ConvSimulation: Convolutional Simulation.
In DaniWi/Channelcoding: channelcoding

Description Usage Arguments Value Author(s) Examples

Simulation of a convolutional encode and decode process over a noisy channel at several signal-noise-ratios (SNR).

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ConvSimulation(conv.coder = NULL, msg.length = 100, min.db = 0.1,
  max.db = 2, db.interval = 0.1, iterations.per.db = 100,
  punctuation.matrix = NULL, visualize = FALSE)

`conv.coder`	Convolutional coder used for the simulation. Can be created via `ConvGenerateEncoder` or `ConvGenerateRscEncoder`.
`msg.length`	Message length of the randomly created messages to be encoded.
`min.db`	Minimum SNR to be tested.
`max.db`	Maximum SNR to be tested.
`db.interval`	Step between two SNRs tested.
`iterations.per.db`	Number of encode and decode processes per SNR.
`punctuation.matrix`	If not null the process involves the punctuation. Can be created via `ConvGetPunctuationMatrix`.
`visualize`	If true a PDF report is generated.

Dataframe containing the bit-error-rates for each SNR tested.

Martin Nocker

# use all default parameters
ConvSimulation()

# without punctuation
coder <- ConvGenerateEncoder(2,2,c(7,5))
ConvSimulation(coder, 10, 0.01, 1, 0.05, 50, NULL, FALSE)