کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565184 875684 2006 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Approximated fast estimator for the shape parameter of generalized Gaussian distribution
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Approximated fast estimator for the shape parameter of generalized Gaussian distribution
چکیده انگلیسی

Generalized Gaussian distribution (GGD) is often used to characterize the statistical behaviour of a multimedia signal [J.R. Ohm, Multimedia Communication Technology, Representation, Transmission and Identification of Multimedia Signals. Springer, Berlin, 2004]. Although, the estimation of the shape parameter can be based on the maximum likelihood method, this method is computationally demanding. The computational complexity can be reduced by the application of the moment method for the first and second absolute moments. However, this method does not result in small error for the small values of GGD shape parameter. Furthermore, the inversion function often requires storing all control points of a curve.The method presented in this paper approximates the estimation of GGD shape parameter in the range 0.3–3 keeping small relative mean square error (RMSE) for this range. The method is based on the approximation of the moment method in four intervals. The assumed model allows a fast estimation of GGD shape parameter for real-time applications and requires storing only 12 coefficients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 86, Issue 2, February 2006, Pages 205–211
نویسندگان
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