transmit_signal: Encode the signal, add noise, and decode the signal

In tom-christie/transmit: Transmitting information using Poisson processes and Bayesian inference

Encode the signal, add noise, and decode the signal

Description

Helper function to encapsulate function calls for a 'signal transmission' event

Usage

transmit_signal(codebook, symbol, signal_power, noise_power,
  duration_in_seconds, prior_distribution = c(), time_interval = 0.1,
  entropy_threshold = 0.1, return_posterior_at_stop_time = FALSE,
  return_posterior_trace = FALSE, leak_symbols = NA,
  leak_powers = NA)

Arguments

codebook	constructed using construct_codebook function
symbol	symbol to transmit. Must be defined in the codebook.
signal_power	spikes per second allocated to signal process
noise_power	spikes per second allocated to every process (including signal process)
duration_in_seconds	number of time (in seconds) to simulate for – limits max decoding time. Signals not decoded by this time will be interpreted as 'NA'
prior_distribution	initial guess at the distribution of messages. Influences decoding times.
time_interval	the interval at which to perform inference
entropy_threshold	transmission stops after entropy reaches this threshold
return_posterior_at_stop_time	returns posterior values at stop time
return_posterior_trace	return trace of posterior values for every time step
leak_symbols	array of symbols 'accidentally' allocated signal power
leak_powers	array of signal powers to allocated to leak_symbols

Value

returns which symbol is decided plus response time and which symbol was sent

tom-christie/transmit documentation built on July 19, 2023, 12:52 p.m.