H-infinity sub-optimal causal FIR inverse filter via LMI 1.0

[psi gopt] = dfdesign_w_lmi(phi, w, d, n);DFDESIGN_W_LMI computes the H-infinity optimal inverse FIR filter of phi(z).The resulting filter minimizes the H-infinity norm of the error system E_w(z) = [z^(-d) - psi(z)phi(z)]w(z).The LMI method based on KYP lemma is used in this function.[INPUT]phi: target system (discrete-time), SS or TF formatw: weighting function, SS or TF formatd: delay, non negative numbern: length of the FIR filter, positive integer[OUTPUT]psi: resulting inverse FIR filtergopt: optimal valueThis is based on the following paper:M. Nagahara and Y. Yamamoto,H-infinity optimal approxmation for causal spline interpolation,Signal Processing, Vol. 91, No. 2, pp. 176-184, 2011.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Approxmation,  Causal,  Delay,  Filtergopt,  Formatd,  Function,  Integeroutputpsi,  Interpolationsignal,  Length,  Nagahara,  Negative,  Numbern,  Paperm,  Positive,  Processing,  Spline,  Valuethis,  Yamamotohinfinity
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