Titlebook: Efficient Online Learning Algorithms for Total Least Square Problems; Xiangyu Kong,Dazheng Feng Book 2024 Science Press 2024 TLS.Total Lea

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Approximate Inverse Power Iteration TLS Algorithm,The aim of this chapter is to develop more efficient fast recursive TLS algorithm for adaptive FIR filtering. In this chapter, we study the problem of adaptive FIR filtering in the TLS framework

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Neural-Based MCA Algorithms for Adaptive TLS,From Chap. 3, it is known that the TLS solution . of an over-determined linear equations . can be obtained by ., where . is the right singular vector associated with the smallest singular value of ..

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Xiangyu Kong,Dazheng FengDevelopments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering.Reviews the basic TLS algorithms and derives novel method with detailed steps.Provides detailed

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Engineering Applications of Computational Methodshttp://image.papertrans.cn/f/image/320482.jpg

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https://doi.org/10.1057/9781137031556 orthogonal data fitting-the EXIN neural networks. John Wiley & Sons Inc, Publication, 2010), who considered an approximate method for solving the matrix equation .?=?. when in both . and . there exist errors.

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Exploring Numeracy-Rich Rhymes and Storiesmputational complexity compared with other iterative methods, which make them more suitable in real-time application. There are three neural ways of solving TLS problem: (1) One is a neural network for the SVD, which finds the right singular vector associated with the smallest singular value of the