Jean-louis, Akakatshi Ossako and Rebecca, Walo Omana and Richard, Bopili Mbotia and Antoine, Kitombole Tshovu
(2023)
Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis / Jean-louis Akakatshi Ossako ... [et al.].
Journal of Computing Research and Innovation (JCRINN), 8 (1): 7.
pp. 84-96.
ISSN 2600-8793
Abstract
Signal compression and data compression are techniques for storing and transmitting signals using fewer bits as possible for encoding a complete signal. A good signal compression scheme requires a good signal decomposition scheme. The decomposition of the signal can be done as follows: The signal is split into a low-resolution part, described by a smaller number of samples than the original signal, and a signal difference, which describes the difference between the low-resolution signal and the real coded signal. Our paper deals with the proofs of these properties in a fuzzy environment. The proof of one dimensional multiresolution analysis is given.
Metadata
Item Type: | Article |
---|---|
Creators: | Creators Email / ID Num. Jean-louis, Akakatshi Ossako UNSPECIFIED Rebecca, Walo Omana UNSPECIFIED Richard, Bopili Mbotia UNSPECIFIED Antoine, Kitombole Tshovu UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Fuzzy arithmetic |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus |
Journal or Publication Title: | Journal of Computing Research and Innovation (JCRINN) |
UiTM Journal Collections: | UiTM Journal > Journal of Computing Research and Innovation (JCRINN) |
ISSN: | 2600-8793 |
Volume: | 8 |
Number: | 1 |
Page Range: | pp. 84-96 |
Keywords: | Fuzzy image, fuzzy multiresolution analyzes, fuzzy basis functions, fuzzy basis Riesz, fuzzy orthonormal basis. |
Date: | March 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/59790 |