Package: binfunest 0.1.0.9000

binfunest: Estimates Parameters of Functions Driving Binomial Random Variables

Provides maximum likelihood estimates of the performance parameters that drive a binomial distribution of observed errors given signal-to-noise ratios, 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, <ISBN:0-07-051726-6>)), including polarization shifted QPSK (Agrell & Karlsson (2009, <doi:10.1109/JLT.2009.2029064>)), and utility functions to work with the performance functions.

Authors:Philip Shea [aut, cre]

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binfunest.pdf |binfunest.html
binfunest/json (API)
NEWS

# Install 'binfunest' in R:
install.packages('binfunest', repos = c('https://philshea.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philshea/binfunest/issues

Datasets:
  • BERDFc - An example 'BERDF' dataframe created by 'simsigs()', a function in a forthcoming package 'coherent'.

On CRAN:

Conda:

4.18 score 1 scripts 216 downloads 21 exports 1 dependencies

Last updated 2 years agofrom:bb8ea9408c. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-winOKMar 16 2025
R-4.5-macOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-winOKMar 16 2025
R-4.4-macOKMar 16 2025
R-4.4-linuxOKMar 16 2025
R-4.3-winOKMar 16 2025
R-4.3-macOKMar 16 2025

Exports:B2BConvertcor.mledBDBPSKdBDQPSKdBDQPSKDDdBis.wholenumbermarcumqmleB2Bmod_Invmod_InvVMPSKdBMPSKdB.8PSQPSKdBQ_Q_InvQAMdBQAMdB.16QAMdB.8.starQPSKdBundB

Dependencies:pracma

BER_Functions

Rendered fromBER_Functions.Rmdusingknitr::rmarkdownon Mar 16 2025.

Last update: 2022-10-13
Started: 2022-10-13

Estimating B2B Q and Offsets

Rendered fromB2B_BER.Rmdusingknitr::rmarkdownon Mar 16 2025.

Last update: 2022-10-25
Started: 2022-08-30

Generic Simplified Log Likelihood

Rendered fromGenericQ.Rmdusingknitr::rmarkdownon Mar 16 2025.

Last update: 2022-10-25
Started: 2022-10-25