This paper presents FPGA implementations of an adaptive linear neural network (ADALINE) based adaptive filter for power-line noise cancellation in surface Electromyography (sEMG) …
K Nishikawa, H Kiya - 2000 10th European Signal Processing …, 2000 - ieeexplore.ieee.org
This paper proposes a method for increasing the throughput of recursive least squares (RLS) adaptive filters when only a few processing elements (PEs) are available. Throughput …
T Harada, M Muneyasu… - ISCAS 2001. The 2001 …, 2001 - ieeexplore.ieee.org
This paper proposes a pipeline implementation of quadratic adaptive Volterra filters based on NLMS algorithm for high-speed processing and low power consumption. This …
M Chakraborty, S Pervin - Signal processing, 2003 - Elsevier
This paper extends a recently proposed approach to pipeline an adaptive filter to the case of least mean square (LMS)-based adaptive decision feedback equalizer. It is shown that by …
K Nishikawa, H Kiya - IEICE transactions on fundamentals of …, 2000 - search.ieice.org
This paper proposes a fast implementation technique for RLS adaptive filters. The technique has an adjustable parameter to trade the throughput and the rate of convergence of the filter …
S Tenqchen, MC Sun, WS Feng - Proceedings of the 2000 …, 2000 - ieeexplore.ieee.org
A new architecture is proposed for the normalized delayless least mean squares (NDLMS) adaptive subband filter. The proposed architecture is based on the hardware-efficient …
T Niki, R Yamada, K Nishikawa… - Proceedings of the IEEK …, 2000 - koreascience.kr
This paper proposes a method that enables us to implement the recursive least squares (RLS) algorithm at, high throughput rate using fewer processing elements (PEs). It is known …