Results 21 to 30 of about 531,033 (266)
Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit
Entropy, 2016 We consider the compression of a continuous real-valued source X using scalar quantizers and average squared error distortion D. Using lossless compression of the quantizer’s output, Gish and Pierce showed that uniform quantizing yields the smallest ...
Melanie F. Pradier +2 more
doaj +1 more source
CoRR, 2011 This paper provides a source coding theorem for multi-dimensional information signals when, at a given instant, the distribution associated with one arbitrary component of the signal to be compressed is not known and a side information is available at the destination. This new framework appears to be both of information-theoretical and game-theoretical
Le Treust, Mael, Lasaulce, Samson
openaire +4 more sources
Design and Implementation of a Fully Flexible Cognitive Radio Modem
Journal of Communications Software and Systems, 2022 Software-defined radio (SDR)-based cognitive communication radio systems are very popular at present, and there have been many investigations on this topic.
Greta A. Vardanyan +2 more
doaj +1 more source
Entropy, 2018 In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds.
Jesús Gutiérrez-Gutiérrez +3 more
doaj +1 more source
On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources
Entropy, 2020 In this paper, we study the asymptotic optimality of a low-complexity coding strategy for Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a coding strategy when it is used to encode the most relevant vector ...
Jesús Gutiérrez-Gutiérrez +2 more
doaj +1 more source
IEEE Access, 2023 Joint Source-Channel Coding (JSCC) is a powerful technique that allows for the efficient transmission of information by simultaneously considering the characteristics of both the source and the channel.
Alexander Hamilton +2 more
doaj +1 more source
An End-to-End Scheme for Learning Over Compressed Data Transmitted Through a Noisy Channel
IEEE Access, 2023 Within the emerging area of goal-oriented communications, this paper introduces a novel end-to-end transmission scheme dedicated to learning over a noisy channel, under the constraint that no prior training dataset is available.
Alireza Tasdighi, Elsa Dupraz
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source
The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source
IEEE Access, 2016 The recently proposed unary error correction (UEC) and Elias gamma error correction (EGEC) codes facilitate the near-capacity joint source and channel coding (JSCC) of symbol values selected from large alphabets at a low complexity.
Matthew F. Brejza +6 more
doaj +1 more source