Results 91 to 100 of about 216,728 (139)

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
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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
openaire   +1 more source

Interleaver Design for Serial Concatenated Convolutional Codes

IEEE Communications Letters, 2004
In this paper, we present an interleaver design method for SCCC. Our design criterion is to minimize the message-round probability in the SCCC graph which is specially well suited for SCCC. The message-round probability characterizes the message flow in the SCCC graph. By minimizing it, we can get a large interleaving gain.
Jungpil Yu, Marie-Laure Boucheret, Robert Vallet, Alban Duverdier, Gilles Mesnager   +4 more
openaire   +1 more source

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

Blind Estimation of Convolutional Interleaver Parameters

2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, 2012
Interleaving, an important technique in digital wireless communications systems, is commonly used to improve robustness against burst errors because it provides a form of time diversity. The unitive mathematical model of the convolutional interleaver was presented for the first time and the blind estimation of convolutional interleaving parameters has ...
Yong-qiang Jia, Li-ping Li, You-zhu Li, Lu Gan   +3 more
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Blind identification of convolutional interleaver parameters

2009 7th International Conference on Information, Communications and Signal Processing (ICICS), 2009
Blind identification of parameters in block interleaving has been studied by some researchers. In this paper, we extend the identification algorithm to convolutional type of interleaving. In particular, our algorithm is able to blindly determine the interleaver period, interleaver depth, number of stages in each shift register of interleaver and thus ...
Liru Lu, Kwok Hung Li, Yong Liang Guan
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Convolutional interleavers for stream-oriented parallel concatenated convolutional codes

Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252), 2002
The design of convolutional interleavers (CIs) is considered for a stream-oriented parallel concatenated convolutional coding (PCCC). Design rules are developed for CIs using analysis of the interleaving equations as well as simulation results. Results show that CIs are viable design options which can offer improved performance for low latency designs ...
E.K. Hall, S.G. Wilson
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Interleaver optimization of convolutional turbo code for 802.16 systems

IEEE Communications Letters, 2009
Convolutional turbo code (CTC) has been adopted as an optional channel coding scheme for wireless metropolitan area networks (WMAN) and digital video broadcasting (DVB) owing to its powerful error correction capability and flexibility. In spite of the fact that the internal interleaver of CTC mainly affects the characteristics of the code, interleaving
Sung-Joon Park, Jun-Ho Jeon
openaire   +2 more sources