Results 31 to 40 of about 1,562,532 (289)
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
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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
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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
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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
Bit rates in audio source coding [PDF]
, 1992 The goal is to introduce and solve the audio coding optimization problem. Psychoacoustic results such as masking and excitation pattern models are combined with results from rate distortion theory to formulate the audio coding optimization problem.
Veldhuis, Raymond N.J.
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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
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Stationary quantum source coding
, 2001 In this paper the quantum source coding theorem is obtained for a completely ergodic source. This results extends Shannon's classical theorem as well as Schumacher's quantum noiseless coding theorem for memoryless sources.
Dénes Petz +7 more
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On feedback in network source coding [PDF]
, 2009 We consider source coding over networks with unlimited feedback from the sinks to the sources. We first show examples of networks where the rate region with feedback is a strict superset of that without feedback.
Bakshi, Mayank, Effros, Michelle
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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
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Privacy-Constrained Remote Source Coding
, 2016 We consider the problem of revealing/sharing data in an efficient and secure way via a compact representation. The representation should ensure reliable reconstruction of the desired features/attributes while still preserve privacy of the secret parts of
Caire, Giuseppe +1 more
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