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Classes | |
class | two-ray-to-three-gpp-ch-calibration.FtrParams |
FtrParams class. More... | |
Namespaces | |
namespace | two |
-ray-to-three-gpp-ch-calibration | |
namespace | two-ray-to-three-gpp-ch-calibration |
Functions | |
str | two-ray-to-three-gpp-ch-calibration.append_ftr_params_to_cpp_string (str text, FtrParams params) |
float | two-ray-to-three-gpp-ch-calibration.compute_anderson_darling_measure (list ref_ecdf, list target_ecdf) |
Computes the Anderson-Darling measure for the specified reference and targets distributions. | |
np.ndarray | two-ray-to-three-gpp-ch-calibration.compute_ecdf_value (list ecdf, float data_points) |
Given an ECDF and data points belonging to its domain, returns their associated EDCF value. | |
two-ray-to-three-gpp-ch-calibration.compute_ftr_mean (FtrParams params) | |
Computes the mean of the FTR fading model, given a specific set of parameters. | |
two-ray-to-three-gpp-ch-calibration.compute_ftr_th_mean (FtrParams params) | |
Computes the mean of the FTR fading model using the formula reported in the corresponding paper, given a specific set of parameters. | |
str | two-ray-to-three-gpp-ch-calibration.fit_ftr_to_reference (pd.DataFrame ref_data, tuple ref_params_combo, int num_params, int num_refinements) |
Estimate the FTR parameters yielding the closest ECDF to the reference one. | |
two-ray-to-three-gpp-ch-calibration.get_ftr_ecdf (FtrParams params, int n_samples, db=False) | |
Returns the ECDF for the FTR fading model, for a given parameter grid. | |
float | two-ray-to-three-gpp-ch-calibration.get_sigma_from_k (float k) |
Computes the value for the FTR parameter sigma, given k, yielding a unit-mean fading process. | |
two-ray-to-three-gpp-ch-calibration.print_cplusplus_map_from_fit_results (pd.DataFrame fit, str out_fname) | |
two-ray-to-three-gpp-ch-calibration.tqdm_joblib (tqdm_object) | |