Seiichi Nakamori

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2008

27 EE Seiichi Nakamori: Square-root algorithms of RLS Wiener filter and fixed-point smoother in linear discrete stochastic systems. Applied Mathematics and Computation 203(1): 186-193 (2008)

26 EE Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, Raquel Caballero-Águila, Seiichi Nakamori: Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Applied Mathematics and Computation 203(1): 243-251 (2008)

25 EE Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information. IEICE Transactions 91-A(3): 809-817 (2008)

24 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Transactions 91-A(7): 1706-1712 (2008)

23 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Systems Science 39(2): 207-216 (2008)

22 EE José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo: Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Processing 88(12): 2998-3006 (2008)

2007

21 EE Seiichi Nakamori: Chandrasekhar-type recursive Wiener estimation technique in linear discrete-time stochastic systems. Applied Mathematics and Computation 188(2): 1656-1665 (2007)

20 EE Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems. Applied Mathematics and Computation 193(1): 162-174 (2007)

19 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, J. Jiménez-Carazo, Josefa Linares-Pérez: Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Processing 87(5): 970-982 (2007)

2006

18 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Applied Mathematics and Computation 176(2): 642-653 (2006)

17 EE Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems. Applied Mathematics and Computation 176(2): 662-672 (2006)

16 EE Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case. Digital Signal Processing 16(4): 369-388 (2006)

15 EE Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Least-Squares Linear Smoothers from Randomly Delayed Observations with Correlation in the Delay. IEICE Transactions 89-A(2): 486-493 (2006)

14 EE Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty. Signal Processing 86(10): 3012-3020 (2006)

2005

13 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Recursive estimators of signals from measurements with stochastic delays using covariance information. Applied Mathematics and Computation 162(1): 65-79 (2005)

12 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems. Applied Mathematics and Computation 165(3): 731-747 (2005)

11 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty. Digital Signal Processing 15(2): 207-221 (2005)

10 EE Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Fixed-Lag Smoothing Algorithm under Non-independent Uncertainty. IEICE Transactions 88-A(4): 988-995 (2005)

9 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: New recursive estimators from correlated interrupted observations using covariance information. Int. J. Systems Science 36(10): 617-629 (2005)

2004

8 Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, María Isabel Sánchez-Rodríguez: Estimation Algorithm from Randomly Delayed Observations with White Plus Coloured Noises. ICINCO (3) 2004: 19-23

7 Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations. ICINCO (3) 2004: 203-207

6 Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information. ICINCO (3) 2004: 307-311

5 Seiichi Nakamori, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Continuous-Time Signal Filtering from Non-Independent Uncertain Observations. ICINCO (3) 2004: 324-327

4 EE Seiichi Nakamori: New design of recursive Wiener fixed-lag smoother in linear discrete-time stochastic systems. Applied Mathematics and Computation 159(2): 303-315 (2004)

2003

3 EE Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Linear recursive discrete-time estimators using covariance information under uncertain observations. Signal Processing 83(7): 1553-1559 (2003)

2000

2 EE Seiichi Nakamori: Chandrasekhar-type filter using covariance information for white Gaussian plus colored observation noise. Signal Processing 80(9): 1959-1970 (2000)

1989

1 EE Seiichi Nakamori: Filtering Algorithm Based on Innovations Theory for White Gaussian Plus Colored Observation Noise. J. Inf. Sci. Eng. 5(2): 157-166 (1989)

2008
27	EE	Seiichi Nakamori: Square-root algorithms of RLS Wiener filter and fixed-point smoother in linear discrete stochastic systems. Applied Mathematics and Computation 203(1): 186-193 (2008)
26	EE	Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, Raquel Caballero-Águila, Seiichi Nakamori: Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Applied Mathematics and Computation 203(1): 243-251 (2008)
25	EE	Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information. IEICE Transactions 91-A(3): 809-817 (2008)
24	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Transactions 91-A(7): 1706-1712 (2008)
23	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Systems Science 39(2): 207-216 (2008)
22	EE	José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo: Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Processing 88(12): 2998-3006 (2008)
2007
21	EE	Seiichi Nakamori: Chandrasekhar-type recursive Wiener estimation technique in linear discrete-time stochastic systems. Applied Mathematics and Computation 188(2): 1656-1665 (2007)
20	EE	Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems. Applied Mathematics and Computation 193(1): 162-174 (2007)
19	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, J. Jiménez-Carazo, Josefa Linares-Pérez: Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Processing 87(5): 970-982 (2007)
2006
18	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Applied Mathematics and Computation 176(2): 642-653 (2006)
17	EE	Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems. Applied Mathematics and Computation 176(2): 662-672 (2006)
16	EE	Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case. Digital Signal Processing 16(4): 369-388 (2006)
15	EE	Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Least-Squares Linear Smoothers from Randomly Delayed Observations with Correlation in the Delay. IEICE Transactions 89-A(2): 486-493 (2006)
14	EE	Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty. Signal Processing 86(10): 3012-3020 (2006)
2005
13	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Recursive estimators of signals from measurements with stochastic delays using covariance information. Applied Mathematics and Computation 162(1): 65-79 (2005)
12	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems. Applied Mathematics and Computation 165(3): 731-747 (2005)
11	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty. Digital Signal Processing 15(2): 207-221 (2005)
10	EE	Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Fixed-Lag Smoothing Algorithm under Non-independent Uncertainty. IEICE Transactions 88-A(4): 988-995 (2005)
9	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: New recursive estimators from correlated interrupted observations using covariance information. Int. J. Systems Science 36(10): 617-629 (2005)
2004
8		Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, María Isabel Sánchez-Rodríguez: Estimation Algorithm from Randomly Delayed Observations with White Plus Coloured Noises. ICINCO (3) 2004: 19-23
7		Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations. ICINCO (3) 2004: 203-207
6		Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information. ICINCO (3) 2004: 307-311
5		Seiichi Nakamori, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez: Continuous-Time Signal Filtering from Non-Independent Uncertain Observations. ICINCO (3) 2004: 324-327
4	EE	Seiichi Nakamori: New design of recursive Wiener fixed-lag smoother in linear discrete-time stochastic systems. Applied Mathematics and Computation 159(2): 303-315 (2004)
2003
3	EE	Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez: Linear recursive discrete-time estimators using covariance information under uncertain observations. Signal Processing 83(7): 1553-1559 (2003)
2000
2	EE	Seiichi Nakamori: Chandrasekhar-type filter using covariance information for white Gaussian plus colored observation noise. Signal Processing 80(9): 1959-1970 (2000)
1989
1	EE	Seiichi Nakamori: Filtering Algorithm Based on Innovations Theory for White Gaussian Plus Colored Observation Noise. J. Inf. Sci. Eng. 5(2): 157-166 (1989)

Coauthor Index

1 Raquel Caballero-Águila [3] [6] [7] [9] [11] [12] [13] [18] [19] [22] [23] [24] [26]

2 María J. García-Ligero [17] [25]

3 Aurora Hermoso-Carazo [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [22] [23] [24] [25] [26]

4 J. Jiménez-Carazo [19]

5 José D. Jiménez-López [5] [18] [22] [23] [24] [26]

6 Josefa Linares-Pérez [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [22] [23] [24] [25] [26]

7 María Isabel Sánchez-Rodríguez [8]

1	Raquel Caballero-Águila	[3] [6] [7] [9] [11] [12] [13] [18] [19] [22] [23] [24] [26]
2	María J. García-Ligero	[17] [25]
3	Aurora Hermoso-Carazo	[3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [22] [23] [24] [25] [26]
4	J. Jiménez-Carazo	[19]
5	José D. Jiménez-López	[5] [18] [22] [23] [24] [26]
6	Josefa Linares-Pérez	[3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [22] [23] [24] [25] [26]
7	María Isabel Sánchez-Rodríguez	[8]