Problem with the function Graypolarplot

solmyr slalleme at dlaoctet.com
Mon Apr 23 15:06:39 CEST 2012


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 !


///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)/

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