FraNC
Concepts and wording
Evaluating techniques on a dataset
Filtering techniques
Adding filtering techniques
Adding evaluation metrics
API Reference
FraNC
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
_
__hash__() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.EvaluationDataset method)
_check_method_configurations() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
_create_folder_structure() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
_escape_latex_chars() (in module franc.evaluation.report_generation)
_file_hash() (franc.evaluation.EvaluationMetric class method)
(franc.evaluation.metrics.EvaluationMetric class method)
_format_float() (franc.evaluation.EvaluationMetricScalar static method)
(franc.evaluation.metrics.EvaluationMetricScalar static method)
_generate_entry() (franc.evaluation.report_generation.HTMLReport static method)
(franc.evaluation.report_generation.LatexReport static method)
_hash_wts_data() (franc.evaluation.dataset.EvaluationDataset static method)
(franc.evaluation.EvaluationDataset static method)
_lms_loop() (in module franc.filtering.lms)
(in module franc.filtering.polylms)
_plot_channel() (franc.evaluation.metrics.PSDMetric method)
(franc.evaluation.PSDMetric method)
_prepare_dataset() (franc.evaluation.dataset.EvaluationDataset static method)
(franc.evaluation.EvaluationDataset static method)
_welch_multiple_sequences() (franc.evaluation.metrics.PSDMetric method)
(franc.evaluation.PSDMetric method)
A
all_configurations_list (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
applied (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
apply() (franc.evaluation.EvaluationMetric method)
(franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
(franc.evaluation.metrics.EvaluationMetric method)
(franc.evaluation.metrics.MSEMetric method)
(franc.evaluation.MSEMetric method)
(franc.external.spicypy_wf.SpicypyWienerFilter method)
(franc.filtering.lms.LMSFilter method)
(franc.filtering.LMSFilter method)
(franc.filtering.polylms.PolynomialLMSFilter method)
(franc.filtering.PolynomialLMSFilter method)
(franc.filtering.UpdatingWienerFilter method)
(franc.filtering.uwf.UpdatingWienerFilter method)
apply_multi_sequence() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
(franc.external.spicypy_wf.SpicypyWienerFilter method)
(franc.filtering.bypass.BypassFilter method)
(franc.filtering.lms.LMSFilter method)
(franc.filtering.LMSFilter method)
(franc.filtering.polylms.PolynomialLMSFilter method)
(franc.filtering.PolynomialLMSFilter method)
(franc.filtering.UpdatingWienerFilter method)
(franc.filtering.uwf.UpdatingWienerFilter method)
(franc.filtering.wf.WienerFilter method)
(franc.filtering.WienerFilter method)
as_dict() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
asd (franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
ASDMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
autoscale (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.PSDMetric attribute)
B
BandwidthPowerMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
base_path (franc.evaluation.report_generation.ReportFigure attribute)
block_end (franc.evaluation.report_generation.HTMLReport attribute)
(franc.evaluation.report_generation.LatexReport attribute)
block_start (franc.evaluation.report_generation.HTMLReport attribute)
(franc.evaluation.report_generation.LatexReport attribute)
BypassFilter (class in franc.filtering.bypass)
bytes2int() (in module franc.common)
(in module franc.common.common)
bytes2str() (in module franc.common)
(in module franc.common.common)
C
caption (franc.evaluation.report_generation.ReportFigure attribute)
(franc.evaluation.report_generation.ReportTable attribute)
channel_count (franc.evaluation.dataset.EvaluationDataset property)
(franc.evaluation.EvaluationDataset property)
check_data_dimensions() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
check_data_dimensions_multi_sequence() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
coefficient_clipping (franc.filtering.lms.LMSFilter attribute)
(franc.filtering.LMSFilter attribute)
(franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
compile() (franc.evaluation.report_generation.LatexReport method)
(franc.evaluation.report_generation.Report method)
condition() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
(franc.external.spicypy_wf.SpicypyWienerFilter method)
(franc.filtering.lms.LMSFilter method)
(franc.filtering.LMSFilter method)
(franc.filtering.polylms.PolynomialLMSFilter method)
(franc.filtering.PolynomialLMSFilter method)
condition_multi_sequence() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
(franc.external.spicypy_wf.SpicypyWienerFilter method)
(franc.filtering.bypass.BypassFilter method)
(franc.filtering.lms.LMSFilter method)
(franc.filtering.LMSFilter method)
(franc.filtering.polylms.PolynomialLMSFilter method)
(franc.filtering.PolynomialLMSFilter method)
(franc.filtering.UpdatingWienerFilter method)
(franc.filtering.uwf.UpdatingWienerFilter method)
(franc.filtering.wf.WienerFilter method)
(franc.filtering.WienerFilter method)
conditioned (franc.external.spicypy_wf.SpicypyWienerFilter attribute)
content (franc.evaluation.report_generation.ReportCodeListing attribute)
context_post (franc.filtering.UpdatingWienerFilter attribute)
(franc.filtering.uwf.UpdatingWienerFilter attribute)
context_pre (franc.filtering.UpdatingWienerFilter attribute)
(franc.filtering.uwf.UpdatingWienerFilter attribute)
D
dataset (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.EvaluationRun attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
dataset() (franc.evaluation.signal_generation.TestDataGenerator method)
(franc.evaluation.TestDataGenerator method)
default_anisotropy (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_args (franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
(franc.filtering.common.FilterBase attribute)
(franc.filtering.FilterBase attribute)
default_Awavemax (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_Awavemin (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_c_p (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_c_ratio (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_cavity_r (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_depth (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_dt (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_dx (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_fmax (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_fmin (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_fmono (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_folder (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_freq (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_ID (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_isMonochromatic (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_L (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_M (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_mirror_count (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_NoE (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_NoR (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_NoS (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_NoT (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_NoW (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_Nt (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_Nx (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_p (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_randomlyPlaced (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_randomSeed (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_rho (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_saveas (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_sigmafmax (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_sigmafmin (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_SNR (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_source_count (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_state (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_tag (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_time_window_multiplier (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_tmax (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_twindow (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_useGPU (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
default_xmax (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
deleteEventSet() (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator method)
description() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.EvaluationDataset method)
dictionary (franc.evaluation.newtonian_noise_simulation.ReadData attribute)
directory (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
do_asd (franc.evaluation.ASDMetric attribute)
(franc.evaluation.metrics.ASDMetric attribute)
(franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.PSDMetric attribute)
E
eval (in module franc)
EvaluationDataset (class in franc.evaluation)
(class in franc.evaluation.dataset)
EvaluationMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
EvaluationMetricPlottable (class in franc.evaluation)
(class in franc.evaluation.metrics)
EvaluationMetricScalar (class in franc.evaluation)
(class in franc.evaluation.metrics)
EvaluationRun (class in franc.evaluation)
(class in franc.evaluation.evaluation)
F
f_start (franc.evaluation.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.BandwidthPowerMetric attribute)
f_stop (franc.evaluation.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.BandwidthPowerMetric attribute)
figsize (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
file_ending (franc.evaluation.report_generation.HTMLReport property)
(franc.evaluation.report_generation.LatexReport property)
(franc.evaluation.report_generation.Report property)
file_hash() (franc.evaluation.filter_interface.FilterInterface class method)
(franc.evaluation.FilterInterface class method)
filename() (franc.evaluation.EvaluationMetricPlottable method)
(franc.evaluation.metrics.EvaluationMetricPlottable method)
fileType (franc.evaluation.newtonian_noise_simulation.ReadData attribute)
filt (in module franc)
filter_name (franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
(franc.external.spicypy_wf.SpicypyWienerFilter attribute)
(franc.filtering.bypass.BypassFilter attribute)
(franc.filtering.lms.LMSFilter attribute)
(franc.filtering.LMSFilter attribute)
(franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
(franc.filtering.UpdatingWienerFilter attribute)
(franc.filtering.uwf.UpdatingWienerFilter attribute)
(franc.filtering.wf.WienerFilter attribute)
(franc.filtering.WienerFilter attribute)
filter_state (franc.external.spicypy_wf.SpicypyWienerFilter attribute)
(franc.filtering.lms.LMSFilter attribute)
(franc.filtering.LMSFilter attribute)
(franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
(franc.filtering.UpdatingWienerFilter attribute)
(franc.filtering.uwf.UpdatingWienerFilter attribute)
(franc.filtering.wf.WienerFilter attribute)
(franc.filtering.WienerFilter attribute)
FilterBase (class in franc.filtering)
(class in franc.filtering.common)
FilterInterface (class in franc.evaluation)
(class in franc.evaluation.filter_interface)
FilterTypeT (in module franc.evaluation.filter_interface)
folder (franc.evaluation.newtonian_noise_simulation.ReadData attribute)
format (franc.evaluation.report_generation.ReportTable attribute)
four_mirror_corner_direction (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
four_mirror_corner_position (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
franc
module
franc.common
module
franc.common.common
module
franc.evaluation
module
franc.evaluation.common
module
franc.evaluation.dataset
module
franc.evaluation.evaluation
module
franc.evaluation.filter_interface
module
franc.evaluation.metrics
module
franc.evaluation.newtonian_noise_simulation
module
franc.evaluation.report_generation
module
franc.evaluation.signal_generation
module
franc.external
module
franc.external.spicypy_wf
module
franc.filtering
module
franc.filtering.bypass
module
franc.filtering.common
module
franc.filtering.lms
module
franc.filtering.polylms
module
franc.filtering.uwf
module
franc.filtering.wf
module
from_dict() (franc.evaluation.filter_interface.FilterInterface class method)
(franc.evaluation.FilterInterface class method)
G
G (in module franc.evaluation.newtonian_noise_simulation)
generate() (franc.evaluation.report_generation.HTMLReport method)
(franc.evaluation.report_generation.LatexReport method)
(franc.evaluation.report_generation.Report method)
(franc.evaluation.signal_generation.TestDataGenerator method)
(franc.evaluation.TestDataGenerator method)
generate_multiple() (franc.evaluation.signal_generation.TestDataGenerator method)
(franc.evaluation.TestDataGenerator method)
generate_overview_plots() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
generate_parameter_scan_plots() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
generate_report() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
generate_wave_packet() (in module franc.evaluation.signal_generation)
generate_wave_packet_signal() (in module franc.evaluation.signal_generation)
generateDataset() (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator method)
generateEventSet() (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator method)
get_all_configurations() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
get_min_sequence_len() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.EvaluationDataset method)
get_platform_info() (in module franc.common)
(in module franc.common.common)
get_prediction() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
H
handle_from_dict() (in module franc.evaluation)
(in module franc.evaluation.filter_interface)
(in module franc.filtering.common)
has_signal (franc.evaluation.dataset.EvaluationDataset property)
(franc.evaluation.EvaluationDataset property)
hash_bytes() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.EvaluationDataset method)
hash_function() (in module franc.common)
(in module franc.common.common)
hash_function_int() (in module franc.common)
(in module franc.common.common)
hash_function_str() (in module franc.common)
(in module franc.common.common)
hash_object_list() (in module franc.common)
(in module franc.common.common)
hash_object_list_int() (in module franc.common)
(in module franc.common.common)
hash_str() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationDataset method)
(franc.evaluation.EvaluationRun method)
html() (franc.evaluation.report_generation.ReportCodeListing method)
(franc.evaluation.report_generation.ReportElement method)
(franc.evaluation.report_generation.ReportFigure method)
(franc.evaluation.report_generation.ReportTable method)
(franc.evaluation.ReportElement method)
html_escape() (in module franc.evaluation.report_generation)
HTMLReport (class in franc.evaluation.report_generation)
I
idx_target (franc.filtering.common.FilterBase attribute)
(franc.filtering.FilterBase attribute)
image_path (franc.evaluation.report_generation.ReportFigure attribute)
init_wrapper() (franc.evaluation.EvaluationMetric static method)
(franc.evaluation.metrics.EvaluationMetric static method)
L
latex() (franc.evaluation.report_generation.ReportCodeListing method)
(franc.evaluation.report_generation.ReportElement method)
(franc.evaluation.report_generation.ReportFigure method)
(franc.evaluation.report_generation.ReportTable method)
(franc.evaluation.ReportElement method)
LatexReport (class in franc.evaluation.report_generation)
LMSFilter (class in franc.filtering)
(class in franc.filtering.lms)
load() (franc.evaluation.filter_interface.FilterInterface class method)
(franc.evaluation.FilterInterface class method)
load_np_array_list() (franc.evaluation.evaluation.EvaluationRun static method)
(franc.evaluation.EvaluationRun static method)
loadFromSettingFile() (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator method)
logx (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.PSDMetric attribute)
logy (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.PSDMetric attribute)
M
make_2d_array() (in module franc.evaluation)
(in module franc.evaluation.filter_interface)
(in module franc.filtering.common)
make_filename() (franc.evaluation.filter_interface.FilterInterface class method)
(franc.evaluation.FilterInterface class method)
make_spicypy_time_series() (franc.external.spicypy_wf.SpicypyWienerFilter static method)
mean_cross_correlation_offset() (in module franc.filtering.wf)
measure_runtime() (in module franc.evaluation)
(in module franc.evaluation.evaluation)
method_configurations (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
method_filename_part (franc.evaluation.filter_interface.FilterInterface property)
(franc.evaluation.FilterInterface property)
(franc.filtering.common.FilterBase property)
(franc.filtering.FilterBase property)
method_hash (franc.evaluation.EvaluationMetric property)
(franc.evaluation.filter_interface.FilterInterface property)
(franc.evaluation.FilterInterface property)
(franc.evaluation.metrics.EvaluationMetric property)
method_hash_str (franc.evaluation.EvaluationMetric property)
(franc.evaluation.metrics.EvaluationMetric property)
method_hash_value (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
metrics (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
module
franc
franc.common
franc.common.common
franc.evaluation
franc.evaluation.common
franc.evaluation.dataset
franc.evaluation.evaluation
franc.evaluation.filter_interface
franc.evaluation.metrics
franc.evaluation.newtonian_noise_simulation
franc.evaluation.report_generation
franc.evaluation.signal_generation
franc.external
franc.external.spicypy_wf
franc.filtering
franc.filtering.bypass
franc.filtering.common
franc.filtering.lms
franc.filtering.polylms
franc.filtering.uwf
franc.filtering.wf
MSEMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
multi_sequence_support (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
N
n_channel (franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
n_fft (franc.evaluation.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
n_filter (franc.filtering.common.FilterBase attribute)
(franc.filtering.FilterBase attribute)
name (franc.evaluation.ASDMetric attribute)
(franc.evaluation.BandwidthPowerMetric attribute)
(franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationDataset attribute)
(franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.EvaluationRun attribute)
(franc.evaluation.metrics.ASDMetric attribute)
(franc.evaluation.metrics.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
(franc.evaluation.metrics.MSEMetric attribute)
(franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.RMetric attribute)
(franc.evaluation.metrics.RMSMetric attribute)
(franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.metrics.SqrtRMetric attribute)
(franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.MSEMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.RMetric attribute)
(franc.evaluation.RMSMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
(franc.evaluation.SqrtRMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
NDArrayF (in module franc.evaluation.dataset)
(in module franc.evaluation.evaluation)
(in module franc.evaluation.signal_generation)
NDArrayU (in module franc.evaluation.evaluation)
(in module franc.evaluation.signal_generation)
NewtonianNoiseDataGenerator (class in franc.evaluation.newtonian_noise_simulation)
NoneType (in module franc.common.common)
normalized (franc.filtering.lms.LMSFilter attribute)
(franc.filtering.LMSFilter attribute)
(franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
O
optimization_metric (franc.evaluation.evaluation.EvaluationRun attribute)
(franc.evaluation.EvaluationRun attribute)
order (franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
P
parameters (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
pi (in module franc.evaluation.newtonian_noise_simulation)
platform_info_report() (franc.evaluation.evaluation.EvaluationRun static method)
(franc.evaluation.EvaluationRun static method)
plot() (franc.evaluation.EvaluationMetricPlottable method)
(franc.evaluation.metrics.EvaluationMetricPlottable method)
(franc.evaluation.metrics.PSDMetric method)
(franc.evaluation.metrics.SpectrogramMetric method)
(franc.evaluation.metrics.TimeSeriesMetric method)
(franc.evaluation.PSDMetric method)
(franc.evaluation.SpectrogramMetric method)
(franc.evaluation.TimeSeriesMetric method)
plot_path (franc.evaluation.EvaluationMetricPlottable attribute)
(franc.evaluation.metrics.EvaluationMetricPlottable attribute)
PolynomialLMSFilter (class in franc.filtering)
(class in franc.filtering.polylms)
prediction (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
PSDMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
R
ReadData (class in franc.evaluation.newtonian_noise_simulation)
Report (class in franc.evaluation.report_generation)
ReportCodeListing (class in franc.evaluation.report_generation)
ReportElement (class in franc.evaluation)
(class in franc.evaluation.report_generation)
ReportFigure (class in franc.evaluation.report_generation)
ReportTable (class in franc.evaluation.report_generation)
requires_apply_target (franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
(franc.filtering.bypass.BypassFilter attribute)
(franc.filtering.wf.WienerFilter attribute)
(franc.filtering.WienerFilter attribute)
reset() (franc.filtering.lms.LMSFilter method)
(franc.filtering.LMSFilter method)
(franc.filtering.polylms.PolynomialLMSFilter method)
(franc.filtering.PolynomialLMSFilter method)
residual (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
residual_amplitude_ratio() (in module franc.evaluation)
(in module franc.evaluation.evaluation)
residual_power_ratio() (in module franc.evaluation)
(in module franc.evaluation.evaluation)
residual_signal (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
residual_with_signal (franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
result (franc.evaluation.EvaluationMetric property)
(franc.evaluation.EvaluationMetricScalar property)
(franc.evaluation.metrics.EvaluationMetric property)
(franc.evaluation.metrics.EvaluationMetricScalar property)
result_full() (franc.evaluation.BandwidthPowerMetric method)
(franc.evaluation.EvaluationMetric method)
(franc.evaluation.metrics.BandwidthPowerMetric method)
(franc.evaluation.metrics.EvaluationMetric method)
(franc.evaluation.metrics.MSEMetric method)
(franc.evaluation.metrics.PSDMetric method)
(franc.evaluation.metrics.RMetric method)
(franc.evaluation.metrics.RMSMetric method)
(franc.evaluation.metrics.SpectrogramMetric method)
(franc.evaluation.metrics.SqrtRMetric method)
(franc.evaluation.metrics.TimeSeriesMetric method)
(franc.evaluation.MSEMetric method)
(franc.evaluation.PSDMetric method)
(franc.evaluation.RMetric method)
(franc.evaluation.RMSMetric method)
(franc.evaluation.SpectrogramMetric method)
(franc.evaluation.SqrtRMetric method)
(franc.evaluation.TimeSeriesMetric method)
result_full_wrapper() (franc.evaluation.EvaluationMetric static method)
(franc.evaluation.metrics.EvaluationMetric static method)
result_to_text() (franc.evaluation.EvaluationMetric class method)
(franc.evaluation.EvaluationMetricPlottable class method)
(franc.evaluation.EvaluationMetricScalar class method)
(franc.evaluation.metrics.EvaluationMetric class method)
(franc.evaluation.metrics.EvaluationMetricPlottable class method)
(franc.evaluation.metrics.EvaluationMetricScalar class method)
(franc.evaluation.metrics.MSEMetric class method)
(franc.evaluation.metrics.RMSMetric class method)
(franc.evaluation.metrics.SpectrogramMetric class method)
(franc.evaluation.MSEMetric class method)
(franc.evaluation.RMSMetric class method)
(franc.evaluation.SpectrogramMetric class method)
RMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
rms() (in module franc.evaluation)
(in module franc.evaluation.common)
RMSMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
rng (franc.evaluation.signal_generation.TestDataGenerator attribute)
(franc.evaluation.TestDataGenerator attribute)
run() (franc.evaluation.evaluation.EvaluationRun method)
(franc.evaluation.EvaluationRun method)
S
sample_rate (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
(franc.evaluation.signal_generation.TestDataGenerator attribute)
(franc.evaluation.TestDataGenerator attribute)
save() (franc.evaluation.filter_interface.FilterInterface method)
(franc.evaluation.FilterInterface method)
(franc.evaluation.report_generation.Report method)
save_np_array_list() (franc.evaluation.evaluation.EvaluationRun static method)
(franc.evaluation.EvaluationRun static method)
save_plot() (franc.evaluation.EvaluationMetricPlottable method)
(franc.evaluation.metrics.EvaluationMetricPlottable method)
scaled_whitenoise() (franc.evaluation.signal_generation.TestDataGenerator method)
(franc.evaluation.TestDataGenerator method)
sectioning_commands (franc.evaluation.report_generation.LatexReport attribute)
Self (in module franc.evaluation.metrics)
sequence_lengths() (franc.evaluation.dataset.EvaluationDataset method)
(franc.evaluation.EvaluationDataset method)
show_signal (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
show_target (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
show_target_minus_signal (franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
signal_conditioning (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
signal_evaluation (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
single_mirror_direction (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
single_mirror_position (franc.evaluation.newtonian_noise_simulation.NewtonianNoiseDataGenerator attribute)
software_version_report() (franc.evaluation.evaluation.EvaluationRun static method)
(franc.evaluation.EvaluationRun static method)
SpectrogramMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
SpicypyWienerFilter (class in franc.external.spicypy_wf)
SqrtRMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
start (franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
step_scale (franc.filtering.lms.LMSFilter attribute)
(franc.filtering.LMSFilter attribute)
(franc.filtering.polylms.PolynomialLMSFilter attribute)
(franc.filtering.PolynomialLMSFilter attribute)
stop (franc.evaluation.metrics.TimeSeriesMetric attribute)
(franc.evaluation.TimeSeriesMetric attribute)
supplementary_data (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
supports_multi_sequence (franc.evaluation.filter_interface.FilterInterface attribute)
(franc.evaluation.FilterInterface attribute)
(franc.external.spicypy_wf.SpicypyWienerFilter attribute)
supports_saving_loading() (franc.evaluation.filter_interface.FilterInterface static method)
(franc.evaluation.FilterInterface static method)
(franc.external.spicypy_wf.SpicypyWienerFilter static method)
(franc.filtering.UpdatingWienerFilter static method)
(franc.filtering.uwf.UpdatingWienerFilter static method)
T
table_content (franc.evaluation.report_generation.ReportTable attribute)
tag (franc.evaluation.newtonian_noise_simulation.ReadData attribute)
target_conditioning (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
target_evaluation (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
target_noise_level (franc.evaluation.signal_generation.TestDataGenerator attribute)
(franc.evaluation.TestDataGenerator attribute)
target_unit (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
TestDataGenerator (class in franc.evaluation)
(class in franc.evaluation.signal_generation)
text (franc.evaluation.EvaluationMetric property)
(franc.evaluation.metrics.EvaluationMetric property)
TimeSeriesMetric (class in franc.evaluation)
(class in franc.evaluation.metrics)
total_power() (in module franc.evaluation)
(in module franc.evaluation.common)
total_start_time (in module franc.evaluation.newtonian_noise_simulation)
transfer_function (franc.evaluation.signal_generation.TestDataGenerator attribute)
(franc.evaluation.TestDataGenerator attribute)
U
unit (franc.evaluation.EvaluationMetric attribute)
(franc.evaluation.EvaluationMetricScalar attribute)
(franc.evaluation.metrics.EvaluationMetric attribute)
(franc.evaluation.metrics.EvaluationMetricScalar attribute)
UpdatingWienerFilter (class in franc.filtering)
(class in franc.filtering.uwf)
V
verb_char (franc.evaluation.report_generation.ReportTable attribute)
W
welch_multiple_sequences() (in module franc.evaluation.metrics)
wf_apply() (in module franc.filtering.wf)
wf_calculate() (in module franc.filtering.wf)
width (franc.evaluation.report_generation.ReportFigure attribute)
WienerFilter (class in franc.filtering)
(class in franc.filtering.wf)
window (franc.evaluation.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.BandwidthPowerMetric attribute)
(franc.evaluation.metrics.PSDMetric attribute)
(franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.PSDMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
with_signal (franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
witness_conditioning (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
witness_evaluation (franc.evaluation.dataset.EvaluationDataset attribute)
(franc.evaluation.EvaluationDataset attribute)
witness_noise_level (franc.evaluation.signal_generation.TestDataGenerator attribute)
(franc.evaluation.TestDataGenerator attribute)
X
xlim (franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)
Y
ylim (franc.evaluation.metrics.SpectrogramMetric attribute)
(franc.evaluation.SpectrogramMetric attribute)