Revision 32, 0.7 kB
(checked in by smidl, 17 years ago)
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test KF : estimation of R in KF is not possible! Likelihood of y_t is growing when R -> 0
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1 | #include <itpp/itbase.h> |
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2 | #include <estim/libPF.h> |
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3 | #include <math/libDC.h> |
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4 | #include <stat/libEF.h> |
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5 | |
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6 | using namespace itpp; |
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7 | |
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8 | //These lines are needed for use of cout and endl |
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9 | using std::cout; |
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10 | using std::endl; |
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11 | |
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12 | int main() { |
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13 | |
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14 | RV x("1"); |
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15 | RV xm=x; xm.t(-1);const |
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16 | RV y("2"); |
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17 | |
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18 | mat A = "1"; |
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19 | vec vR = "1"; |
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20 | ldmat R(vR); |
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21 | |
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22 | eEmp emp(x,10); |
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23 | euni eun(x); |
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24 | eun.set_parameters("0","1"); |
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25 | emp.set_parameters(ones(10),&eun); |
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26 | vec &v=emp._w(); |
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27 | Array<vec> &S=emp._samples(); |
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28 | |
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29 | for (int i=0;i<10;i++){ v(i) = exp(-0.5*sum(pow(S(i)-1,2.0))*10);} |
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30 | v/=sum(v); |
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31 | |
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32 | cout << "p:" << S << endl; |
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33 | cout << "w:" << v << endl; |
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34 | |
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35 | ivec ind = emp.resample(); |
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36 | |
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37 | cout << ind << endl; |
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38 | |
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39 | //Exit program: |
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40 | return 0; |
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41 | |
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42 | } |
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