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two -dimensional recursive adaptive matching pursuit filter

عنوان مقاله: two -dimensional recursive adaptive matching pursuit filter
شناسه ملی مقاله: ACCSI11_210
منتشر شده در یازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1384
مشخصات نویسندگان مقاله:

mohammad shams esfand abadi - department of electrical engineering shahid rajaee university
ali mahlooji far - department of electrical engineering tarbiat modares university

خلاصه مقاله:
in this paper a new two-dimensional 2-D adaptive filter algorithm is proposed . The algorithm is based on the matching pursuit technique and is characterized by optimally update only one filter coefficient in every iteration and optimally determining which coefficient to update . an efficient implementation of the algorithm is presented and its computational complexity is treated in detail. the proposed algorithm is illustrated and compared with the 2-D least mean squares LMS algorithm for the applications of image restoration and two -dimensional system identification.

کلمات کلیدی:
adaptive filtering, least mean square, matching pursuit, image restoration, system identification

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/127299/