Fixed typo
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:9db8ce6c5109bbbdc28040752dc575e21e34a00bf0cd0ba8ac47e8b7cf7b2a20"
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"signature": "sha256:97b2f171dee324b433a935a17ca3a82b43169f655f4090827fc6587dbce6f8fe"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -1276,7 +1276,7 @@
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"\n",
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"The fading memory filter accounts for this problem by giving less weight to older measurements, and greater weight to the more recent measurements. \n",
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"\n",
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"There are many formulations for the fading memory Filter; I use the one provided by Dan simon in *Optimal State Estimation* [3]. I will not go through his derivation, but only provide the results.\n",
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"There are many formulations for the fading memory Filter; I use the one provided by Dan Simon in *Optimal State Estimation* [3]. I will not go through his derivation, but only provide the results.\n",
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"\n",
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"The Kalman filter equation for the covariances of the estimation error is\n",
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"\n",
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