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rLifting  

High-Performance Wavelet Lifting Transforms
View on CRAN: Click here


Download and install rLifting package within the R console
Install from CRAN:
install.packages("rLifting")

Install from Github:
library("remotes")
install_github("cran/rLifting")

Install by package version:
library("remotes")
install_version("rLifting", "0.9.0")



Attach the package and use:
library("rLifting")
Maintained by
Moises da Silva
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-20
Latest Update: 2026-02-20
Description:
Performs Wavelet Lifting Transforms focusing on signal denoising and functional data analysis (FDA). Implements a hybrid architecture with a zero-allocation 'C++' core for high-performance processing. Features include unified offline (batch) denoising, causal (real-time) filtering using a ring buffer engine, and adaptive recursive thresholding.
How to cite:
Moises da Silva (2026). rLifting: High-Performance Wavelet Lifting Transforms. R package version 0.9.0, https://cran.r-project.org/web/packages/rLifting. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 0.9.0 (2026-02-20 11:00)
Other packages that cited rLifting R package
View rLifting citation profile
Other R packages that rLifting depends, imports, suggests or enhances
Complete documentation for rLifting
Functions, R codes and Examples using the rLifting R package
Full rLifting package functions and examples
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