An adaptive support vector machine decision feedback equalizer（ASVM-DFE） based on the least square support vector machine（LS-SVM） is proposed,it solves linear system iteratively with less computational intensity.A...An adaptive support vector machine decision feedback equalizer（ASVM-DFE） based on the least square support vector machine（LS-SVM） is proposed,it solves linear system iteratively with less computational intensity.An adaptive non-singleton fuzzy support vector machine decision feedback equalizer（ANSFSVMDFE） is also presented,it adopts the non-singleton fuzzy Gaussian kernel function with similar characteristic of pre-filter and is modified with a space transformation based approach.Simulations under nonlinear time variant channels show that ASVM-DFE and ANSFSVM-DFE perform very well on nonlinear equalization and ANSFSVM-DFE acts especially well in resisting abrupt interference.展开更多
A new equalization method is proposed in this paper for severely nonlinear distorted channels. The structure of decision feedback is adopted for the non-singleton fuzzy regular neural network that is trained by gradie...A new equalization method is proposed in this paper for severely nonlinear distorted channels. The structure of decision feedback is adopted for the non-singleton fuzzy regular neural network that is trained by gradient-descent algorithm. The model shows a much better performance on anti-jamming and nonlinear classification, and simulation is carried out to compare this method with other nonlinear channel equalization methods. The results show the method has the least bit error rate （BER）.展开更多
逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提...逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提出了基于反馈外延外包络的DFE决策方法。通过土壤肥力评级的实例验证了该方法的有效性和可行性。展开更多
文摘An adaptive support vector machine decision feedback equalizer（ASVM-DFE） based on the least square support vector machine（LS-SVM） is proposed,it solves linear system iteratively with less computational intensity.An adaptive non-singleton fuzzy support vector machine decision feedback equalizer（ANSFSVMDFE） is also presented,it adopts the non-singleton fuzzy Gaussian kernel function with similar characteristic of pre-filter and is modified with a space transformation based approach.Simulations under nonlinear time variant channels show that ASVM-DFE and ANSFSVM-DFE perform very well on nonlinear equalization and ANSFSVM-DFE acts especially well in resisting abrupt interference.
文摘A new equalization method is proposed in this paper for severely nonlinear distorted channels. The structure of decision feedback is adopted for the non-singleton fuzzy regular neural network that is trained by gradient-descent algorithm. The model shows a much better performance on anti-jamming and nonlinear classification, and simulation is carried out to compare this method with other nonlinear channel equalization methods. The results show the method has the least bit error rate （BER）.
文摘逆向思维是决策中常用的一种思维方法,但目前的反馈外延决策方法(Decision-making of Feedback Extension,DFE)均未考虑这一点。为此,在因素空间理论基础上,从对立概念角度出发构造了一种概念的外延逼近即反馈外延外包络,在此基础上提出了基于反馈外延外包络的DFE决策方法。通过土壤肥力评级的实例验证了该方法的有效性和可行性。
