Low Power VLSI Implementation of Adaptive Noise Canceller Based on LeastMean Square Algorithm
به نام خدا
Title: Low Power VLSI Implementation of Adaptive Noise Canceller Based on LeastMean Square Algorithm
Authors: Vakulabharanam Ramakrishna, Tipparti Anil Kumar
Abstract: This paper presents VLSI implementation of adaptive noise canceller based on least mean square algorithm. First, the adaptive parameters are obtained by simulating noise canceller on MATLAB. Simulink model of adaptive noise canceller was developed and the noise is suppressed to a much larger extent in recovering the original signal. The data such as input and output signals, desired signal, step size factor and coefficients of adaptive filter was processed by FPGA. Finally, the functions of field programmable gate array -based system structure for adaptive noise canceller based on LMS algorithm are synthesized, simulated, and implemented on XilinxXC3s200 field programmable gate array using Xilinx ISE tool. The research results show that it is feasible to implement and use adaptive least mean square filter based adaptive noise canceller design which consumed a low power of 0.156W at29.1° C in a single field programmable gate array chip.
Publish Year: 2013
Published in: ISMS - IEEE
Number of Pages: 4
موضوع: طراحی مدارهای VLSI – سخت افزار کامپیوتر
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
