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  • R. Nowak
  • 2008
This paper studies a generalization of the classic binary search problem of locating a desired value within a sorted list. The classic problem can be viewed as determining the correct one-dimensional, binary-valued threshold function from a finite class of such functions based on queries taking the form of point samples of the function. The classic problem(More)
This article describes a very different approach to the decentralized compression of networked data. Considering a particularly salient aspect of this struggle that revolves around large-scale distributed sources of data and their storage, transmission, and retrieval. The task of transmitting information from one point to another is a common and(More)
Coherent data communication over doubly-selective channels requires that the channel response be known at the receiver. Training-based schemes, which involve probing of the channel with known signaling waveforms and processing of the corresponding channel output to estimate the channel parameters, are commonly employed to learn the channel response in(More)
Internet background radiation, the fundamentally unproductive traffic that arises from misconfigurations and malicious activities, is pervasive and has complex characteristics. Understanding the network locations of hosts that generate background radiation can be helpful in the development of new techniques aimed at reducing this unwanted traffic. This(More)
Power and bandwidth are scarce resources in dense wireless sensor networks and it is widely recognized that joint optimization of the operations of sensing, processing and communication can result in significant savings in the use of network resources. In this paper, a distributed joint source-channel communication architecture is proposed for(More)
Adaptive filters are commonly used for online filtering of signals. The goal is to estimate a signal y from a signal x. An adaptive filter is an adjustable filter that processes in time x. The output of the filter is the estimator y of y. The filter is adjusted after each time step to improve the estimation, as depicted in the block diagram below. Figure 1:(More)
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