functions.html

Bayes滤波器算法C++类说明文档,源码见Bayes滤波器算法

: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1noalias__proxy.html#a0">Bayesian_filter_matrix::detail::noalias_proxy&lt; C &gt;</a><li>normal()
: <a class="el" href="structBayesian__filter_1_1SIR__random.html#a0">Bayesian_filter::SIR_random</a><li>normalise()
: <a class="el" href="classBayesian__filter_1_1Adapted__Linrz__correlated__observe__model.html#a2">Bayesian_filter::Adapted_Linrz_correlated_observe_model</a>, <a class="el" href="classBayesian__filter_1_1Adapted__Correlated__addative__observe__model.html#a2">Bayesian_filter::Adapted_Correlated_addative_observe_model</a>, <a class="el" href="classBayesian__filter_1_1Parametised__observe__model.html#a2">Bayesian_filter::Parametised_observe_model</a><li>Numeric_exception()
: <a class="el" href="classBayesian__filter_1_1Numeric__exception.html#a0">Bayesian_filter::Numeric_exception</a><li>Numerical_rcond()
: <a class="el" href="classBayesian__filter_1_1Numerical__rcond.html#a0">Bayesian_filter::Numerical_rcond</a></ul>
<h3><a name="index_o">- o -</a>
</h3><ul>
<li>observe()
: <a class="el" href="classBayesian__filter_1_1Indirect__kalman__filter.html#a3">Bayesian_filter::Indirect_kalman_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Indirect__state__filter.html#a2">Bayesian_filter::Indirect_state_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Average1__filter.html#a2">Bayesian_filter::Average1_filter&lt; Filter_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a13">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#a8">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a7">Bayesian_filter::SIR_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#a8">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Sample__filter.html#a3">Bayesian_filter::Sample_filter</a>, <a class="el" href="classBayesian__filter_1_1Extended__kalman__filter.html#a1">Bayesian_filter::Extended_kalman_filter</a>, <a class="el" href="classBayesian__filter_1_1Linrz__filter.html#a2">Bayesian_filter::Linrz_filter</a>, <a class="el" href="classBayesian__filter_1_1Likelihood__filter.html#a0">Bayesian_filter::Likelihood_filter</a><li>observe_error()
: <a class="el" href="classBayesian__filter_1_1Indirect__kalman__filter.html#a4">Bayesian_filter::Indirect_kalman_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Indirect__state__filter.html#a3">Bayesian_filter::Indirect_state_filter&lt; Error_base &gt;</a><li>observe_innovation()
: <a class="el" href="classBayesian__filter_1_1Information__root__scheme.html#a8">Bayesian_filter::Information_root_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#a10">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a7">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#a6">Bayesian_filter::CI_scheme</a>, <a class="el" href="classBayesian__filter_1_1Extended__kalman__filter.html#a3">Bayesian_filter::Extended_kalman_filter</a><li>observe_Kappa()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#b1">Bayesian_filter::Unscented_scheme</a><li>observe_likelihood()
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a8">Bayesian_filter::SIR_scheme</a>, <a class="el" href="classBayesian__filter_1_1Sample__filter.html#a4">Bayesian_filter::Sample_filter</a><li>observe_size()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#b2">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#b2">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#b0">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#b0">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#b0">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#b0">Bayesian_filter::CI_scheme</a><li>observeUD()
: <a class="el" href="classBayesian__filter_1_1UD__scheme.html#b1">Bayesian_filter::UD_scheme</a><li>Omega()
: <a class="el" href="classBayesian__filter_1_1CI__scheme.html#a7">Bayesian_filter::CI_scheme</a><li>operator Float()
: <a class="el" href="classBayesian__filter_1_1Average1__filter.html#a3">Bayesian_filter::Average1_filter&lt; Filter_base &gt;</a><li>operator()()
: <a class="el" href="classBayesian__filter_1_1Functional__observe__model.html#a1">Bayesian_filter::Functional_observe_model</a>, <a class="el" href="classBayesian__filter_1_1Functional__predict__model.html#a1">Bayesian_filter::Functional_predict_model</a><li>operator+=()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1noalias__proxy.html#a2">Bayesian_filter_matrix::detail::noalias_proxy&lt; C &gt;</a><li>operator-=()
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1noalias__proxy.html#a3">Bayesian_filter_matrix::detail::noalias_proxy&lt; C &gt;</a><li>operator=()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a1">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#a1">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1SymMatrixWrapper.html#a4">Bayesian_filter_matrix::detail::SymMatrixWrapper&lt; MatrixBase &gt;</a>, <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMMatrix.html#a5">Bayesian_filter_matrix::detail::FMMatrix&lt; MatrixBase &gt;</a>, <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMVec.html#a6">Bayesian_filter_matrix::detail::FMVec&lt; VecBase &gt;</a>, <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1noalias__proxy.html#a1">Bayesian_filter_matrix::detail::noalias_proxy&lt; C &gt;</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a1">Bayesian_filter::SIR_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#a1">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#a1">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a1">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#a1">Bayesian_filter::CI_scheme</a></ul>
<h3><a name="index_p">- p -</a>
</h3><ul>
<li>Parametised_observe_model()
: <a class="el" href="classBayesian__filter_1_1Parametised__observe__model.html#a0">Bayesian_filter::Parametised_observe_model</a><li>predict()
: <a class="el" href="classBayesian__filter_1_1Indirect__kalman__filter.html#a2">Bayesian_filter::Indirect_kalman_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Indirect__state__filter.html#a1">Bayesian_filter::Indirect_state_filter&lt; Error_base &gt;</a>, <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#a9">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#a4">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#a6">Bayesian_filter::SIR_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#a4">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__root__scheme.html#a6">Bayesian_filter::Information_root_scheme</a>, <a class="el" href="classBayesian__filter_1_1Information__scheme.html#a8">Bayesian_filter::Information_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#a5">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#a4">Bayesian_filter::CI_scheme</a>, <a class="el" href="classBayesian__filter_1_1Sample__filter.html#a2">Bayesian_filter::Sample_filter</a>, <a class="el" href="classBayesian__filter_1_1Linrz__filter.html#a0">Bayesian_filter::Linrz_filter</a>, <a class="el" href="classBayesian__filter_1_1Functional__filter.html#a0">Bayesian_filter::Functional_filter</a><li>predict_Kappa()
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#b0">Bayesian_filter::Unscented_scheme</a><li>predictGq()
: <a class="el" href="classBayesian__filter_1_1UD__scheme.html#b0">Bayesian_filter::UD_scheme</a></ul>
<h3><a name="index_q">- q -</a>
</h3><ul>
<li>q
: <a class="el" href="classBayesian__filter_1_1Addative__predict__model.html#o0">Bayesian_filter::Addative_predict_model</a>, <a class="el" href="classBayesian__filter_1_1Gaussian__predict__model.html#o0">Bayesian_filter::Gaussian_predict_model</a><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>r
: <a class="el" href="classBayesian__filter_1_1Information__root__scheme.html#o0">Bayesian_filter::Information_root_scheme</a><li>R
: <a class="el" href="classBayesian__filter_1_1Information__root__scheme.html#o1">Bayesian_filter::Information_root_scheme</a><li>random
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#o2">Bayesian_filter::SIR_scheme</a><li>rclimit
: <a class="el" href="classBayesian__filter_1_1Kalman__state__filter.html#o1">Bayesian_filter::Kalman_state_filter</a>, <a class="el" href="classBayesian__filter_1_1Parametised__observe__model.html#o0">Bayesian_filter::Parametised_observe_model</a>, <a class="el" href="classBayesian__filter_1_1Addative__predict__model.html#o2">Bayesian_filter::Addative_predict_model</a>, <a class="el" href="classBayesian__filter_1_1Gaussian__predict__model.html#o2">Bayesian_filter::Gaussian_predict_model</a><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>resamples
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#p0">Bayesian_filter::SIR_scheme</a><li>Resamples_t
: <a class="el" href="classBayesian__filter_1_1Importance__resampler.html#w0">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>roughen_model
: <a class="el" href="classBayesian__filter_1_1SIR__kalman__scheme.html#p0">Bayesian_filter::SIR_kalman_scheme</a><li>rougheningK
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#o1">Bayesian_filter::SIR_scheme</a><li>Row
: <a class="el" href="classBayesian__filter__matrix_1_1detail_1_1FMMatrix.html#w1">Bayesian_filter_matrix::detail::FMMatrix&lt; MatrixBase &gt;</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>s
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#o2">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1UD__scheme.html#o1">Bayesian_filter::UD_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#p2">Bayesian_filter::Iterated_covariance_scheme</a><li>S
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#o3">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#o0">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#o0">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#o0">Bayesian_filter::CI_scheme</a>, <a class="el" href="classBayesian__filter_1_1Sample__state__filter.html#o0">Bayesian_filter::Sample_state_filter</a><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>Sd
: <a class="el" href="classBayesian__filter_1_1UD__scheme.html#o2">Bayesian_filter::UD_scheme</a><li>set_limit_PD()
: <a class="el" href="classBayesian__filter_1_1Numerical__rcond.html#a1">Bayesian_filter::Numerical_rcond</a><li>SI
: <a class="el" href="classBayesian__filter_1_1Unscented__scheme.html#o4">Bayesian_filter::Unscented_scheme</a>, <a class="el" href="classBayesian__filter_1_1Iterated__covariance__scheme.html#o1">Bayesian_filter::Iterated_covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1Covariance__scheme.html#o1">Bayesian_filter::Covariance_scheme</a>, <a class="el" href="classBayesian__filter_1_1CI__scheme.html#o1">Bayesian_filter::CI_scheme</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>stochastic_samples
: <a class="el" href="classBayesian__filter_1_1SIR__scheme.html#o0">Bayesian_filter::SIR_scheme</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()