• Title/Summary/Keyword: Codebook

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Compressed Channel Feedback for Correlated Massive MIMO Systems

  • Sim, Min Soo;Park, Jeonghun;Chae, Chan-Byoung;Heath, Robert W. Jr.
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.95-104
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    • 2016
  • Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information (CSI) is available at the transmitter. Since there are many antennas, CSI is too large to feed back without compression. To compress CSI, prior work has applied compressive sensing (CS) techniques and the fact that CSI can be sparsified. The adopted sparsifying bases fail, however, to reflect the spatial correlation and channel conditions or to be feasible in practice. In this paper, we propose a new sparsifying basis that reflects the long-term characteristics of the channel, and needs no change as long as the spatial correlation model does not change. We propose a new reconstruction algorithm for CS, and also suggest dimensionality reduction as a compression method. To feed back compressed CSI in practice, we propose a new codebook for the compressed channel quantization assuming no other-cell interference. Numerical results confirm that the proposed channel feedback mechanisms show better performance in point-to-point (single-user) and point-to-multi-point (multi-user) scenarios.

Object Recognition utilizing Complementary Feature-point-based descriptor containing color information (컬러 정보를 포함하는 보완적 특징점 기반 기술자를 활용한 객체인식)

  • Jang, Young-Kyoon;Kim, Ju-Whan;Moon, Seung-Geon;Nam, Tek-Jin;Kwon, Dong-Soo;Woo, Woon-Tack
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.341-343
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    • 2012
  • 본 논문에서는 기존의 특징점 기반 객체 인식 방법의 확장으로 보완적 특징점 기반의 컬러 정보를 포함하는 기술자를 활용하는 객체 인식 방법을 제안한다. 제안하는 방법은 무늬가 적은 객체에서도 에지의 위치를 샘플링함으로써 보완적 특징점을 생성해 낸다. 그리고 검출된 보완적 특징점으로부터 얻어지는 그레이 값 변화도방향 정보와 컬러 정보를 가지고 있는 기술자를 생성한다. 그리고 생성된 기술자를 객체 단위로 묶어 낼 수 있도록 하는 코드북(Codebook)을 학습함으로써 각 객체를 구분해 낼 수 있는 강건한 히스토그램를 생성한다. 생성된 코드북을 활용함으로써 제안하는 방법은 객체의 크기 및 환경 변화, 3차원 회전의 경우에도 기존의 방법보다 강건하게 인식한다. 실험 결과 제안하는 방법은 75.8% 인식률을 보이는 것을 확인하였다. 이 방법은 증강현실 응용에 정보 제시를 위해 가장 먼저 이루어지는 핵심 기술로써 활용될 수 있다.

A code-based chromagram similarity for cover song identification (커버곡 검색을 위한 코드 기반 크로마그램 유사도)

  • Seo, Jin Soo
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.3
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    • pp.314-319
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    • 2019
  • Computing chromagram similarity is indispensable in constructing cover song identification system. This paper proposes a code-based chromagram similarity to reduce the computational and the storage costs for cover song identification. By learning a song-specific codebook, a chromagram sequence is converted into a code sequence, which results in the reduction of the feature storage cost. We build a lookup table over the learned codebooks to compute chromagram similarity efficiently. Experiments on two music datasets were performed to compare the proposed code-based similarity with the conventional one in terms of cover song search accuracy, feature storage, and computational cost.

Lattice Code of Interference Alignment for Interference Channel with 3 Users in CoMP (세 명의 사용자의 간섭 채널을 위한 협력 다중점 송수신(CoMP)에서의 격자(Lattice) 부호 간섭 정렬)

  • Lee, Moon-Ho;Peng, Bu Shi
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.6
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    • pp.27-38
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    • 2012
  • In this paper, we introduce CoMP in 3GPP LTE-Advanced Release 11 to take care of shadowing effects appearing in cell-edge areas to meet rapidly increasing demand for high speed transmission and multi-media data. In order to mitigate interference, orthogonalizing is ideal but it is slightly difficult to be applied to real systems. Therefore, interference alignment and avoidance are used in practical applications. Interference alignment is a scheme enabling us to consider interference our friend not enemy. We show lattice codes in Gaussian channel achieve Shannon capacity where strong interference exists. In addition, we show the relationship between channel parameter a and DoF(Degree of Freedom) applying lattice codes to interference alignment for interference channel with three users.

Feedback Scheme for STBC-Spatial Multiplexing OFDM System with outdated channel feedback (지연된 귀환 채널 정보를 가지는 STBC-공간다중화 OFDM 시스템을 위한 귀환 기법)

  • Lim Jong-Kyoung;Hwang Hyeon-Chyeol;Seo Myoung-Seok;Kwak Kyung-Sup
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.4 s.346
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    • pp.31-38
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    • 2006
  • In this paper, we propose an efficient preceding scheme for STBC-Spatial Muiltiplexing OFDM systems. In MIMO systems, the precoder is designed on the assumption that feedback channel information is perfectly known to transmitter and receiver. However, feedback delay and link errors in real environment make the transmitter use the incorrect channel information and consequently cause the performance degradation. The proposed precoder is designed to compensate for the performance degradation by the diversity gain provided by STBC. At the transmitter, the precoder for each subcarrier is constructed by using the index of codebook, subcarrier correlation, and auto correlation of channel. From the simulation results, STBC-spatial multiplexing OFDM outperforms the preceded-spatial multiplexing OFDM at $SER=10^{-3}$ when the Doppler frequency is greater than 60Hz.

Data Cleaning and Integration of Multi-year Dietary Survey in the Korea National Health and Nutrition Examination Survey (KNHANES) using Database Normalization Theory (데이터베이스 정규화 이론을 이용한 국민건강영양조사 중 다년도 식이조사 자료 정제 및 통합)

  • Kwon, Namji;Suh, Jihye;Lee, Hunjoo
    • Journal of Environmental Health Sciences
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    • v.43 no.4
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    • pp.298-306
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    • 2017
  • Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

A Study on Isolated Word Recognition using Improved Multisection Vector Quantization Recognition System (개선된 MSVQ 인식 시스템을 이용한 단독어 인식에 관한 연구)

  • An, Tae-Ok;Kim, Nam-Joong;Song, Chul;Kim, Soon-Hyeob
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.2
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    • pp.196-205
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    • 1991
  • This paper is a study on the isolated word recognition of speaker independent which proposes to newly improved MSVQ(multisection vector quantization) recognition system which improve the classical MSVQ recognition system. It is a difference that test pattern has on more section than reference pattern in recognition system 146 DDD area names are selected as recognition vocabulary. 12th LPC cepstral coefficients is used as feature parameter. and when codebook is generated, MINSUM and MINMAX are used in finding the centroid. According to the experiment result. it is proved that this method is better than VQ(vector quantization) recognition methods, DTW(dynamic time warping) pattern matching methods and classical MSVQ methods for recognition rate and recognition time.

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On the Lower Level Laplacian Pyramid Image Coding Using Vector Quantization (벡터 양자화를 이용한 저층 라플라시안 피라미드 영상의 부호화에 관한 연구)

  • 김정규;정호열;최태영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.3
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    • pp.213-224
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    • 1992
  • An encoding technique based on region splitting and vector quantization is proposed for the lower level Laplacian pyramid images. The lower level Laplacian pyramid images have lower variance than higher levels but a great influence on compression ration due to large spatial area. And so from data compression viewpoint, we subdivide them with variance thresholding into two regions such as one called : flat region” and the other “edge region”, and encode the flat region with its mean value and the edge region as vector quantization method. The edge region can be reproduced faithfully and significant improvement on compression ratio can be accomplished with a little degradation of PSNR in spite of the effect of large flat region since the codebook used is generated from the edge region only on from the entire image including the flat region. It can be verified by computer simulation results that proposed method is more efficient in compression ratio and processing time than the conventional encoding technique of vector quantization.

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An Algorithm on Improving a Pitch Searching by Energy Compensation in a Frame for Vocoder (보코더에서 프레임별 에너지 보상에 의한 피치검색 성능 개선에 관한 연구)

  • Baek, Geum-Ran;Min, So-Yeon;Bae, Myung-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.7
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    • pp.3188-3193
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    • 2012
  • It is important to search a pitch for vocoder. The major drawback to vocoders is their large computational requirements in searching a pitch and a codebook. In this paper, a simple method is proposed to improve the pitch searching process in the pitch filter almost without degradation of quality. The period of speech signal is emphasized by using Dual Pulse technique, the same type of autocorrelation method, in pitch search. Sometimes the incorrect pitch can be obtained by halving, doubling and trifling, To solve it, before searching a pitch, we estimate energy rate in a frame and compensate envelop of signal with it. By using the proposed algorithm in pitch search, its required computation are reduced and searching pitch is improved.

Designing a Quantizer of LPC Parameters for the Narrowband Speech Coder using Block-Constrained Trellis Coded Quantization (블록 제한 트렐리스 부호화 양자화 기법을 이용한 협대역 음성 부호화기용 LPC 계수 양자화기 설계)

  • Jun, Ja-Kyoung;Park, Sang-Kuk;Kang, Sang-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.3C
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    • pp.234-240
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    • 2007
  • In this paper, low complexity block constrained trellis coded quantization (BC-TCQ) structures are introduced, and a predictive BC TCQ encoding method is developed for quantization of line spectrum frequencies (LSF) parameters for narrowband speech coding applications. Trellis-coded quantization(TCQ) is a form of VQ that builds the VQ codebook from interleaved constituent scalar quantization codebooks. The performance is compared to the other VQ, demonstrating reduction in spectral distortion and significant reduction in encoding complexity. The predictive BC-TCQ is about 0.47107 dB superior to the IS-641 split-VQ, 26bits/frame, in spectral distortion sense. The BC-TCQ is 64.54%, 76.93%, 2.35% of the IS-641 split-VQ, respectively, in the complexity of the additions, multiplies, comparisons.