Results 71 to 80 of about 132 (124)

Optical frequency multiplication using residual network with random forest regression. [PDF]

Heliyon
Zhang Q, Han X, Fang X, Liu M, Ge K, Jiang H.   +5 more
europepmc   +1 more source

A History of Channel Coding in Aeronautical Mobile Telemetry and Deep-Space Telemetry. [PDF]

Entropy (Basel)
Rice M.
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Concatenated convolutional codes with interleavers

IEEE Communications Magazine, 2003
This article presents a tutorial overview of the class of concatenated convolutional codes with interleavers, also known as turbo-like codes. They are powerful codes, formed by a number of encoders connected through interleavers, endowed by a decoding algorithm that splits the decoding burden into separate decoding of each individual code.
G Montorsi, D Divsalar, S Benedetto
exaly   +2 more sources

Modified Convolutional Interleavers for Parallel Concatenated Block Codes

IEEE Communications Letters, 2022
Sina Vafi
exaly   +2 more sources

Interleaved Group Convolutions

2017 IEEE International Conference on Computer Vision (ICCV), 2017
In this paper, we present a simple and modularized neural network architecture, named interleaved group convolutional neural networks (IGCNets). The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution. The two group convolutions are complementary: (
Ting Zhang 0002, Guo-Jun Qi, Bin Xiao 0001, Jingdong Wang 0001   +3 more
openaire   +2 more sources

Estimation of Convolutional Interleaver in a Non-cooperative Context

2020 22nd International Conference on Advanced Communication Technology (ICACT), 2020
In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.
Yoonji Kim, Geunbae Kim, Dongweon Yoon
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Evaluation of interleaving effect on convolutional correcting code

2005 12th IEEE International Conference on Electronics, Circuits and Systems, 2005
We know that the role of the technique of interleaving in the turbo codes is determining, this is due to the fact that the turbo codes have two (or more) decoder elements concatenated in parallel or serially. Each decoder alone can produce series of erroneous bits which, if not scattered on the entire data frame with an interleaving operation, degrade ...
Maher Kouraichi, Amin Toumi, Abdennaceur Kachouri, Lotfi Kamoun   +3 more
openaire   +1 more source

Deep Convolutional Network Based on Interleaved Fusion Group

IEEE Transactions on Cognitive and Developmental Systems, 2021
It is known that the classification accuracy of the deep convolutional network can be remarkably improved by increasing its depth and width. However, as the network size increases, the number of network parameters will increase significantly, which results in network redundancy and performance degradation.
Enhui Lv, Yuhu Cheng 0001, Xuesong Wang 0001, C. L. Philip Chen   +3 more
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Interleaved Structured Sparse Convolutional Neural Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In addition to structured sparse kernels, low-rank kernels and the product of low-rank kernels, the product of structured sparse kernels, which is a framework for interpreting the ...
Guotian Xie, Jingdong Wang 0001, Ting Zhang 0002, Jianhuang Lai, Richang Hong, Guo-Jun Qi   +5 more
openaire   +2 more sources