wavelet hammerstein wiener model
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Hi all, the below expression was found from http://www.mathworks.com/help/toolbox/ident/ref/wavenet.html
F(x)=(x-r)PL + a s_1f(bs_1((x-r)Q-cs_1))+... as_nsf(bs_ns((x-r)Q-cs_ns))+...aw_1g(bw_1((x-r)Q-cw_1))+...+aw_nwg(bw_nw((x-r)Q-cw_nw))+d
f is a scaling function.
g is the wavelet function.
where by
f(x)=exp(-0.5xx’)
g(x)=(Nr-xx’)exp(-0.5xx’)
where Nr is the length of x (number of regressors).
I need some help from all to understand the definition of Nr. Can anyone define the Nr to help me understand better?
And
Let say x=[ 6 7 8 9 10 11];
If g(6), what is the value of Nr?
If g(7), what is the value of Nr?
If g(8), what is the value of Nr?
Thanks.
回答(1 个)
Nr is the number of regressors, ex: if you have x={u(k-1),u(k-2),y(k-1),y(k-2)}, then Nr=4.
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