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pro vyhledávání: '"Shayan Hassanpour"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 4171-4185 (2024)
In this article, we focus on a generic multiterminal (remote) source coding scenario in which, via a joint design, several intermediate nodes must locally compress their noisy observations from various sets of user / source signals ahead of forwardin
Externí odkaz:
https://doaj.org/article/6c83f5d8608246a881f6bc33ea7d23b6
Publikováno v:
IEEE Transactions on Communications. 69:6633-6646
Consider the following setup: Through a joint design, multiple observations of a remote data source shall be locally compressed before getting transmitted via several error-prone , rate-limited forward links to a (distant) processing unit. For addres
Publikováno v:
IEEE Transactions on Communications. 68:7911-7926
The main focus will be on the indirect Joint Source-Channel Coding problem in which a noisy observation of the source has to be quantized ahead of transmission over an error-prone forward link to a remote processing unit. To that end, we present here
Generalized Distributed Information Bottleneck for Fronthaul Rate Reduction at the Cloud-RANs Uplink
Publikováno v:
GLOBECOM
The focus is on Wyner-Ziv type distributed fronthaul compression for the uplink of Cloud Radio Access Networks with single-hop topology to leverage the correlation among the received signals of neighboring Radio Access Points. For this, we highlight
Publikováno v:
GLOBECOM
Consider following setup: A number of observations from a data source shall be compressed jointly prior to a forward transmission via several rate- limited links to a central processing unit. To design the respective quantizers, here, Mutual Informat
Publikováno v:
ISTC
In this paper, we focus on an extended version of noisy source coding wherein the compressed data shall be transmitted over an imperfect (forward) channel for further processing. As the quantization design framework, we deploy the Information Bottlen
Publikováno v:
GLOBECOM
The main focus of this paper is on the problem of noisy source coding wherein observed signals from an inaccessible source shall be compressed. To that end, rather than resorting to the conventional methods from Rate-Distortion theory, the so-called
Publikováno v:
ICT
Consider an extended version of noisy source coding in which the compressed data must be transmitted over an imperfect (forward) channel before being further processed. An interesting criterion for designing the quantizer in such cases is to maximize
Publikováno v:
WCNC
In the context of noisy source coding, contrary to the conventional Rate-Distortion theory, the so-called Information Bottleneck method formulates the existent fundamental complexity-precision trade-off in a symmetric and purely information-theoretic
Publikováno v:
ICC
The general problem of quantizing observation signals appears in different aspects of data processing, from special code designs to realization of low-complexity receivers. To this end, a new framework, known as the Information Bottleneck method, has