📄 fmpower.m
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function [x,iflaw]=fmpower(N,k,p1,p2)%FMPOWER Signal with power-law frequency modulation.% [X,IFLAW]=FMPOWER(N,K,P1,P2) generates a signal with a% power-law frequency modulation.% X(t) = exp(j*2*pi(F0*t + C/(1-K)*abs(t).^(1-K))) %% N : number of points in time% K : degree of the power-law (K~=1)% P1 : if the number of input arguments (NARGIN) is 3, P1 is a % vector containing the two coefficients [F0 C] for a% power-law instantaneous frequency (sampling frequency is set to 1).% If NARGIN=4, 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 if NARGIN=4 (optional)% X : time row vector containing the modulated signal samples% IFLAW : instantaneous frequency law%% Examples : % [X,IFLAW]=fmpower(128,0.5,[1 0.5],[100 0.1]);% subplot(211);plot(real(X));subplot(212);plot(IFLAW);%% See also GDPOWER, FMCONST, FMLIN, FMHYP, FMPAR, FMODANY, FMSIN.% P. Goncalves - October 1995, O. Lemoine - April 1996.% Copyright (c) 1995 Rice University, 1996 CNRS (France).%% ------------------- 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 <= 2), error ( 'The number of parameters must be at least 3.' );elseif (N <= 0), error ('The signal length N must be strictly positive' );elseif abs(k-1)<sqrt(eps), error('K must be different from 1');elseif nargin == 3 if length(p1) ~= 2 error('Bad number of coefficients'); end f0 = p1(1) ; c = p1(2) ;elseif nargin == 4 ; 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)^k - 1/p1(1)^k) ; f0 = p1(2) - c/p1(1)^k ;end t=1:N;phi = 2*pi*(f0*t + c/(1-k)*abs(t).^(1-k)) ;iflaw = (f0 + c*abs(t).^(-k)).' ;aliasing = find(iflaw<0 | iflaw>0.5) ;if isempty(aliasing) == 0 disp(['!!! WARNING: signal is undersampled or has negative frequencies']) ;endx = exp(i*phi).';
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