Mercurial > hg > flst
view matlab/flstViterbiUpdate.m @ 1:4283604499f8 tip
added mini probability to delta (not sure if this is a good idea, but I did it)
author | matthiasm |
---|---|
date | Mon, 10 Nov 2014 19:38:49 +0000 |
parents | 1df4a6fb0d22 |
children |
line wrap: on
line source
function d = flstViterbiUpdate(obsLik, d, isFinal) if nargin < 3 isFinal = 0; end % d.psi(:,1:(d.memory-1)) = d.psi(:,2:d.memory); d.psi = circshift(d.psi, -1, 2); % d.scale(1:(d.memory-1)) = d.scale(2:d.memory); d.scale = circshift(d.scale, -1, 2); if d.updateCount == 0 % initialise first frame d.oldDelta = d.init .* obsLik; deltaSum = sum(d.oldDelta); d.oldDelta = d.oldDelta / deltaSum; d.scale(d.memory) = 1.0/deltaSum; else tempPsi = ones(d.nState, 1); % calculate best previous state for every current state % this would be the "sparse" loop in C++ % for jState = 1:d.nState % temp = d.oldDelta(d.from) .* d.prob'; % [d.delta(jState), tempPsi(jState)] = max(temp(d.to==jState)); % end for iTrans = 1:d.nTrans transProb = d.prob(iTrans); fromState = d.from(iTrans); toState = d.to(iTrans); currentValue = d.oldDelta(fromState) * transProb; if (currentValue > d.delta(toState)) d.delta(toState) = currentValue; % will be multiplied by the right obs later! tempPsi(toState) = fromState; end end % d.delta = d.delta .* obsLik; d.delta = d.delta .* obsLik + eps; deltaSum = sum(d.delta); if deltaSum > 0 d.oldDelta = d.delta / deltaSum; % normalise (scale) d.scale(d.memory) = 1.0/deltaSum; d.delta = zeros(size(d.delta)); else warning('Viterbi has been fed some zero probabilities (update %d),\nat least they become zero in combination with the model.', d.updateCount); d.oldDelta = ones(d.nState,1)/d.nState; d.scale(d.memory) = 1.0; d.delta = zeros(size(d.delta)); end d.psi(:,d.memory) = tempPsi; end d.updateCount = d.updateCount + 1; if isFinal temp = flstDecode(d); d.path = [d.path, temp]; elseif d.updateCount > (d.memory-1) temp = flstDecode(d); d.path = [d.path, temp(1)]; end