Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis / Jean-louis Akakatshi Ossako ... [et al.]

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
Edit Item
Edit Item

Download

[thumbnail of 59790.pdf] Text
59790.pdf

Download (517kB)

ID Number

59790

Indexing

Statistic

Statistic details