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    <title>Posts on Avinash Singh</title>
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    <description>Recent content in Posts on Avinash Singh</description>
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      <title>Simplified 1-D Kalman Filter</title>
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      <description>Variable Naming Convention     $x_t$​: state
$z_t$: measurement
$u_t$​: control action
Mean Calculation     $\mu$: Mean of the prior belief
$\sigma^{2}$: Variance of the prior belief
$\nu$: Mean of the measurement
$r^{2}$: Variance of the measurement
Measurement update Formulas     The new mean is calculated as a weighted sum of the prior belief and measurement means.
$$\mu&#39;=\frac{r^2\mu+\sigma^2\nu}{r^2+\sigma^2}$$
The new variance can be calculated as:</description>
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