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Variable Step Size Adaptive Algorithm using Instantaneous Absolute Value Based on System Generator
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 Title & Authors
Variable Step Size Adaptive Algorithm using Instantaneous Absolute Value Based on System Generator
Lee, Chae-Wook; Ryu, Jeong-Tak;
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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.
LMS algorithm;system generator;variable step size algorithm;average error;instantaneous absolute value;
 Cited by
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