추천 0 링크 번역 You answered your own question — stairs. Note that you can get the (x,y) coordinates as outputs from the stairs function if you wnt to use them with patch or other plots. 댓글 수: 0 댓글을 달려면 로그인하십시오.이...
I want to interpolate to find ‘z’ for a specific value of x but multiple y. I am trying to plot Interp2(x,y,z,1400,y) Z =f(x,y,z) But it doesn’t seem to be working right. Anyone have any ideas? 댓글 수: 10 ...
Sure. You can do a modified median filter. You take the median filter of the data. Then you identify outliers, like where the actual value is more than some value away from the median. For those that are outliers, you replace only those with the median value. I think that's what my ...
Laurel Keyes on 30 Jul 2024 Vote 0 Link There seems to be a matlab function called fillmissing now that assists you in filling in nan entries. See: Fill missing entries - MATLAB fillmissing (mathworks.com) 0 Comments Sign in to comment.Sign in to answer this question.ANNOUNCEMENT...
How to interpolate a matrix. Learn more about matrix, interpolation, for loop, integration, response spectra
MATLAB脚本二维表查表函数 Matlab m script for look-up table of 2-d. Enjoy it if needed. (linear interpolate) functionres=lut2(matrix,x_req,y_req)% This function is for 2-d look up table% The original table is ''matrix'' , and the x_req,y_req is the target looked up position%...
MATLAB Online で開く [rr,cc] = size(A); % Values to interpolate xi = 1:cc; % Index the non NaNs idx = ~isnan(A); % Loop for each row and linearly interpoalte and extrapolate forr = 1:rr A(r,:) = interp1(xi(idx(r,:)),A(r,idx(r,:)),xi,'linear','extrap'); ...
I need a pchip type spline to interpolate between the points. The default MATLAB function first sorts the points and this destroys the trajectory. I need to be able to divide up the splined path between successive points along the path into a given number of equal spaced segments. ...
在MATLAB Online 中打开 I have a parameter (piece wise constant over each season of the year). I used 'pchip' to interpolate this function: function y = mu(t) xl = [0 23.3125 46.625 69.9375 114.5625 137.875 161.1875 205.8125 229.125 252.8125 297.0625 320.375 343.6875 365 ]; yl = [500 ...
Accordingly, you must not use this method to fit models to noisy data as the algorithm will tend to interpolate noise and produce poor results. To perform model order reduction using frequency-response fitting, use the model reduction workflow (see "Task-Based Model Order Reduction Workflow"). ...