www.pudn.com > tftb2002toolbox.rar > fmhyp.m
function [x,iflaw] = fmhyp(N,p1,p2)
%FMHYP Signal with hyperbolic frequency modulation.
% [X,IFLAW]=FMHYP(N,P1,P2) generates a signal with hyperbolic
% frequency modulation : X(t) = exp(i.2.pi(F0.t + C/log|t|))
%
% N : number of points in time
% P1 : if the number of input arguments (NARGIN) is 2, P1 is a
% vector containing the two coefficients [F0 C] for an
% hyperbolic instantaneous frequency or [T0 C] for an
% hyperbolic group delay (sampling frequency is set to 1).
% If NARGIN=3, P1 (as P2) is a time-frequency point of the
% form [Ti Fi]. Ti is in seconds and Fi is a normalized frequency
% (between 0 and 0.5). The coefficients F0 and C are then deduced
% such that the frequency modulation law fits the points P1 and P2.
% P2 : same as P1 is NARGIN=3 (optional)
% X : time row vector containing the modulated signal samples
% IFLAW : instantaneous frequency law
%
% Examples :
% [X,IFLAW]=fmhyp(128,[1 .5],[32 0.1]);
% subplot(211); plot(real(X));
% subplot(212); plot(IFLAW);
%
% See also FMLIN, FMSIN, FMPAR, FMCONST, FMODANY, FMPOWER.
% P. Goncalves - October 1995, O. Lemoine - November 1995
% Copyright (c) 1995 Rice University
%
% ------------------- CONFIDENTIAL PROGRAM --------------------
% This program can not be used without the authorization of its
% author(s). For any comment or bug report, please send e-mail to
% f.auger@ieee.org
if (nargin <= 1),
error ( 'The number of parameters must be at least 3.' );
elseif (N <= 0),
error ('The signal length N must be strictly positive' );
elseif (nargin == 2)
if length(p1) ~= 2
error('Bad number of coefficients for P1');
end
f0 = p1(1) ;
c = p1(2) ;
elseif (nargin == 3) ;
if (length(p1) ~= 2) |(length(p2) ~= 2),
error('Bad number of coefficients for P1 or P2');
end
if p1(1)>N | p1(1)<1,
error ('P1(1) must be between 1 and N');
elseif p2(1)>N | p2(1)<1,
error ('P2(1) must be between 1 and N');
elseif p1(2)<0,
error ('P1(2) must be > 0');
elseif p2(2)<0,
error ('P2(2) must be > 0');
end
c = (p2(2) - p1(2))/(1/p2(1) - 1/p1(1)) ;
f0 = p1(2) - c/p1(1) ;
end
t = 1:N ;
phi = 2*pi*(f0*t + c*log(abs(t)));
iflaw = (f0 + c*abs(t).^(-1)).' ;
aliasing = find(iflaw < 0 | iflaw > 0.5) ;
if isempty(aliasing) == 0
disp(['!!! WARNING: signal is undersampled or has negative frequencies']) ;
end
x = exp(i*phi).';