The quadratic gaussian CEO problem

IEEE Transactions on Information Theory

Volumn 43, Issue 5, 1997, Pages 1549-1559

  Viswanathan, Harish ^b   Berger, Toby ^a,b  

^a IEEE

^b Department of Obstetrics Gynecology   (United States)

Author keywords

Decentralized estimation; Fisher information; Gaussian source; Mean squared error; Multiterminal source coding

Indexed keywords

CODING ERRORS; DATA COMMUNICATION SYSTEMS; DECISION THEORY; FUNCTIONS; PROBLEM SOLVING; RANDOM PROCESSES; SIGNAL DISTORTION; SIGNAL ENCODING; SPURIOUS SIGNAL NOISE;

DECENTRALIZED ESTIMATION; FISHER INFORMATION; GAUSSIAN SOURCE; MEAN SQUARED ERROR; MULTITERMINAL SOURCE CODING;

INFORMATION THEORY;

EID: 0031237864     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.623151     Document Type: Article

References (18)

1. R. Ahlswede and M. V. Burnashev, "On minimax estimation in the presence of side information about remote data," Ann. Statist., vol. 18, no. 1, pp. 141-171, 1990.
2. S. Amari, "Fisher information under restriction of shannon information in multiterminal situations," Ann. Inst. Statist. Math., vol. 41, no. 4, pp. 623-648, 1989.
3. T. Berger, "Decentralized estimation and decision theory," presented at the IEEE 7th Springs Workshop in Information Theory, Mt. Kisco, NY, Sept. 1979.
4. _, Rate Distortion Theory: A Mathematical Basis for Data Compression (Series in Information and System Sciences). Englewood Cliffs, NJ: Prentice-Hall, 1971.
5. _, "Multiterminal source coding," in G. Longo, Ed., The Information Theory Approach to Communications (CISM Courses and Lectures). Vienna, New York: Springer-Verlag, 1978, pp. 171-231.
6. T. Berger and Z. Zhang, "On the CEO problem," presented at the IEEE Workshop in Information Theory, Hakone, Japan, June 1993 (recent results)
7. and at the IEEE International Symposium on Information Theory, Trondheim, Norway, June 1994.
8. T. Berger, Z. Zhang, and H. Viswanathan, "The CEO problem," IEEE Trans. Inform. Theory, vol. 42, pp. 887-902, May 1996.
9. R. E. Blahut, Principles and Practice of Information Theory. New York: Addison-Wesley, 1987.
10. I. Csiszar and J. Körner, Information Theory: Coding Theorems for Discrete Memoryless Systems. Budapest, New York: Academic, 1981.
11. T. S. Han and S. Amari, "Parameter estimation with multiterminal data compression," IEEE Trans. Inform. Theory, vol. 41, pp. 1802-1833, Nov. 1995.
12. C. Heegard and T. Berger, "Rate distortion when side information maybe absent," IEEE Trans. Inform. Theory, vol. IT-31, pp. 727-734, Nov. 1985.
13. J. Manyika and H. Durrant-Whyte, Data Fusion and Sensor Management (Electrical and Electronic Engineering Series), 1st ed. New York: Ellis Horwood, 1994.
14. D. Slepian and J. Wolf, "Noiseless coding of correlated information sources," IEEE Trans. Inform. Theory, vol. IT-19, pp. 471-480, 1973.
15. H. L. Van Trees. Detection, Estimation and Modulation Theory. New York: Wiley, 1963, ch. 2, p. 72.
16. A. Wyner, "A definition of conditional mutual information for arbitrary ensembles," Inform. Contr., vol. 38, no. 6, pp. 773-787, Nov. 1978.
17. _, "The rate-distortion function for source coding with side information at the decoder - II: General sources," Inform. Contr., vol. 38, no. 6, Nov. 1978.
18. Z. Zhang and T. Berger, "Estimation via compressed information," IEEE Trans. Inform. Theory, vol. 34, pp, 198-211, Mar. 1988.