Distributed Field Estimation with One–bit Sensors

[1]  Lang Tong,et al.  The interplay between signal processing and networking in sensor networks , 2006, IEEE Signal Processing Magazine.

[2]  Nan Liu,et al.  Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks , 2006, 2006 IEEE International Symposium on Information Theory.

[3]  David L. Neuhoff,et al.  An Upper Bound to the Rate of Ideal Distributed Lossy Source Coding of Densely Sampled Data , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[4]  Mohammad Ilyas,et al.  Smart Dust , 2006 .

[5]  Ke Liu,et al.  On optimal parametric field estimation in sensor networks , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

[6]  Cathy H. Xia,et al.  Distributed source coding in dense sensor networks , 2005, Data Compression Conference.

[7]  Zhi-Quan Luo,et al.  Universal decentralized estimation in a bandwidth constrained sensor network , 2005, IEEE Transactions on Information Theory.

[8]  Urbashi Mitra,et al.  Estimating inhomogeneous fields using wireless sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[9]  Vinod M. Prabhakaran,et al.  Rate region of the quadratic Gaussian CEO problem , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[10]  K. Ramchandran,et al.  On distributed sampling of smooth non-bandlimited fields , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[11]  Michael Gastpar,et al.  To code, or not to code: lossy source-channel communication revisited , 2003, IEEE Trans. Inf. Theory.

[12]  Kannan Ramchandran,et al.  Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle" , 2003, IPSN.

[13]  Michael Gastpar,et al.  Source-Channel Communication in Sensor Networks , 2003, IPSN.

[14]  Mingyan Liu,et al.  On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data , 2003, IPSN.

[15]  J. Chou,et al.  Tracking and exploiting correlations in dense sensor networks , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[16]  Randy H. Katz,et al.  Next century challenges: mobile networking for “Smart Dust” , 1999, MobiCom.

[17]  Toby Berger,et al.  The CEO problem [multiterminal source coding] , 1996, IEEE Trans. Inf. Theory.

[18]  T. Berger,et al.  The quadratic Gaussian CEO problem , 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.

[19]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[20]  Elias Masry,et al.  The reconstruction of analog signals from the sign of their noisy samples , 1980, IEEE Trans. Inf. Theory.

[21]  Charalambos D. Aliprantis,et al.  Principles of Real Analysis , 1981 .

[22]  Stamatis Cambanis,et al.  Consistent estimation of continuous-time signals from nonlinear transformations of noisy samples , 1981, IEEE Trans. Inf. Theory.