Low complexity affine projection subband algorithm for robust adaptive filtering in impulsive noise
In this paper, a new subband affine projection algorithm is proposed, which is robust against impulsive noise and presents reduced computational complexity. A subband structure composed of sparse filters in a closed loop error configuration is used, and the update equation is derived by means of a minimum disturbance approach with a posteriori subband error constraints, employing a cost function that considered simultaneously all adaptive coefficients and the subband error components that are below adaptive thresholds. The performance of the proposed algorithm is evaluated in acoustic echo cancellation scenarios with impulsive noise.
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)