eprintid: 1510
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/15/10
datestamp: 2023-11-09 15:49:41
lastmod: 2023-11-09 15:49:41
status_changed: 2023-11-09 15:40:46
type: conference_item
metadata_visibility: show
creators_name: Karim, S.A.A.
creators_name: Singh, B.S.M.
creators_name: Razali, R.
creators_name: Yahya, N.
creators_name: Karim, B.A.
title: Solar radiation data analysis by using Daubechies wavelets
ispublished: pub
keywords: Data filtering; Daubechies; Daubechies Wavelet; Level 5; Solar radiation data, Control systems; Data compression; Solar radiation; Sun; Wavelet transforms, Discrete wavelet transforms
note: cited By 5; Conference of 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011 ; Conference Date: 25 November 2011 Through 27 November 2011; Conference Code:89794
abstract: The aim of this paper is to study the possibility of using wavelet transform method for solar radiation data compression. The Daubechies wavelets were utilized for analyzing the transient nature of solar radiation. The measured solar radiation was subjected to the wavelets techniques for smoothing and filtering of data that was decomposed up to level 5. The findings from this study show that the Daubechies wavelets method can be used for filtering and smoothing of solar radiation. The results presented indicate that Daubechies 10 (D10) wavelet approach is suitable for data filtering and smoothing of the solar radiation data. © 2011 IEEE.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862058089&doi=10.1109%2fICCSCE.2011.6190591&partnerID=40&md5=86e25e0d0113557ad6c61eabb72b0e63
id_number: 10.1109/ICCSCE.2011.6190591
full_text_status: none
publication: Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011
place_of_pub: Penang
pagerange: 571-574
refereed: TRUE
isbn: 9781457716423
citation:   Karim, S.A.A. and Singh, B.S.M. and Razali, R. and Yahya, N. and Karim, B.A.  (2011) Solar radiation data analysis by using Daubechies wavelets.  In: UNSPECIFIED.