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binfunest (version 0.1.0)

Estimates Parameters of Functions Driving Binomial Random Variables

Description

Provides maximum likelihood estimates of the performance parameters that drive a binomial distribution of observed errors, and takes full advantage of zero error observations. High performance communications systems typically have inherent noise sources and other performance limitations that need to be estimated. Measurements made at high signal to noise ratios typically result in zero errors due to limitation in available measurement time. Package includes theoretical performance functions for common modulation schemes (Proakis, "Digital Communications" (1995, )), polarization shifted QPSK (Agrell & Karlsson (2009, )), and utility functions to work with the performance functions.

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install.packages('binfunest')

Monthly Downloads

192

Version

0.1.0

License

MIT + file LICENSE

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Maintainer

Philip Shea

Last Published

September 9th, 2022

Functions in binfunest (0.1.0)

binfunest-package

Package B2BQ will estimate an offset and B2B "Q" of a communications system performance.
BERDFc

An example BERDF dataframe created by simsigs(), a function in a forthcoming package coherent.
B2BConvert

B2BConvert Converts a function of SNR into one of SNR, B2B, and Offset.
mleB2B

mleB2B Estimates Back-to-Back "Q" and Offsets to a bit error rate function.
Theoretical

Theoretical error rate functions