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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-571
Full Name: Yuan-ping Li
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 135, Yuan-Tung Rd., Chungli City 32026
Country: TAIWAN
Tel: +886-3-4638800 Ext.7011/833
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E-mail address: s909107@mail.yzu.edu.tw
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Title of the Paper: lms algorithm with an adaptive neural network cost function
Authors as they appear in the Paper: Jeng-kuang Hwang, Yuan-ping Li
Email addresses of all the authors: eejhwang@saturn.yzu.edu.tw, s909107@mail.yzu.edu.tw
Number of paper pages: 10
Abstract: We propose a new LMS algorithm with an adaptive neural network cost function (ANNCFLMS) for application to unknown channel estimation or system identification. The algorithm employs the weighted average of a neural network with two input signals¡Xthe squared errors at adjacent time intervals¡Xto modify the cost function and update the respective weight according to a gradient descent algorithm designed to track the minimum mean squared error (MSE). For fast convergence, the step-size updates recursively until the modified cost function attains its minimum value. Simulation results demonstrate that the proposed algorithm converges faster and is especially robust in low-SNR or colored input environments.
Keywords: Adaptive filters, Neural network, Least mean square (LMS), Variable step-size, , Channel estimation
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