Denoising solar radiation data using Meyer wavelets

Samsul Ariffin Abdul Karim, Balbir Singh Mahinder Singh, Bakri Abdul Karim, Mohammad Khatim Hasan, Jumat Sulaiman, Josefina B. Janier, Mohd Tahir Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Signal processing is important in solar energy data analysis since the received solar radiation data fluctuates continuously. Some of the fluctuations can be considered as noise, and need to be filtered out before the signal will be used for other analysis. There exist various methods in order to filter the noise and one of the promising methods is wavelets transform. This paper utilized the use of wavelet transform method for solar radiation denoising. The Meyer wavelets have been utilized, instead of the usual sinusoidal or Gaussian type functions. Since Meyer wavelets are obtained directly from its Fourier transform which is in terms of sinusoidal functions, optimized Meyer wavelets may give a good indication of the solar radiation data. Results showed Heuristic Stein Unbiased Estimate of Risk (SURE) and SURE gave better denoised results as compared to Minimax and Fixed Form methods.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages685-690
Number of pages6
Volume1482
DOIs
Publication statusPublished - 2012
Event2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012 - Kuala Lumpur
Duration: 12 Jun 201214 Jun 2012

Other

Other2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012
CityKuala Lumpur
Period12/6/1214/6/12

Fingerprint

solar radiation
wavelet analysis
solar energy
signal processing
indication
filters
estimates

Keywords

  • denoising
  • Meyer wavelets
  • solar radiation
  • wavelet transform

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Karim, S. A. A., Singh, B. S. M., Karim, B. A., Hasan, M. K., Sulaiman, J., Janier, J. B., & Ismail, M. T. (2012). Denoising solar radiation data using Meyer wavelets. In AIP Conference Proceedings (Vol. 1482, pp. 685-690) https://doi.org/10.1063/1.4757559

Denoising solar radiation data using Meyer wavelets. / Karim, Samsul Ariffin Abdul; Singh, Balbir Singh Mahinder; Karim, Bakri Abdul; Hasan, Mohammad Khatim; Sulaiman, Jumat; Janier, Josefina B.; Ismail, Mohd Tahir.

AIP Conference Proceedings. Vol. 1482 2012. p. 685-690.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karim, SAA, Singh, BSM, Karim, BA, Hasan, MK, Sulaiman, J, Janier, JB & Ismail, MT 2012, Denoising solar radiation data using Meyer wavelets. in AIP Conference Proceedings. vol. 1482, pp. 685-690, 2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012, Kuala Lumpur, 12/6/12. https://doi.org/10.1063/1.4757559
Karim SAA, Singh BSM, Karim BA, Hasan MK, Sulaiman J, Janier JB et al. Denoising solar radiation data using Meyer wavelets. In AIP Conference Proceedings. Vol. 1482. 2012. p. 685-690 https://doi.org/10.1063/1.4757559
Karim, Samsul Ariffin Abdul ; Singh, Balbir Singh Mahinder ; Karim, Bakri Abdul ; Hasan, Mohammad Khatim ; Sulaiman, Jumat ; Janier, Josefina B. ; Ismail, Mohd Tahir. / Denoising solar radiation data using Meyer wavelets. AIP Conference Proceedings. Vol. 1482 2012. pp. 685-690
@inproceedings{1b8472bb32d24ac4a12ebb0b53327d92,
title = "Denoising solar radiation data using Meyer wavelets",
abstract = "Signal processing is important in solar energy data analysis since the received solar radiation data fluctuates continuously. Some of the fluctuations can be considered as noise, and need to be filtered out before the signal will be used for other analysis. There exist various methods in order to filter the noise and one of the promising methods is wavelets transform. This paper utilized the use of wavelet transform method for solar radiation denoising. The Meyer wavelets have been utilized, instead of the usual sinusoidal or Gaussian type functions. Since Meyer wavelets are obtained directly from its Fourier transform which is in terms of sinusoidal functions, optimized Meyer wavelets may give a good indication of the solar radiation data. Results showed Heuristic Stein Unbiased Estimate of Risk (SURE) and SURE gave better denoised results as compared to Minimax and Fixed Form methods.",
keywords = "denoising, Meyer wavelets, solar radiation, wavelet transform",
author = "Karim, {Samsul Ariffin Abdul} and Singh, {Balbir Singh Mahinder} and Karim, {Bakri Abdul} and Hasan, {Mohammad Khatim} and Jumat Sulaiman and Janier, {Josefina B.} and Ismail, {Mohd Tahir}",
year = "2012",
doi = "10.1063/1.4757559",
language = "English",
isbn = "9780735410947",
volume = "1482",
pages = "685--690",
booktitle = "AIP Conference Proceedings",

}

TY - GEN

T1 - Denoising solar radiation data using Meyer wavelets

AU - Karim, Samsul Ariffin Abdul

AU - Singh, Balbir Singh Mahinder

AU - Karim, Bakri Abdul

AU - Hasan, Mohammad Khatim

AU - Sulaiman, Jumat

AU - Janier, Josefina B.

AU - Ismail, Mohd Tahir

PY - 2012

Y1 - 2012

N2 - Signal processing is important in solar energy data analysis since the received solar radiation data fluctuates continuously. Some of the fluctuations can be considered as noise, and need to be filtered out before the signal will be used for other analysis. There exist various methods in order to filter the noise and one of the promising methods is wavelets transform. This paper utilized the use of wavelet transform method for solar radiation denoising. The Meyer wavelets have been utilized, instead of the usual sinusoidal or Gaussian type functions. Since Meyer wavelets are obtained directly from its Fourier transform which is in terms of sinusoidal functions, optimized Meyer wavelets may give a good indication of the solar radiation data. Results showed Heuristic Stein Unbiased Estimate of Risk (SURE) and SURE gave better denoised results as compared to Minimax and Fixed Form methods.

AB - Signal processing is important in solar energy data analysis since the received solar radiation data fluctuates continuously. Some of the fluctuations can be considered as noise, and need to be filtered out before the signal will be used for other analysis. There exist various methods in order to filter the noise and one of the promising methods is wavelets transform. This paper utilized the use of wavelet transform method for solar radiation denoising. The Meyer wavelets have been utilized, instead of the usual sinusoidal or Gaussian type functions. Since Meyer wavelets are obtained directly from its Fourier transform which is in terms of sinusoidal functions, optimized Meyer wavelets may give a good indication of the solar radiation data. Results showed Heuristic Stein Unbiased Estimate of Risk (SURE) and SURE gave better denoised results as compared to Minimax and Fixed Form methods.

KW - denoising

KW - Meyer wavelets

KW - solar radiation

KW - wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=84874152444&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874152444&partnerID=8YFLogxK

U2 - 10.1063/1.4757559

DO - 10.1063/1.4757559

M3 - Conference contribution

AN - SCOPUS:84874152444

SN - 9780735410947

VL - 1482

SP - 685

EP - 690

BT - AIP Conference Proceedings

ER -