T Philosof, L Kissos, A Doubchak… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Channel quantization is commonly used in non-volatile memories and front-end
communication systems. The general setting of channel quantization and map** involves …
communication systems. The general setting of channel quantization and map** involves …
A recursive quantizer design algorithm for binary-input discrete memoryless channels
The optimal quantization of output binary-input discrete memoryless channels is considered,
whereby the optimal quantizer preserves at least a constant-fraction of the original mutual …
whereby the optimal quantizer preserves at least a constant-fraction of the original mutual …
Efficient hardware implementations of ldpc decoders, through exploiting impreciseness in message-passing decoding algorithms
TTN Ly - 2017 - theses.hal.science
The increasing demand of massive data rates in wireless communication systems will
require significantly higher processing speed of the baseband signal, as compared to …
require significantly higher processing speed of the baseband signal, as compared to …
Optimal quantization of B-DMCs maximizing α-mutual information with monge property
Y Sakai, K Iwata - 2017 IEEE International Symposium on …, 2017 - ieeexplore.ieee.org
This study examines quantization for outputs of binary-input discrete memoryless channels
(B-DMCs) by concatenating its output with another DMC, so-called a quantizer. As an …
(B-DMCs) by concatenating its output with another DMC, so-called a quantizer. As an …
Optimum Quantization of Memoryless Channels with N-ary Input
T Monsees, D Wübben… - 2022 56th Asilomar …, 2022 - ieeexplore.ieee.org
This paper considers channel quantization of memoryless channels with N-ary input x and
Mutual Information (MI) as fidelity criterion. We make use of an equivalent formulation of the …
Mutual Information (MI) as fidelity criterion. We make use of an equivalent formulation of the …
A mismatched decoding perspective of channel output quantization
Channel output quantization to a smaller number of outputs is modeled as a mismatched
decoding problem. The conditions that a mismatched decoding metric should satisfy in order …
decoding problem. The conditions that a mismatched decoding metric should satisfy in order …
[PDF][PDF] A recursive algorithm for quantizer design for binary-input discrete memoryless channels
The quantization of the outputs of a binary-input discrete memoryless channel is considered.
A new recursive method for finding all optimal quantizers for all output cardinalities is …
A new recursive method for finding all optimal quantizers for all output cardinalities is …
Inequalities on Rényi's Information Measures and Multilevel Channel Polarization for Non-Binary Polar Codes
S Yuta - 2018 - u-fukui.repo.nii.ac.jp
The general goal in information theory can be broadly divided into the two parts:(i) finding
the fundamental limits of information transmission in various senses and in several …
the fundamental limits of information transmission in various senses and in several …
[PDF][PDF] Performance measurements and models for vehicle-to-infrastructure communication systems
V Shivaldova - 2015 - scholar.archive.org
In this thesis, we provide a comprehensive set of guidelines for roadside unit (RSU)
deployment in the context of vehicle-to-infrastructure (V2I) communication systems. Based …
deployment in the context of vehicle-to-infrastructure (V2I) communication systems. Based …