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:
binfunest_0.1.0.9000.tar.gz
binfunest_0.1.0.9000.zip(r-4.5)binfunest_0.1.0.9000.zip(r-4.4)binfunest_0.1.0.9000.zip(r-4.3)
binfunest_0.1.0.9000.tgz(r-4.4-any)binfunest_0.1.0.9000.tgz(r-4.3-any)
binfunest_0.1.0.9000.tar.gz(r-4.5-noble)binfunest_0.1.0.9000.tar.gz(r-4.4-noble)
binfunest_0.1.0.9000.tgz(r-4.4-emscripten)binfunest_0.1.0.9000.tgz(r-4.3-emscripten)
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
- BERDFc - An example 'BERDF' dataframe created by 'simsigs()', a function in a forthcoming package 'coherent'.
Last updated 2 years agofrom:bb8ea9408c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:B2BConvertcor.mledBDBPSKdBDQPSKdBDQPSKDDdBis.wholenumbermarcumqmleB2Bmod_Invmod_InvVMPSKdBMPSKdB.8PSQPSKdBQ_Q_InvQAMdBQAMdB.16QAMdB.8.starQPSKdBundB
Dependencies:pracma
BER_Functions
Rendered fromBER_Functions.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2022-10-13
Started: 2022-10-13
Estimating B2B Q and Offsets
Rendered fromB2B_BER.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2022-10-25
Started: 2022-08-30
Generic Simplified Log Likelihood
Rendered fromGenericQ.Rmdusingknitr::rmarkdownon Nov 16 2024.Last update: 2022-10-25
Started: 2022-10-25
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| B2BConvert Converts a function of SNR into one of SNR, B2B, and Offset. | B2BConvert |
| An example 'BERDF' dataframe created by 'simsigs()', a function in a forthcoming package 'coherent'. | BERDFc |
| cor.mle returns the correlation matrix of an mle fit. | cor.mle |
| mleB2B Estimates Back-to-Back "Q" and Offsets to a bit error rate function. | mleB2B |
| Theoretical error rate functions | dB DBPSKdB DQPSKdB DQPSKDDdB is.wholenumber marcumq mod_Inv mod_InvV MPSKdB MPSKdB.8 PSQPSKdB QAMdB QAMdB.16 QAMdB.8.star QPSKdB Q_ Q_Inv Theoretical undB |
