1 Help on properties of the SIS particle filter.
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4 Model object. If no model is assigned, the object is considered empty
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5 and can't be used for filtering.
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9 Will be used as the time of the next filtering step, if nothing else is
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10 specified in the call to the filter method. See 'help ekf/filter' for more
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14 Sample points of the last filter operation. This is a column vector.
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15 Ts(k) contains the time at step k.
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18 Number of particles to use in the filter algorithm.
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21 The resampling threshold. Must be a double in the interval 0<=Nth<=N.
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24 Estimate of x, generated by the last filter operation.
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25 xhat(i,k) contains the estimate of state i at step k.
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28 One-step prediction of x, generated by the last filter operation.
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29 xpred(i,k) contains the prediction of state i at step k.
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32 Deterministic data used in the last filter operation, where u(:,k) is
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33 the data used at step k.
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36 Input data that was used in the last filter operation, where y(:,k) is
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37 the data used at step k.
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40 The importance weights.
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43 The particles used to generate xhat(:,end).
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46 The particles used to generate xpred(:,end).
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49 Size of the history buffer.
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50 The default, historysize=0 means that no history buffers will be created,
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51 and historysize=-1 creates buffers of unlimited size.
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52 History buffers are turned off by default to gain performance.
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