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Hello everyone,

 

I want to plot a simulated Rayleigh distribution with the theoretical one, but I have two problems.

1. The y axis is different

2. The simulated is obtained using the histogram block which creates a cluster graph, and because the simulated is obtained using an array 

I cannot use build array function to put them in one graph.

please see the attached pictures below

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Message 1 of 7
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Hi Ali,

 

Would you attach your project please? That will make it easier to explore the issue.

 

This seems like scaling issue between your simulated and theoretical distributions. What are the X inputs that you are giving each one? 

 

Thanks,

Fran

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Thanks for replying,

here you go.

 

Best Regards,

Ali

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I do not know how to give a specific X and Y axis, can you tell me how to do it ?

 

Many thanks,

Ali

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Accepted by topic author AliSabra

Hi Ali,

 

For plots, you can use Property Nodes to set X/Y ranges. To do that, you can create a reference to the Graph or Histograph and use Property Nodes to modify them. See below for more info:

https://knowledge.ni.com/KnowledgeArticleDetails?id=kA00Z0000019ZclSAE&l=en-US

 

For the actual difference in the two plots, I would point you toward the Help for each. The main difference stem from the fact the Histogram is computed numerical and the PDF is generated using an equation. I would also take a look at your X inputs as well:

http://www.ni.com/documentation/en/labview/4.0/analysis-node-ref/continuous-pdf-rayleigh/?prodref=La...

http://www.ni.com/documentation/en/labview/4.0/analysis-node-ref/histogram-single-shot/?prodref=LabV...

 

Thanks,

Frank

 

Plot BD.pngPlot of x vs y.png

 

 

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Hello Frank,

 

Thanks for the information, it is really helpful.

Perhaps you can also help me to do maximum likelihood estimation so that I can estimate the  distribution parameters ?

 

Best regards,

Ali

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Solution
Accepted by topic author AliSabra

Great, glad that helped, Ali!

 

There is not a built in toolkit for MLE for parameters. You could write a numerical method to do this in LabVIEW (or use C Node or Interface for MATLAB® if you prefer one of those). Here is a post with a simple version of the algorithm:

https://www.aminbros.com/maximum-likelihood-estimation/

 

Thanks,

Frank

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