Peer Review: Classification of the Syllables Sound Using Wavelet, Renyi Entropy and AR-PSD Features

Kristomo, Domy (2021) Peer Review: Classification of the Syllables Sound Using Wavelet, Renyi Entropy and AR-PSD Features. STMIK AKAKOM YOGYAKARTA.

[img]
Preview
 Text (Peer Review: Classification of the Syllables Sound Using Wavelet, Renyi Entropy and AR-PSD Features)
5.NilaiPeerReview_Classification of the Syllables Sound (reviewer bu Widya).pdf - Published Version
Download (733kB) | Preview
[img]
Preview
 Text (Peer Review: Classification of the Syllables Sound Using Wavelet, Renyi Entropy and AR-PSD Features)
5.NilaiPeerReview_Classification of the Syllables Sound.pdf - Published Version
Download (741kB) | Preview
Item Type: Other
Additional Information: Prosiding :2017 IEEE 13th International Colloquium on Signal Processing & its Application (CSPA 2017). ISBN: 978-1-5090-1185-8
Subjects: Peer Reviews
Depositing User: Titis Pratiwi
Date Deposited: 20 Jul 2021 15:03
Last Modified: 20 Jul 2021 15:03
URI: http://eprints.akakom.ac.id/id/eprint/9267

Actions (login required)

View Item View Item
UTDI Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.