In this paper, we design and analyze distributed vector quantization (VQ) for compressed measurements of correlated sparse sources over noisy channels. Inspired by the framework of compressed sensing (CS) for acquiring compressed measurements of the sparse sources, we develop optimized quantization schemes that enable distributed encoding and transmission of CS measurements over noisy channels ...

A joint scheme combining error-control coding (ECC) with complex-field coding (CFC) is proposed for space-time communications through flat or frequency-selective fading multiple-input multiple-output (MIMO) channels. It is shown that the diversity gain of this joint coding scheme is the product of the free distance of the ECC, the complex-field block encoder size, and the number of receive ante...

Distributed compressed sensing is the extension of compressed sampling (CS) to sensor networks. The idea is to design a CS joint decoding scheme at the base station which exploits the inter-sensor correlations, in order to recover the whole observations from very few number of random measurements per node. Here, the questions are about modeling the correlations, design of the joint recovery alg...

Research on category-based induction has documented a consistent typicality effect: Typical exemplars promote stronger inferences about their broader category than atypical exemplars. This work has been largely confined to categories whose central tendencies are also the most typical members of the category. Does the typicality effect apply to the broad set of categories for which the ideal cat...

There has been some debate about the correspondence between typicality gradients and category membership. The present study investigates the relationship between these two measures in the domains of animals and artifacts. Forty-two adults judged the degree of typicality or category membership of 293 animals and artifacts. The subjects' tendency for animals, but not for artifacts, was to make mo...

We propose a logical analysis of the concept of typicality, central in human cognition (Rosch,1978). We start from an extension of Description Logic ALC (a computationally tractable fragment of First Order Logic, used to represent concept inclusions and ontologies) with a typicality operator T to consistently represent inheritance with exceptions (e.g. (i)typical birds fly, (ii) penguins are bi...

The quantum inspired State Context Property (SCOP) theory of concepts is unique amongst theories of concepts in offering a means of incorporating that for each concept in each different context there are an unlimited number of exemplars, or states, of varying degrees of typicality. Working with data from a study in which participants were asked to rate the typicality of exemplars of a concept f...

One of the most common image retrieval tasks is to find the most typical image that depicts the object specified by a query. Existing image search engines cannot efficiently do this since their search results are often a mixture of images belonging to various semantic concepts. We therefore introduce a probabilistic model for typicality. Our model consists of images, symbolic features, and late...

In this paper, we consider the joint decoding of Raptor codes on a binary input additive white Gaussian noise channel. Raptor codes are rateless fountain codes that have the attractive property of being universal on the binary erasure channel: they can approach arbitrarily close the capacity, independently of the channel parameter. It has been recently shown that Raptor codes are not universal ...

Intuitively, an apple seems a fairly good example of a fruit, whereas an avocado seems less so. The extent to which an exemplar is representative of its category, referred to here as concept typicality, has long been thought to be a key dimension determining semantic representation. Concept typicality is, however, correlated with a number of other variables, in particular age of acquisition (Ao...