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📄 sfuntf.m

📁 数字通信第四版原书的例程
💻 M
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function  [sys, x0]  = sfuntf(t,x,u,flag,fftpts,npts,HowOften,offset,ts,averaging)
%SFUNTF an S-function which performs transfer function analysis using ffts.
%
%	This M-file is designed to be used in a SIMULINK S-function block.
%	It stores up a buffer of input and output points of the system 
%       then plots the frequency response of the system based on this information.
%	
%	The input arguments are:
%	npts:		number of points to use in the fft (e.g. 128)
%	HowOften: 	how often to plot the ffts (e.g. 64)
%	offset: 	sample time offset (usually zeros)
%	ts: 		how often to sample points (secs)
%	averaging: 	whether to average the transfer function or not
%
%	The spectrum analyzer displays three plots: the time history, 
%	the phase and magnitude of the transfer function. 

%	Copyright (c) 1990-94 by The MathWorks, Inc.
%	Andrew Grace 5-30-91.
%	Revised Wes Wang 4-28-93.

if abs(flag) == 2   % Flag equals 2 on a real time hit 
	% Is it a sample hit ?
	nstates = (2*npts + 2 + averaging*(2*round(fftpts/2)) + 2)/2;
	sys = zeros(nstates,2);
	sys(:) = x;
	h_fig = sys(nstates, 2);
	if h_fig <= 0
		% Graph initialization

		[sl_name,blocks] = get_param;
		[n_b, m_b]= size(blocks);
		if n_b < 1
			error('Cannot delete block while simulating')
		elseif n_b > 1
			error('Something wrong in get_param, You don''t have the current SIMULINK')
		end;
		% findout if the graphics window exist
		ind = find(sl_name == setstr(10));
		for i = ind
			sl_name(i) = '_';
		end;
		Figures = get(0,'Chil');
		new_figure = 1;
		for i = 1:length(Figures)
			if strcmp(get(Figures(i), 'Type'), 'figure')
				if strcmp(get(Figures(i), 'Name'), sl_name)
					h_fig = Figures(i);
					handels = get(h_fig,'UserData');
					if length(handels) == 9
						new_figure = 0;
						%handels = [h_sub311, h_plot1, h_plot2, h_sub312, h_plot1, h_plot2, h_sub313, h_plot1, h_plot2]
						for j=1:3
							set(handels(j*3-2),'Visible','off');
							set(handels(j*3-1),'XData',0,'YData',0,'Erasemode','none');
							set(handels(j*3),  'XData',0,'YData',0,'Erasemode','none');
							xl = get(handels(j*3-2),'Xlabel');
							set(xl, 'String','');
							tl = get(handels(j*3-2),'Title');
							set(tl, 'String','');
						end;
						yl = get(handels(7), 'Ylabel');
						set(yl,'String','')
					end;
				end;
			end;
		end;
		if new_figure
			h_fig = figure('Unit','pixel','Pos',[100 100 400 500],'Name',sl_name);
			set(0, 'CurrentF', h_fig);
			%subplot311
			handels(1) = subplot(311);
			handels(2) = plot(0,0,'m','EraseMode','None');
			set(handels(1),'NextPlot','add');
			handels(3) = plot(0,0,'c','EraseMode','None');
			set(handels(1),'Visible','off');
			set(handels(1),'NextPlot','new');
			%subplot312
			handels(4) = subplot(312);
			handels(5) = plot(0,0,'EraseMode','None');
			handels(6) = handels(5);
			set(handels(4),'Visible','off');
			%subplot313
			handels(7) = subplot(313);
			handels(8) = plot(0,0,'EraseMode','None');
			handels(9) = handels(8);
			set(handels(7),'Visible','off');
		end;
		tl = get(handels(4),'Title');
		set(tl, 'String','Working - Please Wait');
		set(h_fig, 'UserData', handels);
		set(h_fig, 'NextPlot', 'new')
		sys(nstates,2) = h_fig;
		drawnow;
	end;

	if rem(t - offset + 1000*eps, ts) < 10000*eps
		x(1,1) = x(1,1) + 1;
		sys(x(1,1),:) = u(:)';
		div = x(1,1)/HowOften;
		if (div == round(div))
			ya = [sys(x(1,1)+1:npts+1,1);sys(2:x(1,1),1)];
			yb = [sys(x(1,1)+1:npts+1,2);sys(2:x(1,1),2)];
			n = fftpts/2;
			freq = 2*pi*(1/ts); % Multiply by 2*pi to get radians
			w = freq*(0:n-1)./(2*(n-1));

			% % Hanning window to remove transient effects at the
			% beginning and end of the time sequence.
			nw = min(fftpts, npts);
			win = .5*(1 - cos(2*pi*(1:nw)'/(nw+1)));

			ga = fft(win.*ya(1:nw),fftpts);
			gb = fft(win.*yb(1:nw),fftpts);

			% Perform averaging with overlap if number of fftpts
			% is less than buffer

			ng = fftpts;

			% Averaging without overlap:
			while (ng <= (npts - fftpts))
				ga = (ga + fft(win.*ya(ng+1:ng+nw),fftpts)) / 2;
				gb = (gb + fft(win.*yb(ng+1:ng+nw),fftpts)) / 2;				
				ng = ng + n; % For no overlap set: ng = ng + fftpts;
			end
			
			g = gb(1:n)./ga(1:n);			
			phase = (180/pi)*unwrap(atan2(imag(g),real(g)));
			mag  = abs(g);

			% Averaging:
			if averaging 	
				cnt  = sys(1,2);
				sys(npts+2:npts+1+n,1) = cnt/(cnt+1) *  sys(npts+2:npts+1+n,1) + mag/(cnt + 1);
				sys(npts+2:npts+1+n,2) = cnt/(cnt+1) *  sys(npts+2:npts+1+n,2) + phase/(cnt + 1);
				sys(1,2) = sys(1,2) + 1;
				mag = sys(npts+2:npts+1+n,1);
				phase = sys(npts+2:npts+1+n,2);
			end

			h_fig = sys(nstates, 2);
			handels = get(h_fig,'UserData');

			if averaging 
				tmp = 'Averaged Transfer Function ';
			else
				tmp = 'Transfer Function ';
			end

			tvec = (t - ts * npts + ts * (1:npts));
			set(handels(1),'Visible','on','Xlim',[min(tvec), max(tvec)],'Ylim',[min(min([ya;yb])), max(max([ya;yb+eps]))])
			set(handels(2),'XData',tvec,'YData',ya)
			set(handels(3),'XData',tvec,'YData',yb);
			tl = get(handels(1),'Title');
			set(tl, 'String','Time history (1st: magenta; 2nd: cyan)');
			xl = get(handels(1), 'Xlabel');
			set(xl, 'String', 'Time (secs)')

			ysc = phase(~isnan(phase));
			if isempty(ysc)
				ysc=[0 1];
			else
				ysc = [min(ysc), max(ysc+eps)];
			end;
			set(handels(7),'Visible','on','Xlim',[min(w) max(w)],'Ylim',ysc)
			set(handels(8),'XData',w,'YData',phase)
			tl = get(handels(7),'Title');
			set(tl, 'String',[tmp '(phase)'])
			xl = get(handels(7), 'Xlabel');
			set(xl, 'String', 'Frequency (rads/sec)')
			yl = get(handels(7), 'Ylabel');
			set(yl, 'String','Degrees')

			ysc = mag(~isnan(mag));
			if isempty(ysc)
				ysc=[0 1];
			else
				ysc = [min(ysc), max(ysc+eps)];
			end;
			set(handels(4),'Visible','on','Xlim',[min(w) max(w)],'Ylim',ysc)
			set(handels(5),'XData',w,'YData',mag)
			xl = get(handels(4), 'Xlabel');
			set(xl, 'String', 'Frequency (rads/sec)')
			tl = get(handels(4),'Title');
			set(tl, 'String',[ tmp '(magnitude)'])
		end
		if sys(1,1) == npts
			x(1,1) = 1;
		end
		sys(1,1) = x(1,1);
	end

elseif flag == 4				 % Return next sample hit
	ns = (t - offset)/ts;  % Number of samples
	sys = offset + (1 + floor(ns + 1e-13*(1+ns)))*ts;

elseif flag  == 0 				% Initialization
	% Number of discrete states for storage:
	nstates = 2*npts + 2 + averaging*(2*round(fftpts/2)) + 2;

	sys = [0;nstates;0;2;0;0]; 		% Sizes of system (see SFUNC)
	x0 = zeros(nstates/2,2); 		% Initial conditions
	x0(1,1) = 1;				% Set counter to 1.
	if HowOften > npts
		error('The number of points in the buffer must be more than the plot frequency')
	end
	x0(nstates/2,2) = 0;
else 						% Other flag options ignored
	sys = [];
end

% sfuntf

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