this is for holding javascript data
jBillou edited Waveform optimization.tex
over 9 years ago
Commit id: dbee0c017ff6e95abf8e033b4cb626025185ce8c
deletions | additions
diff --git a/Waveform optimization.tex b/Waveform optimization.tex
index e7d6ec6..a405ffe 100644
--- a/Waveform optimization.tex
+++ b/Waveform optimization.tex
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Denoting the coefficient of the waveform $w(\phi[m]) = f[m]$ :
\begin{align*}
\partial/\partial{f[u]}
&\sum_i \sum_t \sum_l &\sum_{i,t,l} \sum_m (d_t^i - \exp(\lambda[l])f[m])^2 P_t^i[l,m] = 0\\
&\sum_i \sum_t \sum_l &\sum_{i,t,l} \exp(\lambda[l])(d_t^i - \exp(\lambda[l])f[u]) P_t^i[l,u] = 0\\
&\sum_i \sum_t \sum_l &\sum_{i,t,l} \exp(\lambda[l])d_t^i P_t^i[l,u] = \sum_i \sum_t \sum_l \exp(2\lambda[l])f[u] P_t^i[l,u]\\
\end{align*}
Finally:
\begin{equation}
f[u] =
(\sum_i \sum_t \sum_l (\sum_{i,t,l} \exp(\lambda[l])d_t^i P_t^i[l,u] ) / (
\sum_i \sum_t \sum_l \sum_{i,t,l} \exp(2\lambda[l]) P_t^i[l,u] )
\end{equation}