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Iranian Conference on Intelligent Systems (ICIS)

作者： Mirzaei, Behzad Nezamabadi-pour, Hossein Abbasi-moghadam, Dariush Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran

ISBN: (纸本)9781479933501

Vector quantization (VQ) is a lossy compression technique that mainly includes three stages: codebook generation, encoding and decoding. The efficiency of VQ extremely depends on the achieved codebook quality. The most commonly used method for VQ codebook generation, is the Linde-Buzo-Gray (lbg) algorithm. High sensitivity to initial codebook, is mentioned as one of the drawbacks of lbg algorithm. An effective codebook initialization technique in lbg algorithm has been proposed in this paper. The subtractive clustering has been employed to generate a proper initial codebook. Experimental results show that compared with other methods like common lbg algorithm and cluster density method, less RMSE and higher PSNR, is achieved owing to use presented method.

关键词： Vector quantization Codebook generation Codeword lbg algorithm Mountain method Subtractive clustering

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An Improved lbg algorithm for Image Vector Quantization

An Improved LBG Algorithm for Image Vector Quantization

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3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)

作者： Huang, Bang Xie, Linbo Jiangnan Univ Inst Syst Engn Wuxi Peoples R China

ISBN: (纸本)9781424455379

An improved lbg algorithm for vector quantization is introduced in this paper. Its basic idea is classifying the input vectors based on space partition with a variational distance threshold. Firstly, set the value of distance adjusting factor and cipher out the initial distance threshold, and then the input vectors will be classified into the corresponding cells or to be new clustering vectors. After that, select the clustering vectors which have less input vectors in their cells than average vector number, and delete these cells. Thirdly, update the input vector set and decrease the distance threshold, continue to the next iteration until the number of selected clustering vectors meet requirement. Finally, consider these clustering vectors as the initial codebook for lbg algorithm. The simulation results show that the reduction of iteration times is outstanding and the effect of reconstructed images is heightened obviously.

关键词： VQ initial codebook lbg algorithm clustering algorithm

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SAR RAW DATA PROCESSING APPROACH BASED ON A COMBINATION OF lbg algorithm AND COMPRESSED SENSING

SAR RAW DATA PROCESSING APPROACH BASED ON A COMBINATION OF L...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Zhang, Qun Zhu, Feng Deng, Donghu Gu, Fufei Li, Kaiming AFEU Inst Telecommun Engn Xian 710077 Shaanxi Peoples R China

ISBN: (纸本)9781467311595

Aimed at the problem of how to diminish SAR raw data apparently and realize SAR imaging effectively, a new approach for processing SAR raw data combined with Linde-Buzo-Gray (lbg) algorithm and Compressed Sensing (CS) is proposed in this paper. For SAR returned signals, CS is engaged to reduce the sampling number in the pulse duration, and lbg algorithm as a classical vector quantization (VQ) method, is employed to diminish encode number of every sample value. Next, data reconstruction process still contains the two ordinal steps according to lbg algorithm and CS theory, respectively. On the basis of that, the traditional SAR imaging method, Frequency Scaling (FS) algorithm, is carried out to achieve the final SAR image. Simulation results show that the high quality SAR image can be achieved on condition of the SAR raw data is diminished furthermore obviously, which is compared with the traditional method.

关键词： SAR raw data lbg algorithm Compressed Sensing Frequency Scaling algorithm compressing rate

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A novel codebook design with the lbg algorithm in precoding systems under spatial correlated channel

A novel codebook design with the LBG algorithm in precoding ...

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2010 International Conference on Communications, Circuits and Systems, ICCCAS 2010

作者： Zhang, Yueying Long, Hang Shen, Shanshan Zheng, Kan Wang, Wenbo Wireless Signal Processing and Network Laboratory Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781424482238

Precoding is an efficient approach to obtain high channel capacities and high quality in multiple-input-multipleoutput systems and draws much attention in recent researches. In the codebook-based precoding systems, the tradeoff between performance and feedback overhead should be considered. In this paper, a novel version of the Linde-Buzo-Gray (lbg) algorithm is first utilized in the codebook design by redefining a set of operations in the conventional lbg algorithm. Moreover, the codebook can be trained online under spatial correlated channel adapting to the channel variation. Simulation results demonstrate that the proposed codebook design achieves better robustness, smaller quantization error and higher capacity than the traditional fixed uniform codebook design does. © 2010 IEEE.

关键词： lbg algorithm Linde-Buzo-Gray algorithm MIMO communication codebook design correlation methods encoding multiple input multiple output systems precoding system spatial correlated channel wireless channels

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HYBRID GLOBAL/LOCAL SEARCH STRATEGIES FOR VQ CODEBOOK GENERATION BASED ON OTSU AND lbg algorithm

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2010年第6期6卷 2645-2656页

作者： Huang, Chang-Chin Tsai, Du-Shiau Horng, Gwoboa Natl Chung Hsing Univ Dept Comp Sci & Engn Taichung 402 Taiwan Hsinping Inst Technol Dept Informat Networking Technol Taichung 412 Taiwan

Vector quantization algorithms have been extensively used for image compression, pattern recognition, image steganography, image retrieval, and anomaly intrusion detection. For large N(p) training vectors and N(c) clusters, vector quantization algorithms can hardly find the global optimal Classification without requiring a great deal of the squared Euclidean distance calculation. This paper proposes an efficient global division algorithm based on histogram threshold to improve computation time of the squared Euclidean distance from O(kN(p) log N(c)) to O(kN(p)N(c)). The experimental results and comparisons show that the global division algorithm can reduce computational complexity, find better codewords to improve the quality of the codebook and cooperate with the local search algorithm to tune it efficiently.

关键词： Vector quantization Codebook generation Histogram threshold Clustering lbg algorithm Global optimal Local optimal

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SAR RAW DATA PROCESSING APPROACH BASED ON A COMBINATION OF lbg algorithm AND COMPRESSED SENSING

SAR RAW DATA PROCESSING APPROACH BASED ON A COMBINATION OF L...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Qun Zhang Feng Zhu Donghu Deng Fufei Gu Kaiming Li Inst. of Telecommunication Engineering

ISBN: (纸本)9781467311601

关键词： SAR raw data lbg algorithm Compressed Sensing Frequency Scaling algorithm Compressing rate

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Study on Automatic Classification of Size Designation in Clothing MC Based on Improved lbg algorithm

Study on Automatic Classification of Size Designation in Clo...

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第二届先进纺织材料及加工技术国际会议

作者： Fengyuan Zou,Li Dong,Lifeng Pan,Xiaojun Ding,Minzhi Chen(Fashion College,Zhejiang Sci-Tech University Key Laboratory of Advanced Textile Materials and Manufacturing Technology,Ministry of Education of China,Zhejiang Sci-Tech University,Hangzhou 310018,China)

Automatic classification of size designation is a difficult part in clothing *** needs the accumulation of years' practical *** the application of the improved lbg algorithm which can simulate the technique and experience of classification into automatic classification of size designation in MC,it realizes the automatic mapping from net body-measurements of MC customers to series of size designation and improves the production efficiency of mass customization.

关键词： Clothing MC Classification of size designation Vector quantization lbg algorithm

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An Improved lbg algorithm for Image Vector Quantization

An Improved LBG Algorithm for Image Vector Quantization

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Bang Huang Institute of System Engineering,Jiangnan University Wuxi,China Linbo Xie Institute of System Engineering,Jiangnan University Wuxi,China

An improved lbg algorithm for vector quantization is introduced in this *** basic idea is classifying the input vectors based on space partition with a variational distance ***,set the value of distance adjusting factor and cipher out the initial distance threshold,and then the input vectors will be classified into the corresponding cells or to be new clustering *** that,select the clustering vectors which have less input vectors in their cells than average vector number,and delete these ***,update the input vector set and decrease the distance threshold,continue to the next iteration until the number of selected clustering vectors meet ***,consider these clustering vectors as the initial codebook for lbg *** simulation results show that the reduction of iteration times is outstanding and the effect of reconstructed images is heightened obviously.

关键词： VQ initial codebook lbg algorithm clustering algorithm

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Using an Enhanced lbg algorithm to Reduce the Codebook Error in Vector Quantization 00

Using an Enhanced LBG Algorithm to Reduce the Codebook Error...

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Proceedings of the International Conference on Computer Graphics

作者： Jörg Haber Hans-Peter Seidel

ISBN: (纸本)9780769506432

In this paper, we present a modification of the well-known lbg algorithm for the generation of codebooks in vector quantization. Our algorithm, denoted as the Ilbg algorithm, reduces the codebook error of the lbg algorithm drastically in typical applications. In our experiments, we were able to achieve up to 75% reduction of the codebook error in only a few additional iteration steps. In the context of lossy image compression, this error reduction leads to an increase of 2-3dB of the peak-signal-to-noise-ratio (PSNR) in turn.

关键词： vector quantization lbg algorithm codebook error reduction

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An improved lbg clustering algorithm based on Bayesian information criterion 14

An improved LBG clustering algorithm based on Bayesian infor...

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14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Wan, Sisi Wu, Gongyu Department of Network Security No. 30 Research Institute of China Electronics Technology Group Corporation Sichuan Chengdu China Department of Generic Technology Research Southwest China Institute of Electronic Technology Chengdu China

ISBN: (纸本)9798350301359

Cluster analysis is an unsupervised classification method, which is the pretreatment part in data mining. And It is also the key to discovering unknown knowledge. However, the traditional clustering algorithm has some problems such as some algorithms need to predetermine k values, some algorithms can spontaneously search for k values but are not accurate enough and some algorithms can accurately search k values but the computational efficiency is too low. In order to solve the challenge of traditional clustering algorithm. An improved Linde-Buzo-Gray (lbg) clustering algorithm based on Bayesian information criterion was proposed. First, according to the traditional lbg thoughts to cluster and the rough value of k is obtained. After that the Bayesian information criterion was used to optimize each cluster and the exact k value was obtained. The theoretical analysis and simulation results show that the improved algorithm can search for the correct k value with high efficiency for clustering, which is more accurate than several traditional clustering methods. © 2023 IEEE.

关键词： Bayesian information criterion clustering algorithm Data mining knowledge discovery lbg algorithm

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