Denoising of Bivariate Normal distribution by Shrinkage Wavelet Method Based on the New Threshold
محل انتشار: چهارمین کنفرانس بین المللی محاسبات نرم
سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 264
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شناسه ملی سند علمی:
CSCG04_142
تاریخ نمایه سازی: 23 اسفند 1400
چکیده مقاله:
Normal distribution is one of the most important and widely used statistical distributions. According to application of this distribution to many real world problem, denoising of signals with this distribution is important. In this paper, the aim is denoise Bivariate Normal distribution with Shrinkage Wavelet method based on Generalized type of steins risk-unbiased estimator threshold. For this puropse, the threshold value under balanced loss function is first obtained then using simulation de-noise of bivariate normal distribution image is discussed.
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نویسندگان
Ziba Batvandi
Faculty of Intelligent Systems Engineering and Data Science, department of Statistics, Persian Gulf University Bushehr
Mahmoud Afshari
Faculty of Intelligent Systems Engineering and Data Science, department of Statistics, Persian Gulf University, Bushehr
Hamid Karamikabir
Faculty of Intelligent Systems Engineering and Data Science, department of Statistics, Persian Gulf University, Bushehr