Design and Analysis of Interval Adaptive Filter Applied to Active Noise Cancellation

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https://www.ijert.org/an-approach-for-snore-signal-control-using-interval-adaptive-filter
IJERTV9IS120193
Design and Analysis of Interval Adaptive Filter Applied to Active Noise Cancellation

Soumya S. Patil , Rajshekar B. Shettar

This paper proposes a unique approach to active noise cancellation system, which provides an efficient and effective non-intrusive solution for reducing the disturbing snore signal in the room. An interval analysis based adaptive algorithm is developed which is optimized for the different kinds of snore signals. In this work, we are replacing the input-signals auto-correlation matrix with an approximate estimate, by assuming of input-signal matrix is Toeplitz. In the proposed work, the multiplication of R 1x is replaced with the update of its matrix in the frequency domain. The stability of the algorithm is increased as interval matrices handle the bounded values. The main objective of this work is to increase stability by reducing the mean square error. The results obtained prove to show that the implementation with interval arithmetic is more accurate ruling out the rounding errors which are unavoidable in the traditional floating point approach. On the other hand, as there are two values (infimum, supremum) in interval analysis, the computational complexity increases.