Index

A

add() (rfml.data.dataset_builder.DatasetBuilder method) as_numpy() (rfml.data.dataset.Dataset method)

as_torch() (rfml.data.dataset.Dataset method) AWGN (class in rfml.ptradio.awgn)

B

build() (rfml.data.dataset_builder.DatasetBuilder method) build_dataset() (in module rfml.data.factory)

build_model() (in module rfml.nn.model.factory) build_trainer() (in module rfml.nn.train.factory)

C

CFO (class in rfml.ptradio.cfo) CLDNN (class in rfml.nn.model.cldnn) CNN (class in rfml.nn.model.cnn) columns() (rfml.data.dataset.Dataset property) compute_accuracy() (in module rfml.nn.eval.accuracy)

compute_accuracy_on_cross_sections() (in module rfml.nn.eval.accuracy) compute_confusion() (in module rfml.nn.eval.confusion) compute_topk_accuracy() (in module rfml.nn.eval.accuracy) ConstellationMapper (class in rfml.ptradio.constellation) ConstellationUnmapper (class in rfml.ptradio.constellation)

D

Dataset (class in rfml.data.dataset) DatasetBuilder (class in rfml.data.dataset_builder) decode() (rfml.data.encoder.Encoder method)

demodulate() (rfml.ptradio.modem.Receiver method) device() (rfml.nn.model.base.Model property) df() (rfml.data.dataset.Dataset property) Downsample (class in rfml.ptradio.downsample)

E

encode() (rfml.data.encoder.Encoder method) Encoder (class in rfml.data.encoder)

energy() (in module rfml.nn.F.energy) evm() (in module rfml.nn.F.evm)

F

Flatten (class in rfml.nn.layers.flatten) forward() (rfml.nn.layers.flatten.Flatten method) (rfml.nn.layers.power_normalization.PowerNormalization method) (rfml.nn.model.cldnn.CLDNN method) (rfml.nn.model.cnn.CNN method) (rfml.ptradio.awgn.AWGN method) (rfml.ptradio.cfo.CFO method) (rfml.ptradio.constellation.ConstellationMapper method) (rfml.ptradio.constellation.ConstellationUnmapper method) (rfml.ptradio.downsample.Downsample method) (rfml.ptradio.rrc.RRC method) (rfml.ptradio.slicer.Slicer method) (rfml.ptradio.upsample.Upsample method)

freeze() (rfml.nn.model.base.Model method)

G

get_bps() (rfml.ptradio.constellation.ConstellationMapper method) (rfml.ptradio.constellation.ConstellationUnmapper method)

get_examples_per_class() (rfml.data.dataset.Dataset method) get_M() (rfml.ptradio.constellation.ConstellationMapper method) (rfml.ptradio.constellation.ConstellationUnmapper method)

I

input_samples() (rfml.nn.model.base.Model property)

is_balanced() (rfml.data.dataset.Dataset method)

L

label_name() (rfml.data.encoder.Encoder property) labels() (rfml.data.encoder.Encoder property)

load() (rfml.nn.model.base.Model method) load_RML201610A_dataset() (in module rfml.data.converters.rml_2016) load_RML201610B_dataset() (in module rfml.data.converters.rml_2016)

M

Model (class in rfml.nn.model.base)

modulate() (rfml.ptradio.modem.Transmitter method)

N

n_classes() (rfml.nn.model.base.Model property)

n_parameters() (rfml.nn.model.base.Model property) n_trainable_parameters() (rfml.nn.model.base.Model property)

O

on_epoch_completed() (rfml.nn.train.printing_training_listener.PrintingTrainingListener method) (rfml.nn.train.training_listener.TrainingListener method) on_training_completed() (rfml.nn.train.printing_training_listener.PrintingTrainingListener method) (rfml.nn.train.training_listener.TrainingListener method)

on_validation_completed() (rfml.nn.train.printing_training_listener.PrintingTrainingListener method) (rfml.nn.train.training_listener.TrainingListener method) outputs() (rfml.nn.model.base.Model method)

P

plot_acc_vs_snr() (in module rfml.nbutils.plot) plot_acc_vs_spr() (in module rfml.nbutils.plot) plot_confusion() (in module rfml.nbutils.plot) plot_convergence() (in module rfml.nbutils.plot)

plot_IQ() (in module rfml.nbutils.plot) PowerNormalization (class in rfml.nn.layers.power_normalization) predict() (rfml.nn.model.base.Model method) PrintingTrainingListener (class in rfml.nn.train.printing_training_listener)

R

Receiver (class in rfml.ptradio.modem) rfml.data.converters.rml_2016 (module) rfml.data.dataset (module) rfml.data.dataset_builder (module) rfml.data.encoder (module) rfml.data.factory (module) rfml.nbutils.data (module) rfml.nbutils.plot (module) rfml.nn.eval.accuracy (module) rfml.nn.eval.confusion (module) rfml.nn.F.energy (module) rfml.nn.F.evm (module) rfml.nn.F.psd (module) rfml.nn.layers.flatten (module) rfml.nn.layers.power_normalization (module) rfml.nn.model.base (module)

rfml.nn.model.cldnn (module) rfml.nn.model.cnn (module) rfml.nn.model.factory (module) rfml.nn.train.base (module) rfml.nn.train.factory (module) rfml.nn.train.printing_training_listener (module) rfml.nn.train.standard (module) rfml.nn.train.training_listener (module) rfml.ptradio.awgn (module) rfml.ptradio.cfo (module) rfml.ptradio.constellation (module) rfml.ptradio.downsample (module) rfml.ptradio.modem (module) rfml.ptradio.rrc (module) rfml.ptradio.slicer (module) rfml.ptradio.upsample (module) RRC (class in rfml.ptradio.rrc)

S

save() (rfml.nn.model.base.Model method) set_cfo() (rfml.ptradio.cfo.CFO method) set_snr() (rfml.ptradio.awgn.AWGN method)

Slicer (class in rfml.ptradio.slicer) split() (rfml.data.dataset.Dataset method) StandardTrainingStrategy (class in rfml.nn.train.standard)

T

theoreticalBER() (in module rfml.ptradio.modem)

TrainingListener (class in rfml.nn.train.training_listener) Transmitter (class in rfml.ptradio.modem)

U

unfreeze() (rfml.nn.model.base.Model method)

Upsample (class in rfml.ptradio.upsample)