tstricia.m

数字通信第四版原书的例程

		'position',[140,61,165,89])
add_line([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],[85,75;135,75])
add_line([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],[170,75;215,75])
add_line([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],[245,70;280,70])
add_line([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],[165,30;190,30;190,65;215,65])
set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'Mask Display','plot(0,0,100,100,x,y);Gaussian',...
		'Mask Type','Gaussian noise generator')
set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'Mask Dialogue','Generate Gaussian distributed noise with\ngiven mean and variance value.|Mean value:|Variance (vector or matrix):|Initial seed:')
set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'Mask Translate','m=@1;d=@2;s=@3;[m,d,s]=gwnoise(m,d,s);[x,y]=srcsicon(3);')
set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'Mask Help','When the mean value and seed are vectors, the output of this block is a vector. The length of the vector is the same as the length of the mean value vector or the length of the seed. When the variance entry is a vector, the variance is a diagonal matrix.')
set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'Mask Entries','m2\/s\/seed+max(seed+1)\/')


%     Finished composite block ['Rician noise',13,'generator2/Gaussian noise',13,'generator1'].

set_param([sys,'/',['Rician noise',13,'generator2/Gaussian noise',13,'generator1']],...
		'position',[40,108,120,152])
add_line([sys,'/',['Rician noise',13,'generator2']],[375,65;405,65])
add_line([sys,'/',['Rician noise',13,'generator2']],[270,65;290,65])
add_line([sys,'/',['Rician noise',13,'generator2']],[200,130;210,130;210,70;240,70])
add_line([sys,'/',['Rician noise',13,'generator2']],[125,130;135,130;135,125;160,125])
add_line([sys,'/',['Rician noise',13,'generator2']],[135,130;135,135;160,135])
add_line([sys,'/',['Rician noise',13,'generator2']],[195,60;240,60])
add_line([sys,'/',['Rician noise',13,'generator2']],[125,60;135,60;135,55;155,55])
add_line([sys,'/',['Rician noise',13,'generator2']],[135,60;135,65;155,65])
set_param([sys,'/',['Rician noise',13,'generator2']],...
		'Mask Display','plot(0,0,100,100,x,y);Rician (m)',...
		'Mask Type','Rician noise generator')
set_param([sys,'/',['Rician noise',13,'generator2']],...
		'Mask Dialogue','Generate Rician distributed noise.\nThe output vector size of this block is the same as the vector size of the seed.|In-phase component m:|Quadrature component m:|sigma:|Seed:')
set_param([sys,'/',['Rician noise',13,'generator2']],...
		'Mask Translate','m1=@1;m2=@2;s=@3;seed=@4;[x,y]=srcsicon(3);')
set_param([sys,'/',['Rician noise',13,'generator2']],...
		'Mask Help','The Rician noise is composed with two independant Gaussian noises. These two Gaussain noises have a same std, sigma. Their mean values are m1 and m2 respectively.  The output vector size of this block is the same as the vector size of the seed.')
set_param([sys,'/',['Rician noise',13,'generator2']],...
		'Mask Entries','sqrt(2)\/sqrt(2)\/1\/5621231\/')


%     Finished composite block ['Rician noise',13,'generator2'].

set_param([sys,'/',['Rician noise',13,'generator2']],...
		'hide name',0,...
		'position',[30,83,110,127])

add_block('built-in/Product',[sys,'/','Product'])
set_param([sys,'/','Product'],...
		'hide name',0,...
		'position',[160,93,190,117])


%     Subsystem  'Mean and var'.

new_system([sys,'/','Mean and var'])
set_param([sys,'/','Mean and var'],'Location',[16,148,774,399])

add_block('built-in/Outport',[sys,'/',['Mean and var/Mean',13,'Squared',13,'Error1']])
set_param([sys,'/',['Mean and var/Mean',13,'Squared',13,'Error1']],...
		'Port','2',...
		'position',[700,135,720,155])

add_block('built-in/Fcn',[sys,'/','Mean and var/Fcn4'])
set_param([sys,'/','Mean and var/Fcn4'],...
		'Expr','u[1]*u[1]',...
		'position',[555,107,620,133])

add_block('built-in/Mux',[sys,'/','Mean and var/Mux2'])
set_param([sys,'/','Mean and var/Mux2'],...
		'inputs','2',...
		'position',[515,101,545,134])

add_block('built-in/Sum',[sys,'/','Mean and var/Sum'])
set_param([sys,'/','Mean and var/Sum'],...
		'inputs','-+',...
		'position',[645,135,665,155])

add_block('built-in/Fcn',[sys,'/','Mean and var/Fcn'])
set_param([sys,'/','Mean and var/Fcn'],...
		'Expr','(u[3]*(u[2]-1) + u[1]*u[1])/u[2]',...
		'position',[290,136,465,164])

add_block('built-in/Unit Delay',[sys,'/','Mean and var/Unit Delay'])
set_param([sys,'/','Mean and var/Unit Delay'],...
		'orientation',2,...
		'Sample time','Ts',...
		'position',[345,192,395,208])

add_block('built-in/Mux',[sys,'/','Mean and var/Mux'])
set_param([sys,'/','Mean and var/Mux'],...
		'inputs','3',...
		'position',[235,134,265,166])

add_block('built-in/Fcn',[sys,'/','Mean and var/Fcn3'])
set_param([sys,'/','Mean and var/Fcn3'],...
		'Expr','(u[3]*(u[2]-1) + u[1])/u[2]',...
		'position',[290,41,465,69])

add_block('built-in/Mux',[sys,'/','Mean and var/Mux1'])
set_param([sys,'/','Mean and var/Mux1'],...
		'inputs','3',...
		'position',[235,39,265,71])

add_block('built-in/Outport',[sys,'/','Mean and var/mean value'])
set_param([sys,'/','Mean and var/mean value'],...
		'position',[545,45,565,65])

add_block('built-in/Unit Delay',[sys,'/','Mean and var/Unit Delay1'])
set_param([sys,'/','Mean and var/Unit Delay1'],...
		'orientation',2,...
		'Sample time','Ts',...
		'position',[350,87,400,103])

add_block('built-in/Fcn',[sys,'/','Mean and var/Fcn2'])
set_param([sys,'/','Mean and var/Fcn2'],...
		'Expr','u[1]/Ts +1',...
		'position',[105,83,165,107])

add_block('built-in/Digital Clock',[sys,'/','Mean and var/Digital Clock'])
set_param([sys,'/','Mean and var/Digital Clock'],...
		'Sample time','Ts',...
		'position',[45,80,80,110])

add_block('built-in/Inport',[sys,'/','Mean and var/Actual'])
set_param([sys,'/','Mean and var/Actual'],...
		'position',[25,35,45,55])
add_line([sys,'/','Mean and var'],[670,145;695,145])
add_line([sys,'/','Mean and var'],[550,120;550,120])
add_line([sys,'/','Mean and var'],[170,95;190,95;190,150;230,150])
add_line([sys,'/','Mean and var'],[190,125;510,125])
add_line([sys,'/','Mean and var'],[470,55;540,55])
add_line([sys,'/','Mean and var'],[495,55;495,95;405,95])
add_line([sys,'/','Mean and var'],[495,95;495,110;510,110])
add_line([sys,'/','Mean and var'],[625,120;625,140;640,140])
add_line([sys,'/','Mean and var'],[470,150;480,150;480,200;400,200])
add_line([sys,'/','Mean and var'],[480,150;640,150])
add_line([sys,'/','Mean and var'],[50,45;230,45])
add_line([sys,'/','Mean and var'],[200,45;200,140;230,140])
add_line([sys,'/','Mean and var'],[345,95;210,95;210,65;230,65])
add_line([sys,'/','Mean and var'],[190,95;190,55;230,55])
add_line([sys,'/','Mean and var'],[270,55;285,55])
add_line([sys,'/','Mean and var'],[270,150;285,150])
add_line([sys,'/','Mean and var'],[340,200;220,200;230,160])
add_line([sys,'/','Mean and var'],[85,95;100,95])
set_param([sys,'/','Mean and var'],...
		'Mask Display','Mean\n& var',...
		'Mask Type','Running mean and var',...
		'Mask Dialogue','Output the running mean to 1st outport\nand running variant to 2nd outport.|Sample time (sec):')
set_param([sys,'/','Mean and var'],...
		'Mask Translate','Ts=@1;',...
		'Mask Help','This block updates the running mean and variant value at sampling time point. The mean and var values are outputted into 1st and 2nd outports respectively.')
set_param([sys,'/','Mean and var'],...
		'Mask Entries','.1\/')


%     Finished composite block 'Mean and var'.

set_param([sys,'/','Mean and var'],...
		'hide name',0,...
		'position',[215,83,295,127])

add_block('built-in/Mux',[sys,'/','Mux'])
set_param([sys,'/','Mux'],...
		'hide name',0,...
		'inputs','5',...
		'position',[340,30,375,140])

add_block('built-in/Note',[sys,'/',['Assume the the sigma value is 1, the means for in-phase and      ',13,'quadrature are mI and mQ. The K-factor K=(mI^2+mQ^2)//2, then,']])
set_param([sys,'/',['Assume the the sigma value is 1, the means for in-phase and      ',13,'quadrature are mI and mQ. The K-factor K=(mI^2+mQ^2)//2, then,']],...
		'position',[230,185,235,190])


%     Subsystem  'Graph'.

new_system([sys,'/','Graph'])
set_param([sys,'/','Graph'],'Location',[0,59,274,252])

add_block('built-in/S-Function',[sys,'/',['Graph/S-function',13,'M-file which plots',13,'lines',13,'']])
set_param([sys,'/',['Graph/S-function',13,'M-file which plots',13,'lines',13,'']],...
		'function name','sfuny',...
		'parameters','ax, color,dt',...
		'position',[130,55,180,75])

add_block('built-in/Inport',[sys,'/','Graph/x'])
set_param([sys,'/','Graph/x'],...
		'position',[65,55,85,75])
add_line([sys,'/','Graph'],[90,65;125,65])
set_param([sys,'/','Graph'],...
		'Mask Display','plot(0,0,100,100,[90,10,10,10,90,90,10],[65,65,90,40,40,90,90],[90,78,69,54,40,31,25,10],[77,60,48,46,56,75,81,84])',...
		'Mask Type','Graph scope.')
set_param([sys,'/','Graph'],...
		'Mask Dialogue','Graph scope using MATLAB graph window.\nEnter plotting ranges and line type:|Time range:|y-min:|y-max:|Line type (rgbw-:*). Seperate each plot by ''/'':|Sample time:')
set_param([sys,'/','Graph'],...
		'Mask Translate','color = @4; ax = [0, @1, @2, @3]; dt = @5;')
set_param([sys,'/','Graph'],...
		'Mask Help','This block plots to the MATLAB graph window and can be used as an improved version of the Scope block. Look at the m-file sfuny.m to see how it works. This block can take scalar or vector input signal.')
set_param([sys,'/','Graph'],...
		'Mask Entries','20\/-.2\/30\/''y-/g--/y:/g:/y-./g-./m*/ro/b+''\/.1\/')


%     Finished composite block 'Graph'.

set_param([sys,'/','Graph'],...
		'hide name',0,...
		'position',[415,66,445,104])

add_block('built-in/Note',[sys,'/',['The mean value of the sqaure of the Rician noise output is 2+2K     ',13,'and the variance of the square of the Rician noise output is 2(2+4K)']])
set_param([sys,'/',['The mean value of the sqaure of the Rician noise output is 2+2K     ',13,'and the variance of the square of the Rician noise output is 2(2+4K)']],...
		'position',[235,215,240,220])
add_line(sys,[380,85;410,85])
add_line(sys,[115,105;130,105;130,100;155,100])
add_line(sys,[195,105;210,105])
add_line(sys,[130,105;130,110;155,110])
add_line(sys,[195,55;210,55])
add_line(sys,[115,55;130,55;130,60;155,60])
add_line(sys,[130,55;130,50;155,50])
add_line(sys,[300,45;335,45])
add_line(sys,[300,65;335,65])
add_line(sys,[300,95;310,95;310,85;335,85])
add_line(sys,[300,115;315,115;315,105;335,105])
add_line(sys,[280,145;300,145;300,125;335,125])

drawnow

% Return any arguments.
if (nargin | nargout)
	% Must use feval here to access system in memory
	if (nargin > 3)
		if (flag == 0)
			eval(['[ret,x0,str,ts,xts]=',sys,'(t,x,u,flag);'])
		else
			eval(['ret =', sys,'(t,x,u,flag);'])
		end
	else
		[ret,x0,str,ts,xts] = feval(sys);
	end
else
	drawnow % Flash up the model and execute load callback
end