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Two-Dimensional Variable Step-Size Normalized Least Mean Squares and Affine Projection Adaptive Filter Algorithms

عنوان مقاله: Two-Dimensional Variable Step-Size Normalized Least Mean Squares and Affine Projection Adaptive Filter Algorithms
شناسه ملی مقاله: ICMVIP06_176
منتشر شده در ششمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1389
مشخصات نویسندگان مقاله:

Mohammad Shams Esfand Abadi - Faculty of Electrical and Computer Engineering, Shahid Rajaee University, Tehran, Iran
Sahar Nikbakht

خلاصه مقاله:
In this paper new two-dimensional (TD) adaptive filter algorithms are introduced. The presented algorithms are TD variable step-size (VSS) normalized least mean squares (TD-VSSNLMS)and TD-VSS affine projection algorithms (TD-VSS-APA). In these algorithms, the step-size changes during the adaptation which leads to the low steady-state mean square error (MSE), and fast convergence speed. We demonstrate the good performance of the derived algorithms in TD system identification and adaptive noise cancellation in digital images for image restoration.

کلمات کلیدی:
Adaptive filter, two dimensional, variablestep-size, system identification, adaptive noise cancellation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/113609/