By Princeton Review
EPub eISBN: 9781101881866
TPB ISBN: 9780804125994
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Extra resources for Cracking the New SAT (Premium Edition, 2016 Edition)
9, pp. 2192–2208, Sep. 2003.  A. Ben-Israel and T. N. E. Greville, Generalized Inverses: Theory and Applications, Second ed. New York: Wiley, 2002.  C. K. Chui and G. Chen, Kalman Filtering With Real-Time Applications. New York: Springer-Verlag, 1987.  S. Grime and H. F. Durrant-Whyte, “Data fusion in decentralized sensor networks,” Control Eng. Practice, vol. 2, no. 5, pp. 849–863, 1994.  Y. M. Zhu, “Efficient recursive state estimator for dynamic systems without knowledge of noise covariances,” IEEE Trans.
TLFeBOOK 1630 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 5, MAY 2005  J. M. Oller, “On an intrinsic bias measure,” in Stability Problems for Stochastic Models, V. V. Kalashnikov and V. M. Zolotarev, Eds. Berlin, Germany: Springer-Verlag, 1991, Lecture Notes in Mathematics 1546, pp. 134–158.  J. M. Oller and J. M. Corcuera, “Intrinsic analysis of statistical estimation,” Ann. , vol. 23, no. 5, pp. 1562–1581, Oct. 1995.  D. Petz, “Covariance and Fisher information in quantum mechanics,” J.
His main research interests are in information fusion, including probability theory, statistics, and matrix theory. S. degree in digital signal processing from Sichuan University, Chengdu, China, in 1968. He was a visiting scholar at Michigan State University, East Lansing, from 1981 to 1983. He is now a Professor and Director of the Institute of Image and Graphics, Sichuan University. His research interests include signal processing, pattern recognition, image processing and machine vision, and system simulation.