[1]
|
S. Nakamori, “Recursive Estimation Technique of Signal from Output Measurement Data in Linear Discrete-Time Systems,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E78-A, No. 5, 1995, pp. 600-607.
|
[2]
|
S. Nakamori, “Chandrasekhar-Type Recursive Wiener Estimation Technique in Linear Discrete-Time Systems,” Applied Mathematics and Computation, Vol. 188, No. 2, 2007, pp. 1656-1665. doi:10.1016/j.amc.2006.11.021
|
[3]
|
S. Nakamori, “Square-Root Algorithms of RLS Wiener Filter and Fixed-Point Smoother in Linear Discrete Stochastic Systems,” Applied Mathematics and Computation, Vol. 203, No. 1, 2008, pp. 186-193.
doi:10.1016/j.amc.2008.04.026
|
[4]
|
S. Nakamori, A. Hermoso-Carazo and J. Linares-P’erez, “Design of RLS Wiener Fixed-Lag Smoother Using Covariance Information in Linear Discrete Stochastic Systems,” Applied Mathematical Modelling, Vol. 32, No. 7, 2008, pp. 1338-1349. doi:10.1016/j.apm.2007.04.008
|
[5]
|
S. Nakamori, “Design of RLS Wiener FIR Filter Using Covariance Information in Linear Discrete-Time Stochastic Systems,” Digital Signal Processing, Vol. 20, No. 5, 2010, pp. 1310-1329. doi:10.1016/j.dsp.2010.01.001
|
[6]
|
S. Boll, “Suppression of Acoustic Noise in Speech Using Spectral Subtraction,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 27, No. 2, 1979, pp. 113-120. doi:10.1109/TASSP.1979.1163209
|
[7]
|
S. S. Xiong and Z. Y. Zhou, “Neural Filtering of Colored Noise Based on Kalman Filter Structure,” IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 3, 2003, pp. 742-747. doi:10.1109/TIM.2003.814669
|
[8]
|
D. Simon, “Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches,” Wiley, New York, 2006.
doi:10.1002/0470045345
|
[9]
|
F. Must’iere, M. Boli’c and M. Bouchad, “Improved Colored Noise Handling in Kalman Filter-Based Speech Enhancement Algorithms,” Canadian Conference on Electrical Computer Engineering, Niagara Falls, 4-7 May 2008, pp. 497-500.
|
[10]
|
S. Park and S. Choi, “A Constrained Sequential EM Algorithm for Speech Enhancement,” Neural Networks, Vol. 21, No. 9, 2008, pp. 1401-1409.
doi:10.1016/j.neunet.2008.03.001
|
[11]
|
S. Nakamori, “Estimation of Signal and Parameters Using Covariance Information in Linear Continuous Systems,” Mathematical and Computer Modeling, Vol. 16, No. 10, 1992, pp. 3-15. doi:10.1016/0895-7177(92)90056-Q
|
[12]
|
A. Mahmoudi and M. Karimi, “Parameter Estimation of Autoregressive Signals from Observations Corrupted with Colored Noise,” Signal Processing, Vol. 90, No. 1, 2010, pp. 157-164. doi:10.1016/j.sigpro.2009.06.005
|
[13]
|
A. P. Sage and J. L. Melsa, “Estimation Theory with Applications to Communications and Control,” McGraw-Hill, New York, 1971.
|