An efficient minimum mean M-Estimate sub-band adaptive active noise cancellation algorithm

Noise has become an element of disturbance specifically in industrial equipment. Noise may be in electrical form or in mechanical form. The later form is addressed in this paper. In the instruments used in industries, mechanical vibrations constantly occur. These are needed to be addressed and removed, else they cause the actual signal to get corrupted. This corrupted signal will not give exact results. The concept of adaptive filtering along with Sub-band structure can be applied efficiently to remove these vibrations. Now it all depends on the kind of algorithm that governs the filter. Better the flexibility and stability of the algorithm, better will be the result. Mainly algorithms like Filtered-X Least Mean Square algorithm and its family are used for removing noise actively. In this paper an advanced algorithm is proposed that efficiently removes the noise. The results shown at the end justifies the proposal. Therefore the aim of the paper is to combine the advantages of the sub-band concept and the proposed algorithm so that they together enhance the noise attenuation as well as lower the computational complexity.