Kunal Kumar Das

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In this paper, we present an adaptive filtering algorithm for multichannel Active Noise Cancellation (ANC) system in frequency domain. This approach rests upon the frequency domain block filtered-x LMS algorithm and NLMS algorithm, utilization of which facilitates variable step size control for multichannel ANC. Computational complexity for the proposed(More)
In this paper, we propose a computationally efficient Legendre Neural Network (LNN) for nonlinear Active Noise Cancellation(NANC). Update algorithms for NANC with linear secondary path (LSP) based on Filtered-x Least Mean Square (FXLMS), Filtered-e Least Mean Square (FELMS) and Recursive Least Square(RLS) are developed. Update algorithm for NANC with(More)
In this paper, we propose a computationally efficient Legendre Neural Network (LNN) for nonlinear Active Noise Cancellation (NANC). Update algorithms for NANC with linear secondary path (LSP) based on Filtered-x Least Mean Square (FXLMS), Filtered-e Least Mean Square(FELMS) and Recursive Least Square(RLS) are developed. Update algorithm for NANC with(More)
Beamforming and side lobe level reduction of smart antenna are important tasks in mobile network. Adaptive signal processing algorithms are used for beam forming in smart antenna. In this paper, variable step-size sign least mean square (VS-SLMS) algorithm is used for beam forming of smart antenna with linear antenna array. The results are compared with the(More)
In this paper, a feedforward nonlinear active noise cancellation (NANC) system employing a neural network (NN) based filtered-X least mean square algorithm is developed. NN-NANC with linear secondary path (LSP) and nonlinear secondary path (NSP) are unified using virtual secondary path concept. The developed NN-NANC system is also extended to incorporate(More)
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