Use The Coiflets and Daubechies Wavelet Transform To Reduce Data Noise For a Simple Experiment | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 9, Volume 19, Issue 2, Autumn 2022, Page 138-154 PDF (1656 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/iqjoss.2022.176225 | ||
| Authors | ||
Mahmood M Taher  1; Sabah Manfi Redha2 | ||
| 1Teacher/ College of Computer science and Mathematics / Mosul University. | ||
| 2Professor, Department of Statistics, College of Administration And Economics , Baghdad University, Iraq. | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| :Data Noise; wavelet; Coiflets; Daubechies; Random Complete Blocks Design | ||
|
Statistics Article View: 81 PDF Download: 57 |
||
