Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis / Jean-louis Akakatshi Ossako ... [et al.]
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book |
| Published: |
UiTM Cawangan Perlis,
2023-11.
|
| Subjects: | |
| Online Access: | Link Metadata |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_59790 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Jean-louis, Akakatshi Ossako |e author |
| 700 | 1 | 0 | |a Rebecca, Walo Omana |e author |
| 700 | 1 | 0 | |a Richard, Bopili Mbotia |e author |
| 700 | 1 | 0 | |a Antoine, Kitombole Tshovu |e author |
| 245 | 0 | 0 | |a Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis / Jean-louis Akakatshi Ossako ... [et al.] |
| 260 | |b UiTM Cawangan Perlis, |c 2023-11. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/59790/1/59790.pdf | ||
| 500 | |a Decomposition of a fuzzy function by one-dimensional fuzzy multiresolution analysis / Jean-louis Akakatshi Ossako ... [et al.]. (2023) Journal of Computing Research and Innovation (JCRINN) <https://ir.uitm.edu.my/view/publication/Journal_of_Computing_Research_and_Innovation_=28JCRINN=29/>, 8 (1): 7. pp. 84-96. ISSN 2600-8793 | ||
| 520 | |a 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. The concept of fuzzy wavelets is introduced and as a byproduct a special fuzzy space of details of a signal is given and an orthonormal basis of L2(0,1,(R),, F(R)) decomposing the fuzzy signal is obtained. | ||
| 546 | |a en | ||
| 690 | |a Fuzzy arithmetic | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/59790/ | |
| 787 | 0 | |n https://crinn.conferencehunter.com/index.php/jcrinn | |
| 787 | 0 | |n https://doi.org/10.24191/jcrinn.v8i1.336 | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/59790/ |z Link Metadata |