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http://dx.doi.org/10.9723/jksiis.2016.21.3.001

Variable Step Size Adaptive Algorithm using Instantaneous Absolute Value Based on System Generator  

Lee, Chae-Wook (대구대학교 정보통신공학부)
Ryu, Jeong-Tak (대구대학교 전자전기공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.21, no.3, 2016 , pp. 1-6 More about this Journal
Abstract
As the convergence speed of time domain adaptive algorithm on the LMS(Least Mean Square) becomes slow when eigen value distribution width is spread, So variable step size algorithm is used widely. But it needs a lot of calculation load. In this paper we consider new algorithm, which can reduce calculations and improve convergence speed, uses instantaneous absolute value of average noise signal adapting the exponential function. For the performance of proposed algorithm is tested and simulated to system generator. As the result we show the variable step size adaptive algorithm in proportion to instantaneous absolute value is more stable and efficient than others.
Keywords
LMS algorithm; system generator; variable step size algorithm; average error; instantaneous absolute value;
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