Performance analysis of parameter estimation of superimposed signals by dynamic programming

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150126 ◽

1991 ◽

Author(s):

S.F. Yau ◽

Y. Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Performance Analysis ◽

Superimposed Signals

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Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals

IEEE Transactions on Signal Processing ◽

10.1109/78.839975 ◽

2000 ◽

Vol 48 (5) ◽

pp. 1274-1286

Author(s):

Sze Fong Yau ◽

Y. Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Performance Analysis ◽

Approximate Dynamic Programming ◽

Dynamic Programming Algorithm ◽

Programming Algorithm ◽

Superimposed Signals

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Maximum likelihood parameter estimation of superimposed signals by dynamic programming

IEEE Transactions on Signal Processing ◽

10.1109/78.193219 ◽

1993 ◽

Vol 41 (2) ◽

pp. 804-820 ◽

Author(s):

S.F. Yau ◽

Y. Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Maximum Likelihood ◽

Superimposed Signals

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Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming — An approximate method

Signal Processing ◽

10.1016/0165-1684(92)90087-d ◽

1992 ◽

Vol 29 (3) ◽

pp. 283-298 ◽

Author(s):

Sze Fong Yau ◽

Yoram Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Maximum Likelihood ◽

Approximate Method ◽

Subspace Fitting ◽

Superimposed Signals

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On the robustness of parameter estimation of superimposed signals by dynamic programming

IEEE Transactions on Signal Processing ◽

10.1109/78.542440 ◽

1996 ◽

Vol 44 (11) ◽

pp. 2825-2836 ◽

Author(s):

Sze Fong Yau ◽

Y. Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Superimposed Signals

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Parameter estimation of superimposed signals by dynamic programming

10.1109/icassp.1990.116104 ◽

2002 ◽

Author(s):

S.F. Yau ◽

Y. Bresler

Keyword(s):

Dynamic Programming ◽

Parameter Estimation ◽

Superimposed Signals

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Performance analysis of missile-borne SAR moving target parameter estimation by usingWigner-Ville Hough transform

Information Technology and Computer Application Engineering ◽

10.1201/b15936-42 ◽

2013 ◽

pp. 183-186

Keyword(s):

Parameter Estimation ◽

Performance Analysis ◽

Hough Transform ◽

Moving Target ◽

Target Parameter

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Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay

Circuits Systems and Signal Processing ◽

10.1007/s00034-012-9463-5 ◽

2012 ◽

Vol 32 (2) ◽

pp. 585-599 ◽

Author(s):

Feng Ding ◽

Ya Gu

Keyword(s):

Parameter Estimation ◽

Performance Analysis ◽

Estimation Algorithm ◽

Space Systems ◽

State Delay ◽

Auxiliary Model ◽

Parameter Estimation Algorithm ◽

One Step ◽

Gradient Parameter ◽

State Space Systems

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Performance Analysis of Joint Parameter Estimation for Distributed Radar Networks under a General Model

IET International Radar Conference 2015 ◽

10.1049/cp.2015.1389 ◽

2015 ◽

Author(s):

Jianbin Hu Jianbin Hu ◽

Qian He Qian He ◽

R.S. Blum ◽

Yonggang Wu Yonggang Wu

Keyword(s):

Parameter Estimation ◽

Performance Analysis ◽

General Model ◽

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Performance analysis of multi-resolution symmetric dynamic programming stereo on GPU

2010 25th International Conference of Image and Vision Computing New Zealand ◽

10.1109/ivcnz.2010.6148865 ◽

2010 ◽

Author(s):

Ratheesh Kalarot ◽

John Morris ◽

Georgy Gimel'farb

Keyword(s):

Dynamic Programming ◽

Performance Analysis

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Inertial Parameter Estimation of an Excavator with Adaptive Updating Rule Using Performance Analysis of Kalman Filter

International Journal of Control Automation and Systems ◽

10.1007/s12555-017-0087-1 ◽

2018 ◽

Vol 16 (3) ◽

pp. 1226-1238 ◽

Author(s):

Kwang-seok Oh ◽

Ja-ho Seo

Keyword(s):

Parameter Estimation ◽

Kalman Filter ◽

Performance Analysis ◽

Inertial Parameter ◽

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