A new normalized least mean square(NLMS) adaptive filter is first derived from a cost function, which incorporates the conventional one of the NLMS with a minimum-disturbance(MD)constraint. A variable regularization f...A new normalized least mean square(NLMS) adaptive filter is first derived from a cost function, which incorporates the conventional one of the NLMS with a minimum-disturbance(MD)constraint. A variable regularization factor(RF) is then employed to control the contribution made by the MD constraint in the cost function. Analysis results show that the RF can be taken as a combination of the step size and regularization parameter in the conventional NLMS. This implies that these parameters can be jointly controlled by simply tuning the RF as the proposed algorithm does. It also demonstrates that the RF can accelerate the convergence rate of the proposed algorithm and its optimal value can be obtained by minimizing the squared noise-free posteriori error. A method for automatically determining the value of the RF is also presented, which is free of any prior knowledge of the noise. While simulation results verify the analytical ones, it is also illustrated that the performance of the proposed algorithm is superior to the state-of-art ones in both the steady-state misalignment and the convergence rate. A novel algorithm is proposed to solve some problems. Simulation results show the effectiveness of the proposed algorithm.展开更多
本研究从美人蕉属植物根际土壤中筛选获得一株产酸菌株,经形态学、生理生化特征研究和16S rRNA基因序列分析,鉴定为一株植物乳杆菌,命名为Lactobacillus plantarum SYBC psL;以香蕉为原料,将Lactobacillus plantarum SYBC psL应用于香...本研究从美人蕉属植物根际土壤中筛选获得一株产酸菌株,经形态学、生理生化特征研究和16S rRNA基因序列分析,鉴定为一株植物乳杆菌,命名为Lactobacillus plantarum SYBC psL;以香蕉为原料,将Lactobacillus plantarum SYBC psL应用于香蕉饮料发酵,结果表明,当香蕉与水比例为1∶2、蜂蜜添加量为2.0%时,氨基酸、乳酸和黄酮的含量明显升高;当果葡糖浆添加量为10%时,产品酵素的黏度适当、酸甜适口,具有较高的稳定性。展开更多
基金supported by the National Natural Science Foundation of China(61571131 11604055)
文摘A new normalized least mean square(NLMS) adaptive filter is first derived from a cost function, which incorporates the conventional one of the NLMS with a minimum-disturbance(MD)constraint. A variable regularization factor(RF) is then employed to control the contribution made by the MD constraint in the cost function. Analysis results show that the RF can be taken as a combination of the step size and regularization parameter in the conventional NLMS. This implies that these parameters can be jointly controlled by simply tuning the RF as the proposed algorithm does. It also demonstrates that the RF can accelerate the convergence rate of the proposed algorithm and its optimal value can be obtained by minimizing the squared noise-free posteriori error. A method for automatically determining the value of the RF is also presented, which is free of any prior knowledge of the noise. While simulation results verify the analytical ones, it is also illustrated that the performance of the proposed algorithm is superior to the state-of-art ones in both the steady-state misalignment and the convergence rate. A novel algorithm is proposed to solve some problems. Simulation results show the effectiveness of the proposed algorithm.
文摘本研究从美人蕉属植物根际土壤中筛选获得一株产酸菌株,经形态学、生理生化特征研究和16S rRNA基因序列分析,鉴定为一株植物乳杆菌,命名为Lactobacillus plantarum SYBC psL;以香蕉为原料,将Lactobacillus plantarum SYBC psL应用于香蕉饮料发酵,结果表明,当香蕉与水比例为1∶2、蜂蜜添加量为2.0%时,氨基酸、乳酸和黄酮的含量明显升高;当果葡糖浆添加量为10%时,产品酵素的黏度适当、酸甜适口,具有较高的稳定性。
