Learn More
Mapping audio data to feature vectors for the classification, retrieval or identification tasks presents four principal challenges. The dimensionality of the input must be significantly reduced; the resulting features must be robust to likely distortions of the input; the features must be informative for the task at hand; and the feature extraction(More)
The Karhunen-Loeacuteve transform (KLT) is known to be optimal for high-rate transform coding of Gaussian vectors for both fixed-rate and variable-rate encoding. The KLT is also known to be suboptimal for some non-Gaussian models. This paper proves high-rate optimality of the KLT for variable-rate encoding of a broad class of non-Gaussian vectors: Gaussian(More)
RF energy Harvesting (RFH) is emerging as a potential method for the proactive energy replenishment of next generation wireless networks. Unlike other harvesting techniques that depend on the environment, RFH can be predictable or ondemand, and as such it is better suited for supporting quality-ofservice-based applications. However, RFH efficiency is scarce(More)
Wireless transfer of energy through directed radio frequency waves has the potential to realize perennially operating sensor nodes by replenishing the energy contained in the limited on-board battery. However, the high power energy transfer from energy transmitters (ETs) interferes with data communication, limiting the coexistence of these functions. This(More)
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal transform coders and scalar quantizers using Chernoff bounds on probability of misclassification as the measure of classification accuracy. This design improves classification(More)
  • Soumya Jana
  • 2009 43rd Annual Conference on Information…
  • 2009
Recently, we proposed canonical inner bounds for a broad class of multiterminal source coding problems, subsuming an array of known results. Computation of those bounds assumes importance in view of open tightness questions, as well as their role as benchmarks, and in other contexts. In this backdrop, as computational algorithms depend exponentially on(More)
A key problem faced by audio identification, classification, and retrieval systems is the mapping of high-dimensional audio input data into informative lower-dimensional feature vectors. This paper explores an automatic dimensionality reduction algorithm called Distortion Discriminant Analysis (DDA). Each layer of DDA projects its input into directions(More)
Batteries of field nodes in a wireless sensor network pose an upper limit on the network lifetime. Energy harvesting and harvesting aware medium access control protocols have the potential to provide uninterrupted network operation, as they aim to replenish the lost energy so that energy neutral operation of the energy harvesting nodes can be achieved. To(More)
Principles behind lossless and lossy coding are usually considered related, yet distinct. In contrast, we show that the direct statements of the rate-distortion theorem and the lossless coding theorem are consequences of a common distortion-abstracted phenomenon. Significantly, we extend such distortion abstraction to a more general multiterminal framework,(More)