Smooth Data with Sample Points Create a vector of noisy data that corresponds to a time vectort. Smooth the data relative to the times int, and plot the original data and the smoothed data. x = 1:100; rng(0,"twister") A = cos(2*pi*0.05*x+2*pi*rand) + 0.5*randn(1,100); t...
Smooth Data with Sample Points Create a vector of noisy data that corresponds to a time vectort. Smooth the data relative to the times int, and plot the original data and the smoothed data. x = 1:100; rng(0,"twister") A = cos(2*pi*0.05*x+2*pi*rand) + 0.5*randn(1,100); t...
The Smooth Data task lets you interactively smooth noisy data. The task automatically generates MATLAB® code for your live script. Using this task, you can:Customize the method for smoothing data in a workspace variable. Adjust parameters to generate less or more smoothing. Visualize the input...
Smooth the data using linear regression over each 2-D window of A. Specify the window size, and specify the x-axis and y-axis locations of the data. Get B = smoothdata2(A,"loess",{[2 3],[4 3]},SamplePoints={xs,ys}); Visualize the smoothed data. Get m2 = mesh(xs',ys,...
smooth_curve = smoothdata(table{3:2388,2}); plot(table{3:2388,1}, smooth_curve); How can I get the input(table{3:2388,2}) datapoints after smoothening the graph. 댓글 수: 0 댓글을 달려면 로그인하십시오. ...
If the SD array is noisier than you want, you could smooth that. Would that work for you? I'm not sure why you think you need a polynomial model in the first place. You can get a good idea of the range of data jst by doing it numerically o...
>>edit smooth.m function [c,ww] = smooth(varargin)%SMOOTH Smooth data.% Z = SMOOTH(Y) smooths data Y using a 5-point moving average.%% Z = SMOOTH(Y,SPAN) smooths data Y using SPAN as the number of points used% to compute each element of Z.%% Z = ...
% 绘制原始数据点和光滑曲线 figure; plot(X, Y, '-o', 'DisplayName', 'Original Data'); hold on; plot(X_interp, Y_interp, '-', 'DisplayName', 'Smooth Curve'); legend; xlabel('X-axis'); ylabel('Y-axis'); title('Interpolated Smooth Curve from Discrete Data Points'); grid on;...
yy = smooth(y,span,'sgolay',degree) uses the number of data points specified by span in the ...
However, when I do the same thing for 'SmoothData', I getexactlythe same answer with every method. I determined that my answers are the same by subtracting the smoothed data using each method from the smoothed data using the loess results. I get 0 for all points across the range of dat...