Abstract
Present technical scenario of communication system, adaptive filters has been widely used, in several applications such as adaptive interference cancellation, beamforming, prediction equalization, and plant identification. This research work proposes an area-efficient design of FPGA based least mean square. A control approach is used to minimize the state diagram of the FSM of the proposed filter design. Least mean square algorithm is usually used for low computational complexity, simplification, and better performance in different running environments.
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Devendra Goyal, Manish Singhal (2016). Area-Efficient FPGA Model of LMS Filtering Algorithm. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_106
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DOI: https://doi.org/10.1007/978-81-322-2638-3_106
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