Utility Functions

BinarySource([precision, device])	Generates a random binary tensor.
LLRs2SymbolLogits(num_bits_per_symbol[, ...])	Computes logits (i.e., unnormalized log-probabilities) or hard decisions on constellation points from a tensor of log-likelihood ratios (LLRs) on bits.
pam(num_bits_per_symbol[, normalize, precision])	Generates a PAM constellation.
pam_gray(b)	Maps a vector of bits to a PAM constellation point with Gray labeling.
PAM2QAM(num_bits_per_symbol[, hard_in_out, ...])	Transforms PAM symbol indices/logits to QAM symbol indices/logits.
PAMSource([num_bits_per_symbol, ...])	Generates a tensor of random PAM symbols.
qam(num_bits_per_symbol[, normalize, precision])	Generates a QAM constellation.
QAM2PAM(num_bits_per_symbol[, precision, device])	Transforms QAM symbol indices to PAM symbol indices.
QAMSource([num_bits_per_symbol, ...])	Generates a tensor of random QAM symbols.
SymbolInds2Bits(num_bits_per_symbol[, ...])	Transforms symbol indices to their binary representations.
SymbolLogits2LLRs(method, num_bits_per_symbol, *)	Computes log-likelihood ratios (LLRs) or hard-decisions on bits from a tensor of logits (i.e., unnormalized log-probabilities) on constellation points.
SymbolLogits2Moments([constellation_type, ...])	Computes the mean and variance of a constellation from logits (unnormalized log-probabilities) on the constellation points.
SymbolSource([constellation_type, ...])	Generates a tensor of random constellation symbols.