iir_steigmcbride (MathScript RT Module Function)
Owning Class: modeling and prediction
Requires: MathScript RT Module
Syntax
[b, a] = iir_steigmcbride(x, m, n)
[b, a] = iir_steigmcbride(x, m, n, t)
[b, a] = iir_steigmcbride(x, m, n, t, aa)
[b, a] = iir_steigmcbride(x, u, m, n)
[b, a] = iir_steigmcbride(x, u, m, n, t)
[b, a] = iir_steigmcbride(x, u, m, n, t, aa)
Legacy Name: stmcb
Description
Uses a Steiglitz-McBride iteration to design a linear filter model.
Inputs
| Name | Description |
|---|---|
| x | Specifies the output of the filter. x is a vector. |
| u | Specifies the input of the filter. u is a vector of the same length as x. If you do not specify u, LabVIEW views x as the impulse response of the filter. |
| m | Specifies the numerator order. m is a positive integer. |
| n | Specifies the denominator order. n is a positive integer. |
| t | Specifies the number of iterations. t is a positive integer. The default is 5. |
| aa | Specifies the initial value of the denominator coefficients. aa is a vector with length n. The default is prony(x, 0, n). |
Outputs
| Name | Description |
|---|---|
| b | Returns the forward filter coefficients. b is a vector. |
| a | Returns the backward filter coefficients. a is a vector. |
Examples
b1 = rand(1, 3)
a1 = [1, rand(1, 3)]
h = impzd(b1, a1, 10);
[b2, a2] = iir_steigmcbride(h, 2, 3)