medfilt1(x) applies a third-order one-dimensional median filter to the input vector, x.
The function considers the signal to be 0 beyond the endpoints.
The output, y, has the same length as x.
y = medfilt1(x) y = medfilt1(x,n) example y = medfilt1(___,nanflag,padding) example y = medfilt1(x,n,blksz,dim) y = medfilt1(x,n,[],dim)
%Generate a sinusoidal signal sampled for 1 second at 100 Hz. Add a higher-frequency sinusoid to simulate noise. fs = 100; t = 0:1/fs:1; x = sin(2*pi*t*3)+0.25*sin(2*pi*t*40); %Use a 10th-order median filter to smooth the signal. Plot the result. y = medfilt1(x,10); plot(t,x,t,y) legend('Original','Filtered') legend('boxoff')
http://in.mathworks.com/help/signal/ref/medfilt1.html