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We consider the problem of 20 questions with noise for multiple players under the minimum entropy criterion in the setting of stochastic search, with application to target localization. Each player yields a noisy response to a binary query…

Information Theory · Computer Science 2014-03-18 Theodoros Tsiligkaridis , Brian M. Sadler , Alfred O. Hero

Because of their capacity-approaching performance, graph-based codes have a wide range of applications, including communications and storage. In these codes, unequal error protection (UEP) can offer performance gains with limited rate loss.…

Information Theory · Computer Science 2021-01-25 Beyza Dabak , Ahmed Hareedy , Alexei Ashikhmin , Robert Calderbank

We present a novel autoencoder-based approach for designing codes that provide unequal error protection (UEP) capabilities. The proposed design is based on a generalization of an autoencoder loss function that accommodates both message-wise…

Information Theory · Computer Science 2021-04-19 Vukan Ninkovic , Dejan Vukobratovic , Christian Häger , Henk Wymeersch , Alexandre Graell i Amat

This paper investigates unequal error protection (UEP) in digital semantic communication, where semantically important bits require substantially higher reliability than less critical ones. To characterize this heterogeneity, we introduce a…

Information Theory · Computer Science 2026-03-09 Seonjung Kim , Yongjeong Oh , Yongjune Kim , Namyoon Lee , Yo-Seb Jeon

For efficient modulation and error control coding, the deliberate flipping approach imposes the run-length-limited(RLL) constraint by bit error before recording. From the read side, a high coding rate limits the correcting capability of RLL…

Information Theory · Computer Science 2023-10-11 Hong-fu Chou

Unequal error protection (UEP) coding that enables differentiated reliability levels within a transmitted message is essential for modern communication systems. Autoencoder (AE)-based code designs have shown promise in the context of…

Information Theory · Computer Science 2025-08-12 Vukan Ninkovic , Dejan Vukobratovic

In this paper, we consider designing low-density parity-check (LDPC) coded modulation systems to achieve unequal error protection (UEP). We propose a new UEP approach by partial superposition transmission called UEP-by-PST. In the…

Information Theory · Computer Science 2013-09-17 Kechao Huang , Chulong Liang , Xiao Ma , Baoming Bai

An information theoretic framework for unequal error protection is developed in terms of the exponential error bounds. The fundamental difference between the bit-wise and message-wise unequal error protection (UEP) is demonstrated, for…

Information Theory · Computer Science 2020-01-03 Shashi Borade , Baris Nakiboglu , Lizhong Zheng

Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for computation at the agents is affected by the availability of local resources…

Information Theory · Computer Science 2021-03-22 Busra Tegin , Eduin E. Hernandez , Stefano Rini , Tolga M. Duman

We study the achievable performance of adaptive query procedures for the noisy 20 questions problem with measurement-dependent noise over a unit cube of finite dimension. The performance criterion that we consider is the minimal resolution,…

Information Theory · Computer Science 2021-05-04 Lin Zhou , Alfred Hero

The bit-wise unequal error protection problem, for the case when the number of groups of bits $\ell$ is fixed, is considered for variable length block codes with feedback. An encoding scheme based on fixed length block codes with erasures…

Information Theory · Computer Science 2020-01-03 Baris Nakiboglu , Siva K. Gorantla , Lizhong Zheng , Todd P. Coleman

Conventional communication systems are mainly designed to reduce error rates and increase transmission rates, and therefore usually provide uniform protection to all transmitted messages. However, in intent-oriented applications, different…

Information Theory · Computer Science 2026-05-25 Qiming Lu , Shan Lu , Takaya Yamazato

We establish fundamental limits on estimation accuracy for the noisy 20 questions problem with measurement-dependent noise and introduce optimal non-adaptive procedures that achieve these limits. The minimal achievable resolution is defined…

Information Theory · Computer Science 2021-01-12 Lin Zhou , Alfred Hero

Rateless codes have been shown to be able to provide greater flexibility and efficiency than fixed-rate codes for multicast applications. In the following, we optimize rateless codes for unequal error protection (UEP) for multimedia…

Information Theory · Computer Science 2015-01-13 Yu Cao , Steven D. Blostein , Wai-Yip Chan

We establish fundamental limits on estimation accuracy for the noisy 20 questions problem with measurement-dependent noise and introduce optimal non-adaptive procedures that achieve these limits. The minimal achievable resolution is defined…

Information Theory · Computer Science 2021-01-12 Lin Zhou , Alfred Hero

We propose a sequential quadratic programming (SQP) algorithm for inequality constrained optimization that is robust to the presence of bounded noise in function and derivative evaluations. We cover the case where constraint evaluations…

Optimization and Control · Mathematics 2026-04-17 Figen Oztoprak , Richard Byrd

Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for the computations at the agents is affected by the availability of local resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-28 Busra Tegin , Eduin. E. Hernandez , Stefano Rini , Tolga M. Duman

Irregular low-density parity check (LDPC) codes are particularly well-suited for transmission schemes that require unequal error protection (UEP) of the transmitted data due to the different connection degrees of its variable nodes.…

Information Theory · Computer Science 2011-02-01 H. V. Beltrao Neto , W. Henkel , V. C. da Rocha

The problem of target localization with noise is addressed. The target is a sample from a continuous random variable with known distribution and the goal is to locate it with minimum mean squared error distortion. The localization scheme or…

Information Theory · Computer Science 2015-05-05 Ehsan Variani , Kamel Lahouel , Avner Bar-Hen , Bruno Jedynak

This paper considers the task of performing binary search under noisy decisions, focusing on the application of target area localization. In the presence of noise, the classical partitioning approach of binary search is prone to error…

Information Theory · Computer Science 2025-05-01 Kaan Buyukkalayci , Merve Karakas , Xinlin Li , Christina Fragouli
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