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Enhancing Sparse Echo cancellation Using New Improved Proportionate Normalized Subband Adaptive Filter Algorithms

عنوان مقاله: Enhancing Sparse Echo cancellation Using New Improved Proportionate Normalized Subband Adaptive Filter Algorithms
شناسه ملی مقاله: COMCONF01_103
منتشر شده در کنفرانس بین المللی یافته های نوین پژوهشی درمهندسی برق و علوم کامپیوتر در سال 1394
مشخصات نویسندگان مقاله:

Sima Kadkhodazadeh - Ministry Of Education, Tehran provinces education and training office

خلاصه مقاله:
Acoustic echo cancellation plays crucial role in communication system and wireless telephony networks. Due to the sparse nature of echo, Some adaptive algorithms like NLMS show poor performance in echo cancelation. Here, we extending the concept of improved proportionate adaptation to thenormalized subband adaptive filter (NSAF), and four proportionate algorithms were created; Improved Proportionate Normalized Subband Adaptive Filter (IPNSAF), improved IPNSAF (IIPNSAF), Set-Membership IPNSAF (SM-IPNSAF) and Improved SM-IPNSAF (SM-IIPNSAF). Simulation results in Mathlab on established algorithms show good performance in sparse channel

کلمات کلیدی:
Normalized subband adaptive filter, proportionate, set-membership, sparse echo cancellation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/404212/