Akshay Kashyap

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We study the distributed averaging problem on arbitrary connected graphs, with the additional constraint that the value at each node is an integer. This discretized distributed averaging problem models averaging in a network with the finite capacity channel (and in this form has applications to distributed detection in sensor networks) and load balancing in(More)
We consider a zero-sum mutual information game on multiple-input multiple-output (MIMO) Gaussian Rayleigh-fading channels. The players are an encoder-decoder pair as the maximizer, and a jammer as the minimizer, of the mutual information between the input and the output of the channel. There are total power constraints on both the jammer and the encoder.(More)
We study the problem of the reconstruction of a Gaussian field defined in [0,1] using N sensors deployed at regular intervals. The goal is to quantify the total data rate required for the reconstruction of the field with a given mean square distortion. We consider a class of two-stage mechanisms which (a) send information to allow the reconstruction of the(More)
We consider the problem of reliably communicating the output of a Gaussian source across average power constrained multi-antenna channels. We consider both fading and constant gain channels, and assume that in the former case the receiver has perfect channel state information. We are interested in designing simple memoryless encoding and decoding strategies(More)
Early metastases of hepatocellular carcinoma (HCC) may be detected by the isolation of circulating tumor cells (CTCs) in the bloodstream. During the course of therapeutic attempts, monitoring CTC changes in patients with HCC is helpful for the efficacy assessment. Nevertheless, the markers used for the detection, such as α-feto protein, asialoglycoprotein(More)
In this paper, we study the feasibility of sensing a bandlimited random field on a closed surface using a dense sensor network of inexpensive sensor nodes. The goal is to periodically gather quantized samples from the field and communicate it to a central collector, where this data is used to reconstruct the field. We show that under an arbitrary irregular(More)
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