www.gusucode.com > signal 案例源码程序 matlab代码 > signal/CusumDefaultValuesExample.m
%% |cusum| Default Values % Generate and plot a 100-sample random signal with a linear trend. Reset % the random number generator for reproducible results. %% rng('default') rnds = rand(1,100); trnd = linspace(0,1,100); fnc = rnds + trnd; plot(fnc) %% % Apply |cusum| to the function using the default values of the input % arguments. cusum(fnc) %% % Compute the mean and standard deviation of the first 25 samples. Apply % |cusum| using these numbers as the target mean and the target standard % deviation. Highlight the point where the cumulative sum drifts more than % five standard deviations beyond the target mean. Set the minimum % detectable mean shift to one standard deviation. mfnc = mean(fnc(1:25)); sfnc = std(fnc(1:25)); cusum(fnc,5,1,mfnc,sfnc) %% % Repeat the calculation using a negative linear trend. nnc = rnds - trnd; cusum(nnc)