Sensing reality and communicating bits: a dangerous liaison
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[1] H. Vincent Poor,et al. Distributed learning in wireless sensor networks , 2005, IEEE Signal Processing Magazine.
[2] E. Adelson,et al. The Plenoptic Function and the Elements of Early Vision , 1991 .
[3] Anthony Ephremides,et al. Information Theory and Communication Networks: An Unconsummated Union , 1998, IEEE Trans. Inf. Theory.
[4] K. Ramchandran,et al. Distributed video coding in wireless sensor networks , 2006, IEEE Signal Processing Magazine.
[5] Aaron D. Wyner,et al. The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.
[6] Kannan Ramchandran,et al. Distributed source coding using syndromes (DISCUS): design and construction , 2003, IEEE Trans. Inf. Theory.
[7] Harry Shum,et al. Plenoptic sampling , 2000, SIGGRAPH.
[8] Jack K. Wolf,et al. Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.
[9] Cathy H. Xia,et al. Distributed source coding in dense sensor networks , 2005, Data Compression Conference.
[10] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[11] Michael Gastpar,et al. Correction of "The Distributed Karhunen - Loeve Transform" , 2007 .
[12] 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.
[13] Zhi-Quan Luo,et al. Multiterminal Source-Channel Communication Under Orthogonal Multiple Access , 2005 .
[14] Thierry Blu,et al. Sampling signals with finite rate of innovation , 2002, IEEE Trans. Signal Process..
[15] Bernd Girod,et al. Compression with side information using turbo codes , 2002, Proceedings DCC 2002. Data Compression Conference.
[16] Thomas M. Cover,et al. A Proof of the Data Compression Theorem of Slepian and Wolf for Ergodic Sources , 1971 .
[17] Aaron D. Wyner,et al. Recent results in the Shannon theory , 1974, IEEE Trans. Inf. Theory.
[18] Martin Vetterli,et al. On the Multiterminal Rate-Distortion Function for Acoustic Sensing , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[19] Kannan Ramchandran,et al. Distributed source coding: symmetric rates and applications to sensor networks , 2000, Proceedings DCC 2000. Data Compression Conference.
[20] Michael Gastpar,et al. The distributed Karhunen-Loeve transform , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..
[21] G.B. Giannakis,et al. Distributed compression-estimation using wireless sensor networks , 2006, IEEE Signal Processing Magazine.
[22] David L. Neuhoff,et al. Reliability vs. efficiency in distributed source coding for field-gathering sensor networks , 2004, IPSN.
[23] Te Sun Han,et al. Slepian-Wolf-Cover Theorem for Networks of Channels , 1980, Inf. Control..
[24] Michael Gastpar,et al. On the capacity of wireless networks: the relay case , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.
[25] P.K. Varshney,et al. Channel-aware distributed detection in wireless sensor networks , 2006, IEEE Signal Processing Magazine.
[26] Ying Zhao,et al. Compression of correlated binary sources using turbo codes , 2001, IEEE Communications Letters.
[27] Arunabha Bagchi,et al. On the estimation and compression of distributed correlated signals with incomplete observations , 2003 .
[28] Don H. Johnson,et al. Array Signal Processing: Concepts and Techniques , 1993 .
[29] Masoud Salehi,et al. Multiple access channels with arbitrarily correlated sources , 1980, IEEE Trans. Inf. Theory.
[30] T. Ajdler,et al. The Plenacoustic Function and Its Sampling , 2006, IEEE Transactions on Signal Processing.
[31] Zhen Zhang,et al. On the CEO problem , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.
[32] Cindy C. Parman,et al. To code, or not to code? , 2003, The Journal of oncology management : the official journal of the American College of Oncology Administrators.
[33] Yasutada Oohama,et al. The Rate-Distortion Function for the Quadratic Gaussian CEO Problem , 1998, IEEE Trans. Inf. Theory.
[34] Pier Luigi Dragotti,et al. Distributed sampling and compression of scenes with finite rate of innovation in camera sensor networks , 2006, Data Compression Conference (DCC'06).
[35] Baltasar Beferull-Lozano,et al. Rate-distortion problem for physics based distributed sensing , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[36] M. Alanyali,et al. Search and discovery in an uncertain networked world , 2006, IEEE Signal Processing Magazine.
[37] Panganamala Ramana Kumar,et al. RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .
[38] Kannan Ramchandran,et al. Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle" , 2003, IPSN.
[39] Toby Berger,et al. The CEO problem [multiterminal source coding] , 1996, IEEE Trans. Inf. Theory.
[40] Krishnan Eswaran,et al. Remote Source Coding and AWGN CEO Problems , 2006 .
[41] M. Unser. Sampling-50 years after Shannon , 2000, Proceedings of the IEEE.
[42] João Barros,et al. Network information flow with correlated sources , 2005, IEEE Transactions on Information Theory.
[43] Pier Luigi Dragotti,et al. Symmetric and asymmetric Slepian-Wolf codes with systematic and nonsystematic linear codes , 2005, IEEE Communications Letters.
[44] Michael Gastpar,et al. On the capacity of large Gaussian relay networks , 2005, IEEE Transactions on Information Theory.
[45] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[46] Kannan Ramchandran,et al. Distributed source coding using syndromes (DISCUSS): design and construction , 1999 .
[47] Zixiang Xiong,et al. Design of Slepian-Wolf codes by channel code partitioning , 2004, Data Compression Conference, 2004. Proceedings. DCC 2004.
[48] Lang Tong,et al. The interplay between signal processing and networking in sensor networks , 2006, IEEE Signal Processing Magazine.
[49] Yasutada Oohama. Gaussian multiterminal source coding , 1997, IEEE Trans. Inf. Theory.
[50] D. Marco,et al. Reliability vs. efficiency in distributed source coding for field-gathering sensor networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[51] Michael Gastpar,et al. On The Significance Of Binning In A Scaling-law Sense , 2006, 2006 IEEE Information Theory Workshop - ITW '06 Punta del Este.
[52] A.S. Willsky,et al. Distributed fusion in sensor networks , 2006, IEEE Signal Processing Magazine.
[53] Michael Gastpar,et al. Power, spatio-temporal bandwidth, and distortion in large sensor networks , 2005, IEEE Journal on Selected Areas in Communications.
[54] Martin J. Wainwright,et al. Distributed fusion in sensor networks: a graphical models perspective , 2006 .
[55] Zixiang Xiong,et al. Compression of binary sources with side information at the decoder using LDPC codes , 2002, IEEE Communications Letters.
[56] Pier Luigi Dragotti,et al. Dfferent - distributed and fully flexible image encoders for camera sensor networks , 2005, IEEE International Conference on Image Processing 2005.