annotate general/discretise/linmap.m @ 61:eff6bddf82e3 tip

Finally implemented perceptual brightness thing.
author samer
date Sun, 11 Oct 2015 10:20:42 +0100
parents e44f49929e56
children
rev   line source
samer@4 1 function M=linmap(p1,p2,p3)
samer@4 2 % linmap - Create linearly spaced discretisation map
samer@4 3 %
samer@4 4 % linmap :: Min:real, Max:real, N:natural -> dmap(N).
samer@4 5 % linmap :: [Min,Max]:[[1,2]], N:natural -> dmap(N).
samer@4 6 %
samer@4 7 % Parameters work almost but not quite like linspace: the
samer@4 8 % third parameter is the number of GAPS, not the number of
samer@4 9 % points, defining the map, So for a map with edges at 0:10,
samer@4 10 % use linmap(0,10,10). To get the same edges from linspace,
samer@4 11 % you would need linspace(0,10,11).
samer@4 12
samer@4 13 % unpack parameters
samer@4 14 if nargin==2, min=p1(1); max=p1(2); bins=p2;
samer@4 15 else min=p1; max=p2; bins=p3; end
samer@4 16
samer@4 17 dx=(max-min)/bins;
samer@4 18 M=dmap(bins,@(t)map(bins,min,1/dx,t),@(t)revmap(min,dx,t));
samer@4 19
samer@4 20 function I=map(N,min,k,X)
samer@4 21 I=1+floor(k*(X-min));
samer@4 22 I(I<1)=-inf;
samer@4 23 I(I>N)=inf;
samer@4 24
samer@4 25 function X=revmap(min,ik,I)
samer@4 26 I=shiftdim(shiftdim(I),-1);
samer@4 27 X1=min+(I-1)*ik;
samer@4 28 X2=min+(I)*ik;
samer@4 29 X=cat(1,X1,X2);
samer@4 30