清空筛选条件
清空筛选条件

Smooth data to get the best approximation.

1 次查看（过去 30 天）
Alejandro Fernández
回答： Bruno Luong 2020-8-14
Hello everyone, I was wondering if anyone knows how I could process the input data in such a way as to obtain something similar to what I show in smooth data. The points marked in red and blue correspond to the change points when using the ischange tool
cI = ischange(YY,'MaxNumChanges',1);
scatter(XX(cI),YY(cI),'filled')
I include an attached data with the points shown in the graph being XX and YY the input data (the ones I intend to modify) and the XSmooth, YSmooth data the ones I intend to get.
I've tried with the methods include in the smoothdata function but i couldn't get the result i expected
methods = {'movmean','movmedian','gaussian','lowess','loess','rlowess','rloess','sgolay'};

请先登录，再回答此问题。

采纳的回答

hosein Javan
hosein Javan 2020-8-12
I used curve fitting app you can workaround and change settings to get your result.
  6 个评论
显示 4更早的评论

请先登录，再进行评论。

更多回答（1 个）

Bruno Luong
Bruno Luong 2020-8-14
Here is what my ftting tool gives
load('InputData_SmoothData.mat')
pp=BSFK(XX,YY); % FEX file
plot(XX,YY);
plot(XX,ppval(pp,XX),'r');
legend('raw data','BSFK fitting')

类别

在 Help Center 和 File Exchange 中查找有关 Smoothing and Denoising 的更多信息

标签

产品


版本

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by