Mechanical vibration is a type of noise that creates problems in all areas of communication and electronic appliances. Silencers are important for noise cancellation over broad frequency range but ineffective and costly at low frequencies.

The traditional approach to acoustic noise cancellation uses passive techniques such as enclosures, barriers and silencers to remove the unwanted noise signal. Keywords :- Adaptive noise cancellation (ANC), Least Mean square (LMS) Algorithm, Adaptive filtering and Normalized Least Mean Square (NLMS).Īcoustic noise problems becomes more pronounce as increase in number of industrial equipment such as engines, transformers, compressors and blowers are in use. Choose the algorithms that provide efficient performance with less computational complexity. This paper deals with cancellation of noise on speech signal using two adaptive algorithms Least Mean Square (LMS) algorithm and Normalized Least Mean Square (NLMS) Algorithm. As received signal is continuously corrupted by noise where both received signal and noise signal both changes continuously, then this arise the need of adaptive filtering. Adaptive noise cancellation is an approach used for noise reduction in speech signal. Adaptive Noise Cancellation using Least Mean Sqaure Filter Algorithm (Matlab)Īrchit Prakash Raut1, Aayesha Raj2, Shalvi Patil3 and Tanvi Patil4 Department of Electronics and Telecommunication Engineering Vidyavardhinis College of Engineering and TechnologyĪbstract :- Adaptive filtering is a wide area of researcher in present decade in the field of communication.

Matlab mean