Results 161 to 170 of about 538 (196)
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A low complexity algorithm of blind estimation of convolutional interleaver parameters
Science China Information Sciences, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lu Gan
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Interleaved Group Convolutions
2017 IEEE International Conference on Computer Vision (ICCV), 2017In 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 +3 more
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Deep Convolutional Network Based on Interleaved Fusion Group
IEEE Transactions on Cognitive and Developmental Systems, 2021It 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 +3 more
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Concatenated convolutional codes with interleavers
IEEE Communications Magazine, 2003This 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.
BENEDETTO, Sergio +2 more
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Evaluation of interleaving effect on convolutional correcting code
2005 12th IEEE International Conference on Electronics, Circuits and Systems, 2005We 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 +3 more
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Interleaved Structured Sparse Convolutional Neural Networks
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018In 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 +5 more
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Interleaver Design for Serial Concatenated Convolutional Codes
IEEE Communications Letters, 2004In 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 +4 more
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Blind identification of convolutional interleaver parameters
2009 7th International Conference on Information, Communications and Signal Processing (ICICS), 2009Blind 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), 2002The 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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Classification of Error Correcting Codes and Estimation of Interleaver Parameters in a Noisy Transmission Environment [PDF]
IEEE Transactions on Broadcasting, 2017 Channel encoder, which includes a forward error correcting (FEC) code followed by an interleaver, plays a vital role in improving the error performance of digital storage and communication systems.
Swaminathan R, A S Madhukumar
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