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- Alexandros G. Dimakis, Brighten Godfrey, Yunnan Wu, Martin J. Wainwright, Kannan Ramchandran
- IEEE Transactions on Information Theory
- 2007

Distributed storage systems provide reliable access to data through redundancy spread over individually unreliable nodes. Application scenarios include data centers, peer-to-peer storage systems, and storage in wireless networks. Storing data using an erasure code, in fragments spread across nodes, requires less redundancy than simple replication for the… (More)

- S. Sandeep Pradhan, Kannan Ramchandran
- Data Compression Conference
- 1999

- Mehmet Kivanç Mihçak, Igor Kozintsev, Kannan Ramchandran, Pierre Moulin
- IEEE Signal Processing Letters
- 1999

We introduce a simple spatially adaptive statistical model for wavelet image coefficients and apply it to image denoising. Our model is inspired by a recent wavelet image compression algorithm, the estimation-quantization (EQ) coder. We model wavelet image coefficients as zero-mean Gaussian random variables with high local correlation. We assume a marginal… (More)

- Kannan Ramchandran, Martin Vetterli
- IEEE Trans. Image Processing
- 1993

A fast rate-distortion (R-D) optimal scheme for coding adaptive trees whose individual nodes spawn descendents forming a disjoint and complete basis cover for the space spanned by their parent nodes is presented. The scheme guarantees operation on the convex hull of the operational R-D curve and uses a fast dynamic programing pruning algorithm to markedly… (More)

We introduce PRISM (Power-efficient, Robust, hIgh-compression, Syndrome-based Multimedia coding), a video coding paradigm underpinned by the principles of distributed source coding from multi-user information theory. PRISM, which rests heavily on channel coding concepts, represents a radical departure from current state-of-the-art video coding… (More)

In this paper we provide an overview of rate-distortion (R-D) based optimization techniques and their practical application to image and video coding. We begin with a short discussion of classical rate-distortion theory and then we show how in many practical coding scenarios, such as in standards-compliant coding environments, resource allocation can be put… (More)

- Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard
- IEEE Trans. Image Processing
- 1997

A new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation. This paper addresses the problem of how spatial… (More)

- Kannan Ramchandran, Antonio Ortega, Martin Vetterli
- IEEE Trans. Image Processing
- 1994

We address the problem of efficient bit allocation in a dependent coding environment. While optimal bit allocation for independently coded signal blocks has been studied in the literature, we extend these techniques to the more general temporally and spatially dependent coding scenarios. Of particular interest are the topical MPEG video coder and… (More)

- Alexandros G. Dimakis, Vinod M. Prabhakaran, Kannan Ramchandran
- IEEE Transactions on Information Theory
- 2006

In this correspondence, we consider the problem of constructing an erasure code for storage over a network when the data sources are distributed. Specifically, we assume that there are <i>n</i> storage nodes with limited memory and <i>k</i> < <i>n</i> sources generating the data. We want a data collector, who can appear anywhere in the network, to query… (More)

- Jim Chou, Dragan Petrovic, Kannan Ramchandran
- INFOCOM
- 2003

We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm . While the topic of energy-aware routing to alleviate energy consumption in sensor networks has received attention recently [1,2], in this paper, we propose an orthogonal approach to previous… (More)