Research of Noise Reduction Algorithm Based on Real Time

Abstract:

This Paper Mainly Summarized the Filtering Effect of Modified LMS Algorithms. Modified LMS Algorithms could Deal with the Noisy Speech at Real Time by Using the Correlated Property of Useful Signal and Uncorrelated Property of Noise to Strengthen the Relevant Part and Weaken the Irrelevant Part. the Modified Algorithms could be Compared by the SNR (Signal Noise Ratio) of Output Signal, MSE (Mean Square Error) and Misalignment with the Help of MATLAB Simulation so that the Advantages and Disadvantages of each Algorithm can be Summed up. Finally, in Order to get Faster Processing Speed, a New Idea that Combined the Modified LMS Algorithms with RNS (Residue Number System) was Proposed. the Combined System could Process the Signal in Parallel Instead of Serial so that Greatly Improved the Processing Speed and Guaranteed the Effectiveness of Real Time Processing.

• Periodical: Applied Mechanics and Materials (Volume 532)
• Pages: 157-161
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.532.157
• Online since: February 2014
• Authors: Guo Xiang Tong, Fang Fang Lv*, Jian Tan
• Keywords: Misalignment, Modified LMS, MSE, Noise Reduction, RNS, SNR, Step Size

References

[1] Zhijiang Hou, Research on delay estimation of microphone array. Nankai University, a master's degree thesis . 2009. 01.

[2] Baofeng Tian. Research of extracting the signal of fetal heart rate which based on adaptive denoising algorithm [C] . a master's degree thesis of Jilin University. 2004. 5.

[3] Haxiao Zhen, Xing liu. The research of high noise environment based on adaptive filtering de-noising technology research [J]. Journal of electronic measurement technology. 2007. 30 (7).

[4] Zhaofu Zeng, Qiaohong Zhao. MATLAB simulation and DSP realization of normalized LMS adaptive filter [J]. The journal of Hunan University for Science and Technology (Natural Science) gramm, 2010. 25 (3) : 67-71.

[5] Sanyuan Cheng, Jianhua Wang A new variable step size LMS adaptive filtering algorithm [J]. Academic journal of East China shipbuilding industry (natural science edition). 2002. 16 (3) : 50-52.

[6] Yan Yong gang, Junwei Zhao. An Novel Variable Step Size LMS Adaptive Filtering Algorithm Based on Hyperbolic Tangent Function[D]. 2010 International Conference on Computer Application and System Modeling ( lCCASM 2010). (2010).

DOI: 10.1109/iccasm.2010.5622332

[7] Shenming Wang, Wannarat Suntiamorntut, Nattha Jindapetch. Adaptive LMS Filter for Noise Cancellation Based on FPGA[D]. 2010 4th International Conference on Intelligent Information Technology Application. (2010).

[8] Kleinberg J. Authoritative sources in a hyperlinked environment [J]. Extended Version in Journal of the ACM, 1999, 46(5): 604-632.

DOI: 10.1145/324133.324140

[9] Zhang Tingting, Research on enhancement algorithm based on adaptive speech signal and with the Matlab simulation [C]. 2011. 7.

[10] J. C. Bajard, L. Imbert: A Full RNS Implementation of RSA, IEEE Transactions on Computers Vol. 53(2004), No. 6, pp.769-774.

DOI: 10.1109/tc.2004.2

[11] Shang Ma and Jianhao Hu: Applications of RNS in SDR Systems, Telecommunication Sci. Vol. 25(2009), No. 2, pp.84-88.

[12] Guoxiang Tong and Ming Chen: Hardware Implement of the Forward Value Conversion Algorithm for Delta-Sigma System based Direct Stream Digital (IEEE 5th Conf. on Wireless Communications Networking and Mobile Computing, China 2009).

DOI: 10.1109/wicom.2009.5302313