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Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation
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 Title & Authors
Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation
Kim, Chun-Sik; Lee, Chae-Wook;
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The LMS(Least Mean Square) algorithm is generally used because of tenacity, high mating spots and simplicity of realization. But the LMS algorithm has trade-off between nonuniform collect and EMSE(Excess Mean Square Error). To overcome this weakness, variable step size is used widely but it needs a lot of calculation load. In this paper we consider new algorithm, which can reduce calculations and adapt in case of environment changes, uses original signal and noise signal of IGC(Instantaneous Gain Control). For the real time processing of IGC algorithm, we remove the logarithmic function. The performance of proposed algorithm is tested to adaptive noise canceller in automobile. We show implemented LabVIEW FPGA system of IGC algorithm is more efficient than others.
 Cited by
실시간 소음 제거에 적합한 변형 IGC 알고리즘에 관한 연구,이채욱;

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