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85
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Haihua Chen, Alex B. Gershman
91
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Identification of ARMA models using intermittent and quantized output observations
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Damián Marelli, Keyou You, Minyue Fu
104
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
112
Voted
AMDO
2006
Springer
15 years 4 months ago
Composition of Complex Motion Models from Elementary Human Motions
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of hum...
Jörg Moldenhauer, Ingo Boesnach, Thorsten Ste...
ICASSP
2008
IEEE
15 years 7 months ago
An information theoretic approach to processing management
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...
Christopher M. Kreucher, Kevin M. Carter