求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1))...
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1))...
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1))...
This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method imple...
A multi-hypothesis approach for salient object tracking in visual surveillance...
RunExp.m: -Changed script into a function. -Coded to accept the numberofRuns as an Argument. -Added code for automatic Exit from Matlab and Shut...