文件名称:pade
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function [a,b] = pade(x,p,q)
PADE Model a signal using the Pade approximation method
----
Usage: [a,b] = pade(x,p,q)
The input sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles.-function [a,b] = pade(x,p,q)
PADE Model a signal using the Pade approximation method
----
Usage: [a,b] = pade(x,p,q)
The input sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles.
PADE Model a signal using the Pade approximation method
----
Usage: [a,b] = pade(x,p,q)
The input sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles.-function [a,b] = pade(x,p,q)
PADE Model a signal using the Pade approximation method
----
Usage: [a,b] = pade(x,p,q)
The input sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles.
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