Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation 


Vol. 36,  No. 3, pp. 183-189, Mar.  2011


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  Abstract

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.

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  Cite this article

[IEEE Style]

C. Kim and C. Lee, "Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 3, pp. 183-189, 2011. DOI: .

[ACM Style]

Chun-Sik Kim and Chae-Wook Lee. 2011. Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation. The Journal of Korean Institute of Communications and Information Sciences, 36, 3, (2011), 183-189. DOI: .

[KICS Style]

Chun-Sik Kim and Chae-Wook Lee, "Labview FPGA Implementation of IGC Algorithm for Real Time Noise Cancelation," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 3, pp. 183-189, 3. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880