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jBillou edited Waveform optimization.tex
over 9 years ago
Commit id: 87b474c3511317fd99726054c88530ec20969b5b
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diff --git a/Waveform optimization.tex b/Waveform optimization.tex
index 810c564..1d4efd6 100644
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\int_X \sum_{i=1}^N \left[ \sum_{t=1}^{T_i} (d_t^i - m(x_t^i))^2 \right] P(X|D,\Theta_{k-1}) + \int_X \sum_{i=1}^N \left[ \log(P(X|\Theta_{k})) \right] P(X|D,\Theta_{k-1})
\end{equation}
Next we want to take the derivative of this expression with respect to the components of $\Theta_{k}$ that defines the waveform and equate it to zero to find its maximum. As the second integral does not depend on the waveform, it can be neglected, as well as any multiplicative or additive factors that are independent of the waveform.
We can now expand the integral over the hidden states: