mtnkh
Newbie level 6
Hi,
There is a system, which its output is equal y(t) = s(t) + a(t), which a(t) is noise and we want to eliminate it from the output. We now the equation regarding a(t). a(t) = vd.(C(t)*h(t))/(Ci + Cc(t))+D which H(jw) = jw/(k(t)+jw). and we know the range of k(t). I've heard that by using windowing and "block least-squares parameters estimation" I can estimate a(t) in MATLAB. But I don't know the starting point. Could you please introduce me a tutorial or guide me?
Thanks
There is a system, which its output is equal y(t) = s(t) + a(t), which a(t) is noise and we want to eliminate it from the output. We now the equation regarding a(t). a(t) = vd.(C(t)*h(t))/(Ci + Cc(t))+D which H(jw) = jw/(k(t)+jw). and we know the range of k(t). I've heard that by using windowing and "block least-squares parameters estimation" I can estimate a(t) in MATLAB. But I don't know the starting point. Could you please introduce me a tutorial or guide me?
Thanks