Speech Processing using Normalized Least Mean Square

Authors

  • Roobal Rani Department of ECE, HCTM Kaithal, Haryana, India Author
  • Devender Prakash Chichi Department of ECE, HCTM Kaithal, Haryana, India Author

DOI:

https://doi.org/10.14741/

Keywords:

Signal processing, Real-Time Noise Cancellation etc

Abstract

Signal processing has become an important tool in almost all fields of science and engineering. The characteristics of signals/systems are either not known or change with time. Processing techniques/algorithms should adapt to the unknown characteristics which may be time invariant or variant. ANC is a technique used to remove a unwanted noise from received signal. ANC is typically a dual-input, closed-loop adaptive feedback system. the primary sensor not only records the signal from the desired signal source, it also picks up a delayed and/or filtered version of noise signals originating from the noise source. The purpose of this dissertation work deals with the various aspects of design & implementation of Real-Time Noise Cancellation and its usage in different applications.

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Published

2016-04-30

Issue

Section

Articles

How to Cite

Speech Processing using Normalized Least Mean Square. (2016). International Journal of Current Engineering and Technology, 6(2), 536-538. https://doi.org/10.14741/