Echo Cancellation Using NLMS Adaptive Algorithm
DOI:
https://doi.org/10.18486/ijcsnt/5.3.070Keywords:
Speech Processing, NLMS, MSE, Echo CancellationAbstract
This paper presents the Cancellation of an acoustic echo. Such echo canceller is essential to control the echoes generated by the acoustic coupling between the microphone and loudspeaker in hands free telephones or teleconferencing applications. Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps. In short the NLMS technique allows high quality acoustic echo cancellation whilst maintaining reasonable computational burden for low cost applications. This is especially the case when the acoustic echo path increases in length.
References
Haykin S and Kailath T. Adaptive Filter Theory. Fourth ed. Prentice Hall, Pearson Education, 2002.
Capman F, Boudy J and Lockwood P. Acoustic echo cancellation using a fast QR-RLS algorithm and multirate schemes. IEEE Transactions on Signal Processing 1995; 969–972. DOI: https://doi.org/10.1109/ICASSP.1995.480337
Tyagi R and Sharma DK. Digital image compression comparisons using DPCM and DPCM with LMS algorithm. International Journal of Computer Applications & Information Technology 2012; I(II): 65–71.
Behbahani S. Investigation of adaptive filtering for noise cancellation in ECG signals. In: Second International Multisymposium on Computer and Computational Sciences. pp. 144–149. DOI: https://doi.org/10.1109/IMSCCS.2007.77
Tyagi R, Yadav R and Sharma S. Image compression using DPCM with LMS algorithm. Journal of Communication and Computer 2011; 8: 490–493.
Chaudhary A, Barnawal A, Gupta A et al. Analysis of noise signal cancellation using adaptive algorithms. International Journal of Engineering Research and General Science 2014; 2(6).
Tyagi R and Agrawal D. Analysis the results of acoustic echo cancellation for speech processing using LMS adaptive filtering algorithm. International Journal of Computer Applications 2012; 56(15): 7–11.
Sandham W, Hamilton D, Laguna P et al. EURASIP Journal on Advances in Signal Processing 2007; Article ID 69169, 5 pages. DOI: https://doi.org/10.1155/2007/69169
Koteeshwari R and Suhanya. Performance enhancement of adaptive filters using preprocessing technique by wavelet transform. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2014; 3(6).
Garg S and Sood R. A literature survey based on adaptive algorithms. An International Journal of Engineering Sciences 2016; 17.
Rupp M, Kellermann W, Zoubir A et al. Advances in adaptive filtering theory and applications to acoustic and speech signal processing. EURASIP Journal on Advances in Signal Processing 2016. DOI: https://doi.org/10.1186/s13634-016-0361-z
Kamatham Y and Sultana N. Performance analysis of adaptive filters for denoising of ECG signals. International Journal of Innovative Research in Computer and Communication Engineering 2016; 4(6).
Sathawane P and Prasanthi DV. An optimal low power adaptive filter design for noise reduction. International Journal of Science, Engineering and Technology Research 2014; 3(9).
Thorat SB and Rashmi R. Implementation of adaptive filter using FPGA. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering 2016; 4(6).
Jones DL. Adaptive Filters.
Proakis JG. Digital Communications. Fourth ed. New York: McGraw-Hill, 2001.
Oppenheim AV and Schafer RW. Discrete-Time Signal Processing. 2nd ed. United States of America: Prentice Hall, 1999.
Kuo SM, Lee BH and Tian W. Real-Time Digital Signal Processing. John Wiley & Sons Ltd, 2006. DOI: https://doi.org/10.1002/0470035528
Tyagi R and Agrawal D. Analysis the results of acoustic echo cancellation for speech processing using LMS adaptive filtering algorithm. International Journal of Computer Applications 2012; 56(15): 7–11. DOI: https://doi.org/10.5120/8965-3175
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