Non-negative least-mean-square algorithm
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[1] J. Yorke,et al. Chaos: An Introduction to Dynamical Systems , 1997 .
[2] Sergios Theodoridis,et al. Adaptive Learning in a World of Projections , 2011, IEEE Signal Processing Magazine.
[3] Ali H. Sayed,et al. Adaptive Filters , 2008 .
[4] R. Bro,et al. A fast non‐negativity‐constrained least squares algorithm , 1997 .
[5] Aarnout Brombacher,et al. Probability... , 2009, Qual. Reliab. Eng. Int..
[6] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[7] J. B. Rosen. The gradient projection method for nonlinear programming: Part II , 1961 .
[8] Michael W. Berry,et al. Algorithms and applications for approximate nonnegative matrix factorization , 2007, Comput. Stat. Data Anal..
[9] M. Bertero,et al. Nonnegative least-squares image deblurring: improved gradient projection approaches , 2010 .
[10] Paul H. Calamai,et al. Projected gradient methods for linearly constrained problems , 1987, Math. Program..
[11] J. Minkoff,et al. Comment on the "Unnecessary assumption of statistical independence between reference signal and filter weights in feedforward adaptive systems" , 2001, IEEE Trans. Signal Process..
[12] Robert M. May,et al. Simple mathematical models with very complicated dynamics , 1976, Nature.
[13] Jean-Marc Vesin,et al. Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements , 1999, IEEE Trans. Signal Process..
[14] Chih-Jen Lin,et al. On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization , 2007, IEEE Transactions on Neural Networks.
[15] José Carlos M. Bermudez,et al. An improved statistical analysis of the least mean fourth (LMF) adaptive algorithm , 2003, IEEE Trans. Signal Process..
[16] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[17] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[18] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[19] Chih-Jen Lin,et al. Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.
[20] M. V. Van Benthem,et al. Fast algorithm for the solution of large‐scale non‐negativity‐constrained least squares problems , 2004 .
[21] D. Brie,et al. Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling , 2006, IEEE Transactions on Signal Processing.
[22] J. Borwein,et al. Two-Point Step Size Gradient Methods , 1988 .
[23] Mark D. Plumbley. Algorithms for nonnegative independent component analysis , 2003, IEEE Trans. Neural Networks.
[24] H Lantéri,et al. A general method to devise maximum-likelihood signal restoration multiplicative algorithms with non-negativity constraints , 2001, Signal Process..