this is for holding javascript data
jBillou edited Waveform optimization.tex
over 9 years ago
Commit id: f94d8e5d7de59af9767621029ff687e51a0f9443
deletions | additions
diff --git a/Waveform optimization.tex b/Waveform optimization.tex
index 2272976..88fbb1f 100644
--- a/Waveform optimization.tex
+++ b/Waveform optimization.tex
...
substituting into Eq.\ref{eqn:Qem} we find:
$\int_X \sum_i^N [ \sum_t^{T_i} (d_t^i - m(x_t^i))^2
] +
\log(P(x_i^t|\Theta_{k}))]P(X|D,\Theta_{k-1})$ \int_X \sum_i^N [ \log(P(x_i^t|\Theta_{k}))]P(X|D,\Theta_{k-1}) ]$
Next we want to take the derivative of this expression with respect with the components of $\Theta_{k}$ that defines the waveform and equate it to zero to find its maximum. As
$\log(P(x_i^t|\Theta_{k}))]P(X|D,\Theta_{k-1})$ the second integral does not depend on the waveform, it can be neglected, as well as any constant multiplicative or additive factors.