An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation

Xiaobo ZHOU; Hong WANG; Guofei ZHOU

doi:10.11999/JEIT200460

Volume 43 Issue 7

Jul. 2021

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Xiaobo ZHOU, Hong WANG, Guofei ZHOU. An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1816-1820. doi: 10.11999/JEIT200460

Citation:

Xiaobo ZHOU, Hong WANG, Guofei ZHOU. An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1816-1820. doi: 10.11999/JEIT200460

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An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation

doi: 10.11999/JEIT200460 cstr: 32379.14.JEIT200460

1.
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
The First Research Institute of the Ministry of Public Security, Beijing 100048, China

Funds: The National Natural Science Foundation of China (U1534201)

Received Date: 2020-06-08
Rev Recd Date: 2020-11-27

Available Online: 2020-12-02

Publish Date: 2021-07-10

Abstract

Abstract

For the speech impulse noise caused by the speckle effect in the laser vibration measurement system, a kurtosis detection algorithm based on the fourth-order cumulant is studied, and the mathematical iterative formulas for the kurtosis coefficient and the normalized kurtosis coefficient are deduced, and a method for determining the dynamic threshold of kurtosis coefficient is proposed in FPGA. The simulation results based on experimental data show that the algorithm reduces the calculation by about 25% compared with the theoretical formula and saves hardware resources, and has a more sensitive detection performance for lower amplitude impulse noise.
- Laser vibration measurement,
- Speckle effect,
- Impulse noise,
- Kurtosis detection

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References(16)

References

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