📄 altes.m
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function x=altes(N,fmin,fmax,alpha) ;%ALTES Altes signal in time domain.% X=ALTES(N,FMIN,FMAX,ALPHA) generates the Altes signal in% the time domain.%% N : number of points in time % FMIN : lower frequency bound (value of the hyperbolic% instantaneous frequency law at the sample N), % in normalized frequency (default : .05) % FMAX : upper frequency bound (value of the hyperbolic% instantaneous frequency law at the first sample), % in normalized frequency (default : 0.5)% ALPHA : attenuation factor of the envelope (default : 300)% X : time row vector containing the Altes signal samples.%% Example: % x=altes(128,0.1,0.45); plot(x);%% See also KLAUDER, ANASING, ANAPULSE, ANASTEP, DOPPLER.% P. Goncalves - September 1995.% Copyright (c) 1995 Rice University%% This program is free software; you can redistribute it and/or modify% it under the terms of the GNU General Public License as published by% the Free Software Foundation; either version 2 of the License, or% (at your option) any later version.%% This program is distributed in the hope that it will be useful,% but WITHOUT ANY WARRANTY; without even the implied warranty of% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the% GNU General Public License for more details.%% You should have received a copy of the GNU General Public License% along with this program; if not, write to the Free Software% Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USAif (nargin == 0), error ( 'The number of parameters must be at least 1.' );elseif (nargin == 1), fmin=0.05; fmax=0.5; alpha=300;elseif (nargin == 2), fmax=0.5; alpha=300;elseif (nargin == 3), alpha=300 ;end;if (N <= 0), error ('The signal length N must be strictly positive' );elseif (fmin > 0.5) | (fmin < 0), error ( 'FMIN must be in ]0 , 0.5]' ) ;elseif (fmax > 0.5) | (fmax < 0), error ( 'FMAX must be between 0 and 0.5' ) ;elseif (alpha <= 1), error ( 'ALPHA must be > 1' ) ;else g = exp((log(fmax/fmin))^2/(8*log(alpha))) ; nu0 = sqrt(fmin*fmax) ; beta=sqrt(2*log(g)*log(alpha)); t0 = N/(exp(beta)-exp(-beta)) ; t1 = t0*exp(-beta); t2 = t0*exp(beta) ; b = -t0*nu0*g*log(g) ; t = linspace(t1,t2,N+1) ; t = t(1:N) ; x = (exp(-(log(t./t0).^2)/(2*log(g)))).*cos(2*pi*b*log(t./t0)/log(g)) ; x = x.'/norm(x) ;end
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