• Title/Summary/Keyword: CODEBOOK

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New Distance Measure for Vector Quantization of Image (영상 벡터양자화를 위한 편차분산을 이용한 거리계산법)

  • Lee, Kyeong-Hwan;Choi, Jung-Hyun;Lee, Bub-Ki;Cheong, Won-Sik;Kim, Kyoung-Kyoo;Kim, Duk-Gyoo
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.11
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    • pp.89-94
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    • 1999
  • In vector quantization (VQ), mean squared error (MSE) is widely used as a distance measure between vectors. But the distance between averages appears as a dominant quantity in MSE. In the case of image vectors, the coincidence of edge pattern is also important considering human visual system (HVS). Therefore, this paper presents a new distance measure using the variance of difference (VD) as a criterion for the coincidence of edge pattern. By using this in the VQ encoding, we can reduce the degradation of edge region in the reconstructed image. And applying this to the codebook design, we can obtain the final codebook that has a lot of various edge codevectors instead of redundant shade ones.

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Wavelet Lifting based ECG Signal Compression Using Multi-Stage Vector Quantization (다단계 벡터 양자화를 이용한 웨이브렛 리프팅 기반 ECG 압축)

  • Park, Seo-Young;Jeong, Gyu-Hyeok;Kim, Young-Ju;Lee, In-Sung;Joo, Gi-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.6 s.312
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    • pp.76-82
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    • 2006
  • In this paper, the biomedical signal compression method, which is combined with the multi-stage vector quantization and wavelet lifting scheme, is proposed. It utilizes the property of wavelet coefficients that give emphasis on approximation coefficients. The transmitted codebook index consists of the code vectors obtained by wavelet lifting coefficients of ECG and error signals from the 1024 block length, respectively. Each codebook is adaptively updated by the method comparing to the distance of input codevectors with candidate codevectors by using an pre-defined threshold value. The proposed compression method showed blow 3% in term of PRD and 276.62 bits/sec in term of CDR.

Beamforming and User Scheduling for Device-to-Device Underlaying Cellular Networks (셀룰러 네트워크에서 D2D 통신을 고려한 빔 형성 및 스케줄링 기법)

  • Park, Sung-Soo;Bang, Keuk-Joon;Hong, Dae-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.2
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    • pp.9-16
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    • 2012
  • In this paper, the beamforming and user scheduling scheme for device-to-device (D2D) underlaying celullar networks with partial channel state information is investigated. In the proposed scheme, cellular users whose channels are nearly orthogonal to the channel between base station and D2D receiver are selected for unitary beamforming so as to minimize the interference to the D2D receiver. The interference caused by underlaying D2D communication can be minimized by reducing the D2D transmitter's transmission power. To enhance the cellular users' throughput further, we also investigate codebook generation method in which each code vector belongs to multiple unitary code matrices. From simulation results, we show that the proposed beamforming and user scheduling scheme mitigates D2D interference to the cellular networks and the codebook generation method improves cellular users' throughput.

Coordinated Precoding With Vector Codebook for Cell Boundary Users of MIMO Interference Channel (MIMO 간섭 채널에서 셀 가장자리 사용자를 위한 벡터 코드북 기반 협력 전처리 기법)

  • Kim, Myoung-Seok;Lee, Chungyong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.10
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    • pp.54-59
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    • 2012
  • Multiple antenna transmission and reception, whose principal merits are significant increase in spectral efficiency and/or reduction in error rate, lose much of their effectiveness in high levels of interference from other cells. Incorporating the other cell interference into advanced signal processing at transmitter and receiver is one of the key challenges for cell boundary users in cellular system. Since receiver can obtain exact knowledge of interference channels more easily than transmitter, an interference-aware multiple antenna receiver that can significantly attenuate interferences is considered. Based on the receiver, codebook-based coordinated precoding schemes are proposed. According to the level of cooperation, centralized and distributed schemes are proposed. We verified by the simulation results that even the distributed schemes, which have same amount of feedback and no cooperation between cells, have performance gain compared to the conventional non-coordinated scheme.

Preceding Scheme for Dual Spatial Multiplexing Systems with Limited Feedback (제한된 피드백 정보를 이용하는 이중 공간 다중화 시스템의 Preceding 기법)

  • Lee, Myoung-Won;Mun, Cheol;Yook, Jong-Gwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.17 no.12 s.115
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    • pp.1224-1230
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    • 2006
  • In this paper, for spatial multiplexing with limited feedback, a precoding scheme is proposed based on the joint use of minimal instantaneous feedback and long-term feedback of a small number of bits, wherein the long-term feedback is used to convey a selected preceding matrix within a precodercodebook consisting of a number of unitary matrices, and the active column vectors of the selected unitary matrix are conveyed to the transmitter using instantaneous feedback. Focusing on the case of dual multi-input multi-output(MIMO) systems, precoder codebook design for maximizing the average throughput of a spatial multiplexing system with a zero-forcing(ZF) receiver is proposed. It is shown that the proposed scheme provides a considerable throughput enhancement over multi-mode antenna selection and multi-mode basis selection only with the additional long-yterm feedback of a small number of bits. For example, the throughput increases by 11.5 % than antenna selection and 5.1% than basis selection, respectively, when SNR=20 dB.

Codebook Design and Centralized Scheduling for Joint Transmission SDMA with Limited Feedback (제한된 피드백을 사용하는 결합 전송 공간 분할 다중 접속 기술을 위한 코드북 설계와 집중 스케줄링)

  • Mun, Cheol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.10
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    • pp.1180-1187
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    • 2012
  • In this paper, joint transmission space division multiple access(JT-SDMA) scheme is proposed to mitigate inter-cell interference(ICI) in cooperative wireless communications system with limited feedback. We propose a systematic design method for a codebook consisting of a finite number of unitary matrices suitable for network multiple-input multiple-output( MIMO) channel characteristics. A centralized cluster scheduling scheme is proposed to both mitigate ICI and maximizes multiuser diversity gain with limited feedback. It is shown that the proposed JT-SDMA scheme outperforms a existing coordinated SDMA scheme even in wireless network environments where sufficient multiuser diversity order can not be provided through efficient ICI mitigation.

Call Admission Control in ATM by Neural Networks and Fuzzy Pattern Estimator (신경망과 퍼지 패턴 추정기를 이용한 ATM의 호 수락 제어)

  • Lee, Jin-Lee
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.8
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    • pp.2188-2195
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    • 1999
  • This paper proposes a new call admission control scheme utilizing an inverse fuzzy vector quantizer(IFVQ) and neuralnet, which combines benefits of IFVQ and flexibilities of FCM(Fuzzy-C-Means) arithmetics, to decide whether a requested call not to be trained in learning phase to be connected or not. The system generates the estimated traffic pattern for the cell stream of a new call, using feasible/infeasible patterns in codebook, fuzzy membership values that represent the degree to which each pattern of codebook matches input pattern, and FCM arithmetics. The input to the NN is the vector consisted of traffic parameters which are the means and variances of the number of cells arriving in decision as to whether to accept or reject a new call depends on whether the NN is used for decision threshold(+0.5). This method is a new technique for call admission control using the membership values as traffic parameter which declared to CAC at the call set up stage, and this is valid for a very general traffic model in which the calls of a stream can belong to an unlimited number of traffic classes. Through the simulations, it is founded the performance of the suggested method outperforms compared to the conventional NN method.

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Adaptive Cooperative Relay Transmission Technique Using Closed-loop MIMO Scheme for Duplex Communication System (양방향 통신 시스템에서 폐회로 다중 안테나 기법을 적용한 적응형 협동 중계 전송 기술)

  • Lee, Kwan-Seob;Kim, Young-Ju
    • Journal of Broadcast Engineering
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    • v.15 no.2
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    • pp.157-162
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    • 2010
  • In this paper, We propose that the adaptive cooperative relay transmission technique using closed-loop MIMO scheme for duplex communication system. As the mobility between relay and base station is little, closed-loop MIMO is better diversity gain than open-loop MIMO. At this time, more than one relaying terminals are included in one cooperative group to share their transmission and take precoding weight feedback. For minimization of throughput reduction caused by increasing feedback bits, we use codebook-based MRT that limit the number of feedback bits. Among the cooperative relay group, the best relays are selected from the base stataion and get the feedback. A protocol senarios are also proposed for this relay system.

BTC-based Image Compression using Pattern (패턴을 이용한 블록 절단 부호화 기반의 영상 압축)

  • Kim, Cheonshik;Oh, Jae-Whan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.77-83
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    • 2015
  • Block Truncation Coding, or BTC, is a type of lossy image compression technique for grayscale images. It divides the original images into blocks and then reduces the number of grey levels in each block to compute the mean and standard deviation. BTC has also been adapted to video compression. Another variation of BTC is Absolute Moment Block Truncation Coding. AMBTC is computationally simpler than BTC. In this paper, we proposed new image compression method based on BTC, which is applied patterns to improve compression rate and image quality. This method make two codebooks to extract 36 and 64 patterns from the highest frequency patterns in BTC. When you are compressing an image, you compare many block patterns to that of codebook and use to compress indexes of identical patterns. We experiment our proposed scheme with 36 patterns and the experimental results showed the compression rate of 1.37 bpp. In this paper, our proposed scheme showed higher compression rate rather than that of BTC. In experiment, we used standard images for the performance evaluation.

Improving Clustering-Based Background Modeling Techniques Using Markov Random Fields (클러스터링과 마르코프 랜덤 필드를 이용한 배경 모델링 기법 제안)

  • Hahn, Hee-Il;Park, Soo-Bin
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.1
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    • pp.157-165
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    • 2011
  • It is challenging to detect foreground objects when background includes an illumination variation, shadow or structural variation due to its motion. Basically pixel-based background models including codebook-based modeling suffer from statistical randomness of each pixel. This paper proposes an algorithm that incorporates Markov random field model into pixel-based background modeling to achieve more accurate foreground detection. Under the assumptions the distance between the pixel on the input imaging and the corresponding background model and the difference between the scene estimates of the spatio-temporally neighboring pixels are exponentially distributed, a recursive approach for estimating the MRF regularizing parameters is proposed. The proposed method alternates between estimating the parameters with the intermediate foreground detection and estimating the foreground detection with the estimated parameters, after computing it with random initial parameters. Extensive experiment is conducted with several videos recorded both indoors and outdoors to compare the proposed method with the standard codebook-based algorithm.