| designFIR(phi, D, m0, h, M, n)
|
function [num, den, gamma] = designFIR(phi, D, m0, h, M, n)
% designFIR: design filters F_i(z) (as in Section IV.B.)
%
% Usage: [num, den, gamma] = designFIR(phi, D, m0, h, M, n)
%
% INPUTS:
% phi: input rational transfer functions
% D: vector of fractional delays
% m0: system delay tolerance
% h: fast sampling interval
% M: superresolution factor (integer)
% n: nM will be the maximum length of designed FIR filters
%
% OUTPUTS:
% gamma: the H infinity norm of the induced error system K
% num: numerator vectors
% den: denominator vectors
%
% filter F_i(z) will be an IIR filter with num{i} is the coefficients of
% the numerator and den{i} is the coefficients of the denominator.
%
% See also: getF, demo, lmi_opt
% Get the integer and residualof the delays
m = floor(D(:)/h);
d = D(:) - m * h;
% Get the digital system as in Prop. 2
Ad = getAd(phi, h, d);
Bd = getBd(phi, h, d);
Cd = getCd(phi, h, d);
Dd = zeros(size(Cd,1), size(Bd,2));
% The Integer Delay Operator
sysd = IntDelayOp([m0; m]);
% Get the digital system as in Prop. 3 by taking into account the integer
% delay operators
sys = sminreal( sysd * ss(Ad, Bd, Cd, Dd, -1) ); % sminreal to reduce the system's dimension on the fly
% sys = sysd * ss(Ad, Bd, Cd, Dd, -1);
% design of the system F
[Af, Bf, Cf, Df, gamma] = lmi_opt(sys, M, n);
% Convert to the coefficients
[num, den] = getF(Af, Bf, Cf, Df, M);
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