S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," Proc. of Data Compression Conference (DCC), pp. 363-372, Mar. 2000. Home/Search Document Details and Download
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Distributed Compression In Dense Sensor Networks - Pradhan, Kusuma, Ramchandran (2002) (4 citations) (Correct)
....Fortuitously, the asymmetric DISCUS framework can be extended to the symmetric case, which can be shown to incur no performance loss with respect to the asymmetric version, and this can be done at the same computational complexity. We will not detail this here and instead refer the reader to [19]. In addition to the conventional symmetric distributed compression problem, a problem of interest for sensor networks involves optimal sensor fusion under bandwidth constraints, which we now consider. Consider the sensor communication [20] system shown in Fig. 5. Here, a number of sensors observe ....
S.S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in Proc. IEEE Data Compression Conf., Snowbird, UT, Mar. 2000, pp. 363-372.
On the Interdependence of Routing and Data Compression in.. - Scaglione, Servetto (2002) (20 citations) (Correct)
....cuts to analyze information theoretic capacity problems in networks have been proposed in [1] 5, Ch. 14.10] In this context, those techniques provide an alternative interpretation for the Gupta Kumar results [9] distributed source coding techniques, that has attracted some attention recently [11, 12, 15], as multi hop sensor networks appear to be the killer application for some of these well established theoretical results. The second one is a combination of classical source coding methods and routing algorithms which, to the best of our knowledge, has not been explored before. Distributed ....
S. S. Pradhan and K. Ramchandran. Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks. In Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, 2000.
Joint Entropy-Constrained Multiterminal Quantization - Cardinal, Van Assche (2002) (Correct)
....the cascaded SW coder during the quantizer design, just as entropy constrained quantizers [4] perform better than lattice quantizers. Fleming and E#ros [5] recently proposed a unifying framework in which the fixed rate version of the direct coding problem is treated. Pradhan and Ramchandran [6] propose a solution for the remote coding problem using linear codes. An early approach of fixed rate quantizer design for remote coding can be found in a paper by Flynn and Gray [7] II. Optimality Conditions We use the notations I = #X (X) J = # Y (Y ) The achievable rates for SW coding of ....
S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in Proc. IEEE Data Compression Conf., 2000, pp. 363--372.
Algorithms for Position and Data Recovery in Wireless Sensor.. - Doherty (2000) (12 citations) (Correct)
....limit. Compression algorithms abound have been explored for a variety of purposes, not the least of which are JPEG and MPEG standards for spatial and spatio temporal compression respectively. Trellisbased coding and symmetric code compression can be used to compress data sequences further [23] in the blind correlation regime. It may be worthwhile to use basis functions as an approximation to a data field with low required bandwidth, the choice of basis functions would have to be appropriate each sensor scenario e.g. tracking and temperature monitoring may not be possible with the ....
....Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy Efficient Communication Protocol for Wireless Microsensor Networks , Hawaii International Conference on System Sciences, Maui, HI, Jan. 2000. 22] Grupo de Tratamiento de Imgenes, http: www.gti.ssr.upm.es vadis faq MPEG huffman tutorial.html. [23] S. S. Pradhan, K. Ramchandran, Distributed source coding: Symmetric rates and applications to sensor networks , IEEE Computer Society Conference on Data Compression (DCC 00) Mar. 2000. 28 Chapter 5 Tracking in a Sparse Network I. INTRODUCTION This chapter describes the use of a wireless ....
S. S. Pradhan, K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks", IEEE Computer Society Conference on Data Compression (DCC'00), Mar. 2000.
Rate-constrained Robust Estimation for Unreliable.. - Puri, Ishwar.. (2002) Self-citation (Pradhan Ramchandran) (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks, " Proceedings of the Data Compression Conference (DCC), March, Snowbird, UT, 2000.
A New Coding Scheme for the Noisy-Channel Slepian-Wolf - Problem Separate Design (2004) (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," Proc. of Data Compression Conference (DCC), pp. 363-372, Mar. 2000.
ON COMPRESSION USING THE DISTRIBUTED KARHUNEN-LO EVE.. - Department Of Eecs (Correct)
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S.S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor network," in Data Compression Conference, Snowbird, Utah, March 2000, pp. 363--372.
Symmetric and a-symmetric Slepian-Wolf codes - With Systematic And (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in IEEE International Conference on Data Compression (DCC), 2000, pp. 363--372.
A Computational Approach to the Joint Design of - Distributed Data Compression (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in IEEE Data Compression Conference (DCC), Snowbird, Utah, March 2000.
Correlated Sources over Wireless Channels: Cooperative.. - Murugan, Gopala, Gamal (Correct)
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S. Pradhan and K. Ramchandran. Distributed source coding: Symmetric rates and applications to sensor networks. In IEEE Data Compression Conference, pages 363--372, March 2000.
Joint Entropy-Constrained Multiterminal Quantization - Cardinal, Van Assche (2002) (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in Proc. IEEE Data Compression Conf., 2000, pp. 363--372.
Lattice Quantization with Side Information: Codes, Asymptotics.. - Servetto (2004) (Correct)
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S. S. Pradhan and K. Ramchandran. Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks. In Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, 2000.
On the Interdependence of Routing and Data Compression in.. - Anna Scaglione Sergio (2002) (20 citations) (Correct)
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S. S. Pradhan and K. Ramchandran. Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks. In Proc. IEEE Data Compression Conf. (DCC), Snowbird, UT, 2000.
Data-Gathering Wireless Sensor Networks: Organization and.. - Duarte-Melo, Liu (2003) (Correct)
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S. S. Pradhan, K. Ramchandran, Distributed source coding: Symmetric rates and applications to sensor networks, in: IEEE Data Compression Conference (DCC), Snowbird, Utah, 2000.
A Modeling Framework for Computing Lifetime and.. - Duarte-Melo, Liu, Misra (Correct)
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S. S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor networks," in IEEE Data Compression Conference (DCC), Snowbird, Utah, March 2000.
The Distributed Karhunen-Loève Transform - Gastpar, Dragotti, Vetterli (2003) (Correct)
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S. Pradhan and K. Ramchandran, "Distributed source coding: Symmetric rates and applications to sensor network," in Data Compression Conference, (Snowbird, Utah), pp. 363--372, March 2000.
Geometric Programming Duals of - Channel Capacity And (Correct)
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S. Pradhan and K. Ramchandran, "Distributed source coding: symmetric rates and applications to sensor networks," Proc. IEEE DCC, March 2000.
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