Abstract
In this paper, modified sigmoid function RLS (MSRLS) algorithm is proposed for online noise cancellation from audio signals. The experiments are performed using TMS320C6713 processor with code composer studio (CCS) v3.1. The performance of RLS and MSRLS algorithms is evaluated and compared for noisy signals with car noise, F16 noise, and babble noise at −5, 0, and 5 dB SNR levels. The proposed MSRLS algorithm has shown a maximum of 2.03 dB improvement in SNR over RLS algorithm at input signal of −5 dB SNR with F16 noise. The proposed MSRLS algorithm has also shown decrement in mean square error (MSE) at all SNR levels for all noises in comparison with RLS algorithm.
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Gupta, V.K., Gupta, D.K., Chandra, M. (2015). Real-Time Noise Canceller Using Modified Sigmoid Function RLS Algorithm. In: Sethi, I. (eds) Computational Vision and Robotics. Advances in Intelligent Systems and Computing, vol 332. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2196-8_8
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DOI: https://doi.org/10.1007/978-81-322-2196-8_8
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