Misc

complex_normal(size, *[, precision, device, ...])	Generate complex normal random tensor with unit variance, compile-aware.
db_to_lin(x[, precision, device])	Converts the input [dB] to linear scale.
dbm_to_watt(x_dbm[, precision, device])	Converts the input [dBm] to Watt.
DeepUpdateDict	Dictionary class inheriting from dict enabling nested merging of the dictionary with a new one.
dict_keys_to_int(x)	Converts the string keys of an input dictionary to integers whenever possible.
ebnodb2no(ebno_db, num_bits_per_symbol, coderate)	Computes the noise variance No for a given Eb/No in dB.
hard_decisions(llr)	Transforms LLRs into hard decisions.
Interpolate()	Abstract class template for interpolating data defined on unstructured or rectangular grids.
lin_to_db(x[, precision, device])	Converts the input in linear scale to dB scale.
MCSDecoder(*args[, precision, device])	Class template for mapping a Modulation and Coding Scheme (MCS) index to the corresponding modulation order, i.e., number of bits per symbol, and coderate.
sample_bernoulli(shape, p[, precision, device])	Generates samples from a Bernoulli distribution with probability p.
scalar_to_shaped_tensor(inp, dtype, shape[, ...])	Converts a scalar input to a tensor of specified shape, or validates and casts an existing input tensor.
sim_ber(mc_fun, ebno_dbs, batch_size, ...[, ...])	Simulates until target number of errors is reached and returns BER/BLER.
SingleLinkChannel(num_bits_per_symbol, ...)	Class template for simulating single-link, i.e., single-carrier and single-stream, channels.
SplineGriddataInterpolation()	Interpolates data defined on rectangular or unstructured grids via Scipy's interpolate.RectBivariateSpline and interpolate.griddata, respectively.
to_list(x)	Converts the input to a list.
TransportBlock(*args[, precision, device])	Class template for computing the number and size (measured in number of bits) of code blocks within a transport block, given the modulation order, coderate and the total number of coded bits of a transport block.
watt_to_dbm(x_w[, precision, device])	Converts the input [Watt] to dBm.