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Chundong Xu, Qinglin Li and Dongwen Ying
In this paper, we develop a modified adaptive combination strategy for the distributed estimation problem over diffusion networks. We still consider the online adaptive combiners estimation problem from the perspective of minimum variance unbiased estima...
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Syuan-Yi Chen, Zi-Jie Chien, Wei-Yen Wang and Hsin-Han Chiang
Linear motors (LMs) are widely used in numerous industry automation where precise and fast motions are required to convert electric energy into linear actuation without the need of any switching mechanism. This study aims to develop a control strategy of...
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Ali Dehghan Firoozabadi, Pablo Irarrazaval, Pablo Adasme, David Zabala-Blanco, Hugo Durney, Miguel Sanhueza, Pablo Palacios-Játiva and Cesar Azurdia-Meza
Speech enhancement is one of the most important fields in audio and speech signal processing. The speech enhancement methods are divided into the single and multi-channel algorithms. The multi-channel methods increase the speech enhancement performance b...
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Ángel A. Vázquez, Eduardo Pichardo, Juan G. Avalos, Giovanny Sánchez, Hugo M. Martínez, Juan C. Sánchez and Héctor M. Pérez
Affine projection (AP) algorithms have been demonstrated to have faster convergence speeds than the conventional least mean square (LMS) algorithms. However, LMS algorithms exhibit smaller steady-state mean square errors (MSEs) when compared with affine ...
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Alexandru-George Rusu, Silviu Ciochina, Constantin Paleologu and Jacob Benesty
Adaptive algorithms with differential step-sizes (related to the filter coefficients) are well known in the literature, most frequently as ?proportionate? algorithms. Usually, they are derived on a heuristic basis. In this paper, we introduce an algorith...
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