Use The Coiflets and Daubechies Wavelet Transform To Reduce Data Noise For a Simple Experiment

• Published in: المجلة العراقية للعلوم الاحصائية Vol. 19; no. 2; pp. 138 - 154
• Main Authors: Mahmood Taher, Sabah Manfi Redha
• Format: Journal Article
• Language: Arabic
• Published: College of Computer Science and Mathematics, University of Mosul 01-12-2022
• Subjects: coiflets; data noise; daubechies; random complete blocks design; wavelet
• ISSN: 1680-855X; 2664-2956
• DOI: 10.33899/iqjoss.2022.176225

In this research, a simple experiment in the field of agriculture was studied, in terms of the effect of out-of-control noise as a result of several reasons, including the effect of environmental conditions on the observations of agricultural experiments, through the use of Discrete Wavelet transformation, specifically (The Coiflets transform of wavelength 1 to 2 and the Daubechies transform of wavelength 2 To 3) based on two levels of transform (J-4) and (J-5), and applying the hard threshold rules, soft and non-negative, and comparing the wavelet transformation methods using real data for an experiment with a size of 26 observations. The application was carried out through a program in the language of  MATLAB. The researcher concluded that using the wavelet transform with the Suggested threshold reduced the noise of observations through the comparison criteria.