by Astrom and adaptive control using matlab

Modified Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)

Modified Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output) is a one of parameter estimation methods which used to estimate the parameter of the transfer function if the system parameter is changing with time, also estimate the noise characteristics which applied on the system output
Reference : Adaptive control by Astrom and adaptive control using matlab

Recursive Least Square with Varying Exponential Forgetting

Recursive Least Square with Varying Exponential Forgetting is a one of parameter estimation methods which used to estimate the parameter of the transfer function if the system parameter is changing with time
Reference : Adaptive control by Astrom and adaptive control using matlab

Re: Minimizing the sum of the absolute value of functions
On 28.07.2016 00:24, Lucus Yeo wrote:
> "dpb" wrote in message <nnagp3$ui7$1@dont-email.me>...
>
>> I KNOW what the ABS() function is; what isn't clear is to what it is
>> to be applied in what order to answer the question of how to write the
>> function.
>>
> Of course, sorry! The expanded equation should look like:
> abs(b + c(1) + n(1)*[x*cos(theta(1) + n(2)) - y*sin(theta(1) + n(2))] -n(3))
> + abs(b + c(2) + n(1)*[x*cos(theta(2) + n(2)) - y*sin(theta(2) + n(2))] - n(3))
> + ...
> + abs(b + c(k) + n(1)*[x*cos(theta(k) + n(2)) - y*sin(theta(k) + n(2))] - n(3))

And why
sum(abs(b + c + n(1)*[x*cos(theta + n(2)) - y*sin(theta+n(2))] - n(3)))
do not work?


Do a test. 1+[1,1,1] should gives [2,2,2].
If your version can not add a scalar to an array,
in 2015b and I'm sure it also work in older versions.
If you have a strange version,multiply the scalar by
array of necessary size.

o = ones(size(c));
sum(abs(b*o + c + n(1)*[x*cos(theta + n(2)*o ) - y*sin(theta+n(2)*o)] -
n(3)*o))

bartekltg
Re: How can I find a point is left or right of an oriented curve in
Hi I couldn't find the " varea" function. From where did you get it?
Una enana blanca azota a una enana roja con un látigo de radiación
El sistema AR Scorpii se conocía desde hacía décadas pero ahora se ha descubierto que es un nuevo tipo de estrella binaria. Está formado por una estrella enana blanca que gira a gran velocidad, impulsando electrones que, a su vez, lanzan haces de radiación hacia su compañera: una enana roja. Las ráfagas hacen que todo el sistema brille y se atenúe cada 1,97 minutos.
Re: Fitting complex function
Hi Bing,

Were you able to solve this problem, as I am having the same problem ? It would be helpful, you could provide a solution if found one ?

Nishtha


"Bing " <libingsiew@yahoo.com.hk> wrote in message <iok1js$2a4$1@fred.mathworks.com>...
> This is my work now:
>
> frequency=data(:,1);
> w=2*pi*frequency'*1e12;
> ============================================
> % real part
> y=data(:,2)'; % real part of dielectric constant
> x=[1 1 1 1 1];
> f = @(x,w)real(x(1)+x(2)./(1+w.*x(3)*j)+x(4)./(1+w.*x(5)*j));
> x = lsqcurvefit(f,x,w,y);
>
> I have x=[5.2822 1 1 1 1]
> =============================================
> % imag part
>
> z=data(:,3)'; % imag part of dielectric constant
> x=[i i i i i];
>
> f = @(x,w)real(x(1)+x(2)./(1+w.*x(3)*j)+x(4)./(1+w.*x(5)*j));
> x = lsqcurvefit(f,x,w,z);
>
> but I can't get anything, x still is [i i i i i]
>
> What's wrong with my function? Thanks!
Evaluation of Roof Edge Detectors with a Quantitative Error Measure

This work evaluates a crest line detection.
Comparing the ground truth contour image and the candidate crest line image, the proposed algorithm is based upon a new criterion that take into account the list of ground truth, the recall and their associated spacial nearness.
Doubtlessly, an efficient evaluation penalizes a misplaced edge point proportionally to the distance to the true contour.
Eventually, image tests are proposed in the .zip file.

sliceDelaunay

sliceDelaunay.m returns the cross-section points of a plane for a delaunay triangulation meshing.

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