The problem of joint source–channel and multiuser decoding for code division multiple access channels is considered. The block source–channel encoder is defined by a vector quantiser (VQ). The jointly optimum solution to such a problem has been considered before, but its extremely high complexity makes it impractical for systems with medium to large number of users and/or medium to large size o...

Motivated by recent results in Joint Source/Channel (JSC) coding and decoding, this paper addresses the problem of soft input decoding of Arithmetic Codes (AC). A new length-constrained scheme for JSC decoding of these codes is proposed based on the Maximum a posteriori (MAP) sequence estimation criterion. The new decoder, called Chase-like arithmetic decoder is supposed to know the source symb...

A novel multiuser detection scheme applying iterative soft-interference cancellation in multi-carrier code division multiple access (MC-CDMA) systems is proposed and investigated. The novel detection scheme cancels the interference from the other users by taking into account reliability informations about the detected interference. For this purpose, we use not the decisions from the inner decod...

Parts 1-3 present and criticize Partee and Kamp’s 1995 well known analysis of the typicality effects. The main virtue of this analysis is in the use of supermodels, rather than fuzzy models, in order to represent vagueness in predicate meaning. The main problem is that typicality of an item in a predicate is represented by a value assigned by a measure function, indicating the proportion of sup...

Running title: ERP effects of typicality and lexicality Abstract Using a speeded lexical decision task, event-related potentials (ERP) and minimum norm current source estimates, we investigated early spatio-temporal aspects of cortical activation elicited by words and pseudowords that varied in their orthographic typicality, i.e. in the frequency of their component letter pairs (bigrams) and tr...

In a recent article [1], random coding error exponents and expurgated exponents were analyzed for the generalized likelihood decoder (GLD), where the decoded message is randomly selected under a probability distribution that is proportional to a general exponential function of the empirical joint distribution of the codeword and the channel output vectors. In Section V of [1], Theorem 2 provide...

Recent findings show that typical faces are judged as more trustworthy than atypical faces. However, it is not clear whether employment of typicality cues in trustworthiness judgment happens across cultures and if these cues are culture specific. In two studies, conducted in Japan and Israel, participants judged trustworthiness and attractiveness of faces. In Study 1, faces varied along a cross...

M.H. Ashcraft found that people tend to know more properties of items they rate as typical of a category than of items they rate as atypical, suggesting that variations in typicality result from variations in familiarity. Three experiments were designed to challenge this suggestion. The'first investigated whether familiarity is necessarily correlated with typicality ratings for a large sample o...

We present a state-of-the-art end-to-end Automatic Speech Recognition (ASR) model. We learn to listen and write characters with a joint Connectionist Temporal Classification (CTC) and attention-based encoder-decoder network. The encoder is a deep Convolutional Neural Network (CNN) based on the VGG network. The CTC network sits on top of the encoder and is jointly trained with the attention-base...

All the existing image steganography methods use manually crafted features to hide binary payloads into cover images. This leads to small payload capacity and image distortion. Here we propose a convolutional neural network based encoder-decoder architecture for embedding of images as payload. To this end, we make following three major contributions: (i) we propose a deep learning based generic...