• Title/Summary/Keyword: vector decomposition

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Image compression through projection of wavelet coefficients (웨이브릿 계수들이 투영을 이용한 영상압축 알고리즘)

  • 김철우;이승준;이충웅
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.9
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    • pp.80-87
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    • 1996
  • This paper proposes an image compression algorithm that adopts projection scheme on wavelet transform domain of image signal. Wavelet decomposed image is encoded by the result of projection along one direction out of eight which approximates the coefficients most closely to the originally transformed coefficients. These projectrion data are vector quantized using separate codebooks depending on the decomposition level and orientation of decomposed of image. Experimental results reveals that proposed scheme shows excellent performance in PSNR manner and also shows good subjective quality.

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REGULARIZED ELSENSTELN SERIES ON METAPLECTIC GROUPS

  • Park, Young-Ho
    • Communications of the Korean Mathematical Society
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    • v.9 no.4
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    • pp.783-796
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    • 1994
  • Let V be a vector space of dimension m over Q, and let (, ) be a non-degenerate bilinear form on V. Let r be the Witt index of V, and let $V = V' + V_0 + V"$ be the Witt decomposition, where $V_0$ is anisotropic and V', V" are paired non-singularly. Let H = O(m-r, r) be the isometry group of V, (, ), viewed as an algebraic group over Q. Let G = Sp(n) be the symplectic group of rank n defined over Q.ed over Q.

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A Study on the Efficiency of KTB Forward Markets (국채선도금리(Forward rate)의 효율성(Efficiency)에 관한 연구)

  • Moon, Gyu-Hyun;Hong, Chung-Hyo
    • The Korean Journal of Financial Management
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    • v.22 no.2
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    • pp.189-212
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    • 2005
  • This study examines the interactions between KTB spot and futures markets using the daily prices from March 4, 2002 to January 31, 2005. We use Granger causality test, impulse Response Analysis and Variance Decomposition through vector autoregressive analysis (VAR). However, considering the long-term relationships between the level variables of KTB spot and futures, we introduced Vector Error Correction Model. The main results are as follows. According to the results of Granger-causality test and impulse response analysis, we find that the yields of KTB forward have a great influence on the change of KTB spot but not vice versa. In terms of volatility analysis, there is no inter-dependence between KTB forward and spot markets. In the variance decomposition analysis we find that the short-term KTB forward has much more impact on the KTB spot market than the long-term KTB forward does. We think these results are meaningful for bond investors who are in charge of capital asset pricing valuation, risk management and international portfolio management.

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Perceptual Decomposition and Sequential Principal Edge Vector Quantization of DCT Coefficients for Image Coding (영상 부호화를 위한 DCT 계수의 시각적 분석 및 순차적 규에지 벡터 양자화)

  • 강동욱;송준석;이충웅
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.1
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    • pp.64-72
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    • 1995
  • We propose a new image coding method which takes into account both statistical redundancy and perceptual irrelevancy of the DCT coefficients so as to provide a high quality of the reconstructed images with a reduced transmission bit rate First, a block of DCT coefficients are decomposed into 16 subvectors so as for a subvector to convey key information about one of the low-pass or the dirctional filtered images. Then, the most significant subvector is selected as the principal edge of the block and then vector quantized. After that, the residuals of the block are computed and then sequentially quantized through aforementioned procedure until the quantization distortion is smaller than the target distortion. The proposed scheme is good at encoding images with a variety of transmission bit rates, especially at very low bit rate coding. In addition, it is another benifit of the proposed scheme that an image can be quantized with a wide range of the transmission bit rates by simply adapting the stopping criterion of the sequential vector quantizer according to the target distortion of the reconstructed image.

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An optimal codebook design for multistage gain-shape vector quantizer using genetic algorithms (유전알고리즘에 의한 다단 gain-shape 양자화기의 최적 코드북 설계)

  • 김대진;안선하
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.1
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    • pp.80-93
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    • 1997
  • This paper proposes a new technique of optimal codebook design in multistage gain-shape vector quantization (MS-GS VQ) for wireless image communication. An original image is divided into a smany blocks as possible in order to get strong robustness to channel transmission errors: the original image is decomposed into a number of subband images, each of which contains a sperate spatial frequency information and is obtained by the biorthogonal wavlet transform; each subband is separated into several consecutive VQ stages, where each stage has a residual information of the previous stage; one vector in each stage is divided into two components-gain and shape. But, this decomposition genrates too many blocks and it thus makes the determination of optimal codebooks difficult. We overcome this difficulty by evolving each block's codebook independently with different genetic algorithm that uses each stage's individual training vectors. Th eimpact of th eproposed VQ technique on the channel transmission errors is compared with that of other VQ techniques. Simulation results show that the proposed VQ technique (MS-GS VQ) with the optimal codebook designe dy genetic algorithms is very robust to channel transmission errors even under the bursty and high BER conditions.

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The Modified Two-axis Vector Controller of Linear Induction Motor to Apply to the Non-contact Stage with Large Workspace (대면적 비접촉 스테이지에 구동기 적용을 위한 선형유도기의 변형된 2축 벡터 제어기)

  • Jung, Kwang-Suk;Lee, Sang-Heon
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.4
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    • pp.385-391
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    • 2008
  • To effectively cope with a complexity of kinematic metrology due to workspace enlargement of the planar stage, the linear induction motor is suggested as its new driving source. Especially, the linear induction motor under uniform plate type of secondary doesn't inherently have a periodical force ripple which is generally shown in the brushless DC motor. But, it presents a poor transient characteristic at zero or low speed zone owing to time delay of flux settling, resulting in slow response. To improve the servo property of linear induction motor and apply successfully it to the precision stage, this paper discusses a modified vector control methodology. The controller has a novel input form, fixed d-axis current, q-axis current and forward-fed DC current, to control thrust force and normal force of the linear induction motor independently. Influence of the newly introduced input and the feasibility of controller are validated experimentally.

An Analysis of Money Supply in Indonesia: Vector Autoregressive (VAR) Approach

  • YULIADI, Imamudin
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.241-249
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    • 2020
  • The role of money in the modern economy highly determines the intensity and the development of the macroeconomy. The money supply is assumed to be as much as money demand, which reflects the economic character of a country and indicates the growth and development of macroeconomy. In Indonesia, the money supply (M1) is related to the economic dynamics in either the monetary market or the goods market. This research aims at analyzing factors that influence the money supply and to what extent the economic factors affect the money supply in Indonesia. The analysis method used in this research was Vector Autoregressive (VAR) with some variables, such as money supply (M1), interest rate, and Gross Domestic Product (GDP) from the 1st quarter of 2001 until the 1st quarter of 2013. The data collection method was in the form of data compilation from credible sources, such as Bank of Indonesia (BI), Central Bureau of Statistics (CBS), and International Financial Statistics (IFS). To obtain adequate analysis results, several tests were taken, such as unit-root test, Granger causality test, and optimal lag. VAR analysis formulates the correlation among independent variables, so it also sees the study of impulse response and matrix decomposition.

Design and Implementation of Hi-speed/Low-power Extended QRD-RLS Equalizer using Systolic Array and CORDIC (시스톨릭 어레이 구조와 CORDIC을 사용한 고속/저전력 Extended QRD-RLS 등화기 설계 및 구현)

  • Moon, Dae-Won;Jang, Young-Beom;Cho, Yong-Hoon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.6
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    • pp.1-9
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    • 2010
  • In this paper, we propose a hi-speed/low-power Extended QRD-RLS(QR-Decomposition Recursive Least Squares) equalizer with systolic array structure. In the conventional systolic array structure, vector mode CORDIC on the boundary cell calculates angle of input vector, and the rotation mode CORDIC on the internal cell rotates vector. But, in the proposed structure, it is shown that implementation complexity can be reduced using the rotation direction of vector mode CORDIC and rotation mode CORDIC. Furthermore, calculation time can be reduced by 1/2 since vector mode and rotation mode CORDIC operate at the same time. Through HDL coding and chip implementation, it is shown that implementation area is reduced by 23.8% compared with one of conventional structure.

Hybrid Coding for Multi-spectral Satellite Image Compression (다중스펙트럼 위성영상 압축을 위한 복합부호화 기법)

  • Jung, Kyeong-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.1-11
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    • 2000
  • The hybrid coding algorithm for multi-spectral image obtained from satellite is discussed. As the spatial and spectral resolution of satellite image are rapidly increasing, there are enormous amounts of data to be processed for computer processing and data transmission. Therefore an efficient coding algorithm is essential for multi-spectral image processing. In this paper, VQ(vector quantization), quadtree decomposition, and DCT(discrete cosine transform) are combined to compress the multi-spectral image. VQ is employed for predictive coding by using the fact that each band of multi-spectral image has the same spatial feature, and DCT is for the compression of residual image. Moreover, the image is decomposed into quadtree structure in order to allocate the data bit according to the information content within the image block to improve the coding efficiency. Computer simulation on Landsat TM image shows the validity of the proposed coding algorithm.

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A Weak Signal Detection Algorithm in Clutter Environment for Indoor Location Estimation based on IR-UWB Radar (IR-UWB 레이더 기반의 실내 위치 추정을 위한 클러터 환경에서 미약신호 검출 알고리즘)

  • Younguk Yun;Jung-woo Sohn;Youngok Kim
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.10-17
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    • 2023
  • Purpose: In this paper, a distance estimation technique for indoor location estimation using IR-UWB is proposed and researched. We propose an algorithm that can increase the SNR lowered due to clutter or noise in an indoor environment. Method: In order to clutter suppression and detect weak signals, we analyze the existing studies of background remover, correlation, and singular vector decomposition techniques and propose an algorithm. Result: The proposed algorithm, the average error was 0.57m up to 11.5m, and the error were 0.49m from 6m to 11.5m. the average error rate was reduced by about 1m compared to the previous study. Conclusion: It can be used as a technique for detecting weak signals in clutter and noise environments for distance or location estimation, and can also be used as a human life detection technique to reduce damage to people in a disaster situation by using UWB radar which has highly transparent.