Hi,
I need to build an angular sound cartography. For this, I have a row vector called "theta" for the value of the angle, a row vector called "r" for the value of radius. I also have a matrix of size [theta, r] in which are placed the values of sound level in dB(A). I found the function graypolarplot very good for that but I guess there's a problem of scale of colour...
I tried the example of the documentation and it works well. I tried to use this example like base to build my own map but when I put my matrix in place of the original function, the scale of colormap is totally wrong...
For example, my scale goes from 59 to 83 dB(A) and the colours displayed are from 60 to 70 dB(A)...
I can copy and paste my code for you try it and tell me if you have the same problem.
Thanks by advance !
<i>//Background value of noise (dB(A))
Lbdf=46;
//Matrix values in dB(A), each line represents the radius
z0=[80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5];
z1=[75.5 74.5 73.1 72.5 73.1 79.6 73.1 74.1 74.6 75.5 75.5 76.3 77.9 79.3 78.3 78.7 75.5];
z2=[72.5 70 71 68.5 68.5 68.6 70 70 70.9 72.4 71.8 71.8 73.3 73 73 73.1 72.5];
z3=[70 67.6 67.3 65.4 65.7 66.1 67.9 67 68 68.5 68.9 70.2 69.8 70.5 70.1 69.9 70];
z4=[67.6 66.5 66.1 64.2 64 67.5 65.3 65.1 67 66.6 66 65.8 66.5 67 67.3 67.4 67.6];
z5=[66.5 64.9 63.9 63.3 61.8 61.5 62.7 63.9 63.7 64.9 64.6 67.8 64.8 65.1 68.1 66.7 66.5];
//Values of discretization
theta=(0:%pi/8:2*%pi); //Basic discretization for the angle
thetai=(0:%pi/64:2*%pi); //Thin discretization to smooth the map for the angle
r=(0:5); //Basic discretization for the radius
ri=(0:0.1:5); //Thin discretization to smooth the map for the radius
//Smoothing of the matrix, I will simplify this later...
d0=splin(theta,z0);
z0i=interp(thetai,theta,z0,d0);
d1=splin(theta,z1);
z1i=interp(thetai,theta,z1,d1);
d2=splin(theta,z2);
z2i=interp(thetai,theta,z2,d2);
d3=splin(theta,z3);
z3i=interp(thetai,theta,z3,d3);
d4=splin(theta,z4);
z4i=interp(thetai,theta,z4,d4);
d5=splin(theta,z5);
z5i=interp(thetai,theta,z5,d5);
Z=[z0i' z1i' z2i' z3i' z4i' z5i'];
for i=1:length(Z(:,1))
d(i,:)=splin(r,Z(i,:));
Zi(i,:)=interp(ri,r,Z(i,:),d(i,:));
end
//Removing background noise to the smooth noise matrix
Lz=floor((20*log10(10^(Zi/20)-10^(Lbdf/20)))*10)/10;
//Variables for the mapping
zmin=min(Lz);
zmax=max(Lz);
nz=floor((zmax-zmin)/0.1); //This is for the resolution
h=jetcolormap(nz); //Creation of the colormap
//Display of the result
clf()
graypolarplot(thetai,ri,Lz)
xset('colormap',h)
colorbar(floor(zmin), floor(zmax+1))
title('Angular Noise Cartography','fontsize',3)</i>
<br/><hr align="left" width="300" />
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