The following Matlab project contains the source code and Matlab examples used for a bayesian adaptive basis algorithm for single particle reconstruction.
Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

## Project Files:

File Name | Size |
---|---|

3QD7reconstruction.mat | 2914650 |

adaptiveBasisReconstructionExample.m | 1749 |

exampleInputs3QD7simulated.mat | 5102052 |

README.txt | 627 |

get_stat_grad_with_ctf.m | 1147 |

get_wavelet_grad_with_ctf.m | 1143 |

iswt3.m | 3519 |

mex_back_project.c | 3815 |

mex_forward_project.c | 3676 |

prox_regularizer.m | 448 |

reconstruct_by_nesterov_w_ctf.m | 4930 |

swt16dec3.m | 2575 |

swt16rec3.m | 4765 |

swt3.m | 6053 |

license.txt | 1314 |