Sparsity aware minimum error entropy algorithms


Sparse estimation has received a lot of attention due to its broad applicability. In sparse channel estimation, the parameter vector with sparsity characteristic can be well estimated from noisy measurements through sparse adaptive filters. In previous studies, most works use the mean square error (MSE) based cost to develop sparse filters, which is… (More)
DOI: 10.1109/ICASSP.2015.7178357


Cite this paper

@article{Ma2015SparsityAM, title={Sparsity aware minimum error entropy algorithms}, author={Wentao Ma and Hua Qu and Ji-hong Zhao and Badong Chen and Jos{\'e} Carlos Pr{\'i}ncipe}, journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2015}, pages={2179-2183} }