Curve fitting of data points
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Angela
el 19 de Jul. de 2018
Comentada: Angela
el 23 de Jul. de 2018
I have a series of repeated data points that i am trying to fit with a skewed curve. In the graph I am showing one set of the data points which are in blue. The black hand drawn line is the kind of fit i want for my data. I want my fit to be a curve like the one drawn, not a combination of two linear functions or a sawtooth. I have included the data points in text files. Thank you.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/192206/image.jpeg)
4 comentarios
Walter Roberson
el 19 de Jul. de 2018
Editada: Walter Roberson
el 19 de Jul. de 2018
That may be true for the input data, but the black line you show us as the desired fit distinctly wobbles back and forth on the x axis, and since that is presented as your desired outcome, the implication could be that you want the output function to have multiple y values for some of the x.
Anyhow... so if a sharp corner is not desired, then what turn radius should be used?
Do you have a model for what you want the function to be like?
Respuesta aceptada
Matt J
el 19 de Jul. de 2018
3 comentarios
Matt J
el 20 de Jul. de 2018
Editada: Matt J
el 20 de Jul. de 2018
You are only interested in the positive portion of the hyperbola, so you can write that portion as,
y=a*sqrt(1+(x/b)^2);
which will be like the green curve in the image below. You can also rotate your input x,y data about 135 degrees counter-clockwise so that it will also have a corresponding profile like the red lines in the image below.
Now everything is oriented in a familiar way.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/192458/image.png)
Más respuestas (1)
Walter Roberson
el 19 de Jul. de 2018
Have you considered smoothing splines? https://www.mathworks.com/help/curvefit/smoothing-splines.html
Ver también
Categorías
Más información sobre Interpolation en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!