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Bayes滤波器算法C++类说明文档,源码见Bayes滤波器算法

<h3><a name="index_q">- q -</a>
</h3><ul>
<li>Q()
: <a class="el" href="classBayesian__filter_1_1Unscented__predict__model.html#a2">Bayesian_filter::Unscented_predict_model</a></ul>
<h3><a name="index_r">- r -</a>
</h3><ul>
<li>relinearise()
: <a class="el" href="classBayesian__filter_1_1Iterated__observe__model.html#a0">Bayesian_filter::Iterated_observe_model</a><li>resample()
: <a class="el" href="classBayesian__filter_1_1Importance__resampler.html#a0">Bayesian_filter::Importance_resampler</a><li>resize()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1SymMatrixWrapper.html#a8">Bayesian_filter_matrix::detail::SymMatrixWrapper&lt; MatrixBase &gt;</a><li>roughen()
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#a6">Bayesian_filter::SIR_kalman_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a9">Bayesian_filter::SIR_scheme</a><li>roughen_correlated()
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#b0">Bayesian_filter::SIR_kalman_scheme</a><li>roughen_minmax()
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#b0">Bayesian_filter::SIR_scheme</a><li>rowi()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMMatrix.html#e1">Bayesian_filter_matrix::detail::FMMatrix&lt; MatrixBase &gt;</a></ul>
<h3><a name="index_s">- s -</a>
</h3><ul>
<li>Sample_filter()
: <a class="el" href="classBayesian__filter_1_1Sample__filter.html#a0">Bayesian_filter::Sample_filter</a><li>Sample_state_filter()
: <a class="el" href="classBayesian__filter_1_1Sample__state__filter.html#a0">Bayesian_filter::Sample_state_filter</a><li>Sampled_general_predict_model()
: <a class="el" href="classBayesian__filter_1_1Sampled__general__predict__model.html#a0">Bayesian_filter::Sampled_general_predict_model&lt; Predict_model &gt;</a><li>set_limit_PD()
: <a class="el" href="classBayesian__filter_1_1Numerical__rcond.html#a1">Bayesian_filter::Numerical_rcond</a><li>Simple_addative_predict_model()
: <a class="el" href="classBayesian__filter_1_1Simple__addative__predict__model.html#a0">Bayesian_filter::Simple_addative_predict_model</a><li>Simple_linear_correlated_observe_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linear__correlated__observe__model.html#a0">Bayesian_filter::Simple_linear_correlated_observe_model</a><li>Simple_linear_predict_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linear__predict__model.html#a0">Bayesian_filter::Simple_linear_predict_model</a><li>Simple_linear_uncorrelated_observe_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linear__uncorrelated__observe__model.html#a0">Bayesian_filter::Simple_linear_uncorrelated_observe_model</a><li>Simple_linrz_correlated_observe_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linrz__correlated__observe__model.html#a0">Bayesian_filter::Simple_linrz_correlated_observe_model</a><li>Simple_linrz_predict_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linrz__predict__model.html#a0">Bayesian_filter::Simple_linrz_predict_model</a><li>Simple_linrz_uncorrelated_observe_model()
: <a class="el" href="classBayesian__filter_1_1Simple__linrz__uncorrelated__observe__model.html#a0">Bayesian_filter::Simple_linrz_uncorrelated_observe_model</a><li>SIR_kalman_scheme()
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#a0">Bayesian_filter::SIR_kalman_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#n0">Bayesian_filter::SIR_scheme</a><li>SIR_scheme()
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a0">Bayesian_filter::SIR_scheme</a><li>State_filter()
: <a class="el" href="classBayesian__filter_1_1State__filter.html#a0">Bayesian_filter::State_filter</a><li>sub_column()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMMatrix.html#a9">Bayesian_filter_matrix::detail::FMMatrix&lt; MatrixBase &gt;</a><li>sub_matrix()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMMatrix.html#a7">Bayesian_filter_matrix::detail::FMMatrix&lt; MatrixBase &gt;</a><li>sub_range()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMVec.html#a8">Bayesian_filter_matrix::detail::FMVec&lt; VecBase &gt;</a><li>SymMatrixWrapper()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1SymMatrixWrapper.html#a3">Bayesian_filter_matrix::detail::SymMatrixWrapper&lt; MatrixBase &gt;</a></ul>
<h3><a name="index_t">- t -</a>
</h3><ul>
<li>term_or_relinearize()
: <a class="el" href="classBayesian__filter_1_1Counted__iterated__terminator.html#a1">Bayesian_filter::Counted_iterated_terminator</a>, <a class="el" href="classBayesian__filter_1_1Iterated__terminator.html#a0">Bayesian_filter::Iterated_terminator</a></ul>
<h3><a name="index_u">- u -</a>
</h3><ul>
<li>UD_scheme()
: <a class="el" href="classBayesian__filter_1_1UD__scheme.html#a0">Bayesian_filter::UD_scheme</a><li>UD_sequential_observe_model()
: <a class="el" href="classBayesian__filter_1_1UD__sequential__observe__model.html#a0">Bayesian_filter::UD_sequential_observe_model</a><li>Uncorrelated_addative_observe_model()
: <a class="el" href="classBayesian__filter_1_1Uncorrelated__addative__observe__model.html#a0">Bayesian_filter::Uncorrelated_addative_observe_model</a><li>uniform_01()
: <a class="el" href="structBayesian__filter_1_1SIR__random.html#a1">Bayesian_filter::SIR_random</a><li>unique_samples()
: <a class="el" href="classBayesian__filter_1_1Sample__state__filter.html#a5">Bayesian_filter::Sample_state_filter</a><li>Unscented_predict_model()
: <a class="el" href="classBayesian__filter_1_1Unscented__predict__model.html#a0">Bayesian_filter::Unscented_predict_model</a><li>Unscented_scheme()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a0">Bayesian_filter::Unscented_scheme</a><li>update()
: <a class="el" href="classBayesian__filter_1_1Indirect__kalman__filter.html#a5">Bayesian_filter::Indirect_kalman_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Indirect__state__filter.html#a4">Bayesian_filter::Indirect_state_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a4">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#a3">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#a2">Bayesian_filter::SIR_kalman_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#a3">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__root__scheme.html#a2">Bayesian_filter::Information_root_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#a3">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a3">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#a3">Bayesian_filter::CI_scheme</a>, <a class="el" href="classBayesian__filter_1_1Kalman__state__filter.html#a3">Bayesian_filter::Kalman_state_filter</a>, <a class="el" href="classBayesian__filter_1_1State__filter.html#a1">Bayesian_filter::State_filter</a><li>update_resample()
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#a4">Bayesian_filter::SIR_kalman_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a4">Bayesian_filter::SIR_scheme</a>, <a class="el" href="classBayesian__filter_1_1Sample__state__filter.html#a4">Bayesian_filter::Sample_state_filter</a><li>update_statistics()
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#a5">Bayesian_filter::SIR_kalman_scheme</a><li>update_XX()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a5">Bayesian_filter::Unscented_scheme</a><li>update_yY()
: <a class="el" href="classBayesian__filter_1_1Information__root__info__scheme.html#a2">Bayesian_filter::Information_root_info_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#a5">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__state__filter.html#a3">Bayesian_filter::Information_state_filter</a></ul>
<h3><a name="index_w">- w -</a>
</h3><ul>
<li>what()
: <a class="el" href="classBayesian__filter_1_1Filter__exception.html#a0">Bayesian_filter::Filter_exception</a></ul>
<h3><a name="index_~">- ~ -</a>
</h3><ul>
<li>~Bayes_base()
: <a class="el" href="classBayesian__filter_1_1Bayes__base.html#a0">Bayesian_filter::Bayes_base</a><li>~Sample_state_filter()
: <a class="el" href="classBayesian__filter_1_1Sample__state__filter.html#a1">Bayesian_filter::Sample_state_filter</a></ul>
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