Open AccessLossless Linear Integer signal Resampling
Author(s) -
S. Prasad,
D. Mohan Reddy
Publication year - 2012
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2012.1042
Subject(s) - resampling , factorization , lossless compression , mathematics , integer (computer science) , algorithm , signal (programming language) , matrix decomposition , interpolation (computer graphics) , matrix (chemical analysis) , computer science , artificial intelligence , data compression , image (mathematics) , programming language , eigenvalues and eigenvectors , physics , materials science , quantum mechanics , composite material
This paper describes about signal resampling based on polynomial interpolation is reversible for all types of signals, i.e., the original signal can be reconstructed losslessly from the resampled data. This paper also discusses Matrix factorization method for reversible uniform shifted resampling and uniform scaled and shifted resampling. Generally, signal resampling is considered to be irreversible process except in some special cases because of strong attenuation of high frequency components. The matrix factorization method is actually a new way to compute linear transform. The factorization yields three elementary integer-reversible matrices. This method is actually a lossless integer-reversible implementation of linear transform. Some examples of lower order resampling solutions are also presented in this paper.