مشخصات پژوهش

عنوان	الگوریتم موجک دوبعدی براورد موجکی هسته ای تابع رگرسیون ناپارامتری
نوع پژوهش	مقالات در همایش ها
کلیدواژه‌ها	wavelet, Two -Dimensional, Signal, Fast wavelets, Estimation, Discreet wavelet, Multiresolution Analysis, Kernel, nonparametric regression.
چکیده	Wavelets a.re regarded by many as primarily a. new subject in pure and applied mathematics. perhaps one of the most common application of wavelets is in signal processing . In this paper we applying wavelets to any signal under consideration by a mathematical function f. To analyze a signal or function in term of wavelets, we propose, obtaining an algorithm of two-dimensional Wavelets decomposition by using wavelet transform. At the end we obtain Kernel-Wavelet Estimation of Non-parametric Regression Function using wavelet algorithm.
پژوهشگران	محمود افشاری (نفر اول)، بهزاد قلی زاده (نفر دوم)