• Title/Summary/Keyword: encoding-decoding

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Channel Coding Based Physical Layer Security for Wireless Networks (채널 부호화를 통한 물리계층 무선네트워크 보안기술)

  • Asaduzzaman, Asaduzzaman;Kong, Hyung Yun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.3
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    • pp.57-70
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    • 2008
  • This paper introduces a new paradigm of physical layer security through channel coding for wireless networks. The well known spread spectrum based physical layer security in wireless network is applicable when code division multiple access (CDMA) is used as wireless air link interface. In our proposal, we incorporate the proposed security protocol within channel coding as channel coding is an essential part of all kind of wireless communications. Channel coding has a built-in security in the sense of encoding and decoding algorithm. Decoding of a particular codeword is possible only when the encoding procedure is exactly known. This point is the key of our proposed security protocol. The common parameter that required for both encoder and decoder is generally a generator matrix. We proposed a random selection of generators according to a security key to ensure the secrecy of the networks against unauthorized access. Therefore, the conventional channel coding technique is used as a security controller of the network along with its error correcting purpose.

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Distributed Video Coding Frame Interpolation using Dominant MV (우세 움직임 벡터를 이용한 Distributed Video Coding 화면 보간)

  • Choi, Seong-Hyun;Lee, Seong-Won
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.07a
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    • pp.422-423
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    • 2010
  • 최근 Encoding과정에 비용이 많이 들어가는 MPEG계열의 압축 기술과 다르게 Encoding과 Decoding에 적절히 비용을 분산시키는 Distributed Video Coding(DVC)에 대한 연구가 활발히 진행되고 있다. 이는 휴대용 멀티미디어 기기들의 발전으로 영상 압축에 대한 비용을 분산시킬 필요가 발생했기 때문이다. 이때 Decoding과정에서 생성되는 side information의 정확성은 Winer-Ziv 프레임 복원에 대한 parity비트에 영향을 줘 압축 성능에 큰 영향을 준다. 이에 본 논문은 DVC에 사용할 수 있는 보다 정확한 Frame Interpolation방법을 제안한다. 단일 방향 예측을 통해 움직임 벡터를 생성하고 비어있는 공간에 대해 분산을 이용, Dominant MV와 픽셀평균값을 이용하여 프레임을 생성한다. 이는 기존 frame interpolation방법에 비해 비용이 적게 들고, 화질은 그대로 유지할수 있는 장점이 있다. 이를 확인하기 위해 DVC기법에 사용되는 frame interpolation에 제안하는 알고리즘을 적용하여 실험을 진행하였으며 다른 알고리즘들과 비교해 화질은 유지하고 계산량은 줄일수 있었다.

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Applications and Challenges of Deep Learning and Non-Deep Learning Techniques in Video Compression Approaches

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.140-146
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    • 2023
  • A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.

A Differential SFBC-OFDM for a DMB System with Multiple Antennas

  • Woo, Kyung-Soo;Lee, Kyu-In;Paik, Jong-Ho;Park, Kyung-Won;Yang, Won-Young;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.2A
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    • pp.195-202
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    • 2007
  • A differential space-frequency block code - orthogonal frequency division multiplexing (SFBC-OFDM) scheme as a multiple-input multiple-output (MIMO) transmission technique for next-generation digital multimedia broadcasting (DMB) is proposed in this paper. A linear decoding method for differential SFBC, which performs comparably to the ML decoding method, is derived for the cases of two or four transmit antennas. A simple table lookup method is proposed to improve the efficiency of the encoding/decoding process of DSFBC for the case of non-constant modulus constellations. A DMB MIMO channel model, developed by extending the 3GPP MIMO model to fit DMB environments, is used to compare BER performances of differential space block code schemes for various channel environments. Simulation results show that the differential SFBC-16QAM scheme using either four transmit antennas with one receive antenna or two transmit antennas with two receive antennas achieves a performance gain of 12dB than that of the conventional DQPSK scheme, even with a data rate twice faster.

An Efficient Implementation of Tornado Code for Fault Tolerance

  • Lei, Jian-Jun;Kwon, Gu-In
    • Journal of Korea Spatial Information System Society
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    • v.11 no.2
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    • pp.13-18
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    • 2009
  • This paper presents the implementation procedure of encoding and decoding algorithms for Tornado code that can provide fault tolerance for storage and transmission system. The degree distribution satisfying heavy tail distribution is produced. Based on this distribution, a good random irregular bipartite graph is attained after plenty of trails. Such graph construction is proved to be efficient, and the experiments also demonstrate that the implementation obtains good performance in terms of decoding overhead.

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Neuroscience I : neural encoding and decoding (신경과학 I : 신경신호 인코딩과 디코딩)

  • Lee, Ho-Suk
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10a
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    • pp.59-62
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    • 2006
  • 전산 신경과학은 신경 시스템을 생물물리학, 신경회로, 그리고 시스템 레벨 등 여러 가지 관점에서 크기와 구조를 모델링하여 신경 신호의 전달과 전달되는 정보의 내용을 이해하고자 하는 분야이다. 전산 신경과학은 기존의 생물학적인 신경과학 연구에 대한 보완적인 연구방법으로 이론적이고 계산적인 방법을 사용한다. 본 논문에서는 신경 세포에서 반응 인코딩에 해당되는 신호 발생율(firing rate)과 스파이크 통계(spike statistics)를 설명하고, 신경 세포에서 반응 디코딩에 해당되는 스파이크-트레인 디코딩(spike-train decoding)에 대하여 설명한다.

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Transform domain Wyner-Ziv video coding with successively improving side information based on decoding reliability (복호 신뢰도에 기반하여 점진적으로 보조정보를 향상시키는 변환영역 Wyner-Ziv 부호화 방법)

  • Ko, Bong-Hyuck;Shim, Hiuk-Jae;Jeon, Byeung-Woo
    • Journal of Broadcast Engineering
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    • v.13 no.6
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    • pp.892-904
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    • 2008
  • As a video encoding in resource constrained environments such as sensor networks has become an important issue, DVC(Distributed Video Coding) has been intensively investigated as a solution for light weighted video encoding problem. Known as one of the representative schemes of DVC, the Wyner-Ziv coding generates side information of current frame only at decoder, using correlation among frames, and reconstructs video through noise elimination on the side information using channel code. Accordingly, the better quality of side information brings less channel noise, thus attains better coding performance of the Wyner-Ziv coder. However, since it is hard for decoder to generate an accurate side information without any information of original frame, a method to successively improve side information using successively decoded original frame, based on decoding reliability, was previously developed. However, to improve side information from decoding results, not only an error rate of the decoding result as a reliability, but also the amount of reliable information from the decoding result is important. Therefore, we propose TDWZ(Transform-domain Wyner-Ziv coding) with successively improving side information based on decoding reliability considering not only an error rate but also the amount of reliable information of the decoding results. Our experiment shows the proposed method gains average PSNR up to 1.7 dB over the previous TDWZ, that is without successive side information improvement.

Creating Covert Channel by Harnessing Shapley Values from Smartphone Sensor Data

  • Ho, Jun-Won
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.10-16
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    • 2021
  • In this paper, we devise a Shapley-value-based covert channel in smartphones. More specifically, unlike ordinary use of Shapley value in cooperative game, we make use of a series of Shapley values, which are computed from sensor data collected from smartphones, in order to create a covert channel between encoding smartphone and decoding smartphone. To the best of our knowledge, we are the first to contrive covert channel based on Shapley values. We evaluate the encoding process of our proposed covert channel through simulation and present our evaluation results.

Faster Than Nyquist Transmission with Multiple Channel Codes (다중 채널 부호를 이용한 FTN 전송 시스템)

  • Kang, Donghoon;Kim, Haeun;Yun, Joungil;Lim, Hyoungsoo;Oh, Wangrok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.2
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    • pp.157-162
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    • 2016
  • The performance of turbo-like codes highly depends on their frame size and thus, the bit error rate performance of turbo-like codes can be improved by increasing the frame size. Unfortunately, increasing the frame size of channel codes induces some drawbacks such as the increase of not only encoding and decoding complexity but also transmission and decoding latencies. On the other hand, a faster than Nyquist (FTN) transmission causes intentional inter-symbol interference (ISI) and thus, induces some correlation among the transmission symbols. In this paper, we propose an FTN transmission with multiple channel codes. By exploiting the correlation among the modulated symbols, multiple code frames can be regarded as a code frame with a lager frame size. Due to the inherent parallel encoding scheme of proposed scheme, parallel decoding can be easily implemented.

Fractal image compression based on discrete wavelet transform domain (이산 웨이브렛 변환 영역에 기반한 프랙탈 영상 압축)

  • 배성호;박길흠
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.7
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    • pp.1654-1667
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    • 1996
  • The conventional fractal image compression methods have high computational complexity at encoding reduce PSNR at low bit rate and havehighly visible blocking effects in a reconstructed image. In this paper we propose a fractal image compression method based on disctete wavelet transform domain, which takes the absolute value of discrete wavelet transform coefficient, and assembles the discrete wavelet tranform coefficients of different highpass subbands corresponding to the same spatial block and then applies "0" encoding according to the energy of each range blocks. The proposed method improved PSNR at low bit rate and reduced computational complexity at encoding distinctly. Also, this method can achieve a blockless reconstructed image and perform hierarchical decoding without recursive constractive transformation. Computer simulations with several test images show that the proposed method shows better performance than convnetional fractal coding methods for encoding still pictures. pictures.

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