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检索条件"主题词=Compression Algorithms"

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ECG signal compression using wavelets. Preliminary results

ECG signal compression using wavelets. Preliminary results

引用

International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Beatrice Arvinti Corina Nafornita Isar Alexandru Marius Costache Department of Physical Foundations of Engineering Politehnica University Timisoara Romania Communications Department Electronics and Telecommunications Faculty Politehnica University Timisoara Romania

The ECGs transmission problem becomes actual nowadays due to the tremendous progress in communications. One of the major aspects of the transmission is the source coding (compression). The wavelet theory becomes a tool frequently used in compression. The aim of this paper is a very fast compression algorithm based on wavelets. Some simulation results prove the performance of the proposed algorithm.

关键词： Electrocardiography Wavelet coefficients Quantization Discrete wavelet transforms Noise reduction compression algorithms Encoding

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A low power JPEG image compression IC for wireless ingestible endoscopy

A low power JPEG image compression IC for wireless ingestibl...

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International Symposium on Integrated Circuits (ISIC)

作者： Wei-Da Toh Bin Zhao Yuan Gao Yuanjin Zheng Minkyu Je Chun-Huat Heng Institute of Microelectronics ASTAR (Agency for Science Technology and Research) Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

In this paper, a low power baseline JPEG image compressor architecture, to be interfaced directly with an image sensor, has been presented. It compresses the raster YCbCr 4:2:2 image data from the image sensor into JPEG format. The compressed image data are being packed into byte format and DMA can be used to retrieve the JPEG image. The JPEG image compression chip is designed using 0.18-μm CMOS technology. It consumes 1.69mW when compressing at 7.49 (VGA) frames per second.

关键词： Transform coding Image coding Discrete cosine transforms Random access memory Image sensors compression algorithms Registers

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A simple and effective lossless compression algorithm for video display frames

A simple and effective lossless compression algorithm for vi...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Huang-Chih Kuo Youn-Long Lin Department of Computer Science National Tsing Hua University HsinChu Taiwan

We propose a simple and effective lossless compression algorithm for video display frames. It combines a dictionary-based compression algorithm and the Huffman coding method to achieve a high compression ratio. We quantitatively analyze the characteristics of display frame data and propose the algorithm accordingly. We first use a dictionary-based algorithm and an adaptive quotient bit truncation method to generate codewords for all video pixels. Then, we employ the Huffman coding scheme to assign bit values to the codewords. Finally, we apply a simple algorithm to further reduce the size of the codeword bits. Compared with previous works, the proposed algorithm achieves at least 13% improvement in data reduction ratio.

关键词： compression algorithms Dictionaries Algorithm design and analysis Video sequences Huffman coding Prediction algorithms

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Efficient data compression using character replacement through generated code

Efficient data compression using character replacement throu...

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National Conference on Emerging Trends and Applications in Computer Science (NCETACS)

作者： Debashish Chakroborty Sandipan Bera Anil Kumar Gupta Soujit Mondal Department of Computer Science & Engineering Saint Thomas College of Engineering and Technology Kolkata West Bengal India Department of Computer Science & Engineering and Information Technology Saint Thomas College of Engineering and Technology Kolkata West Bengal India

The algorithm employs a technique which unlike other is independent of repetition. It is based on the replacement of characters through generated code. The total characters used in a file can be arranged in the different dimension of a matrix. Each cell of the matrix will contain a unique code, which will be replaced for respective combination of characters. Further, the codes can be reduced to the binary system to get the final compressed file. It is a simple compression and decompression process which is free from huge dictionary and time complexity and moreover the codes are generated for each combination, hence independent of repetition.

关键词： Data compression Arrays Image coding Algorithm design and analysis Particle separators Redundancy compression algorithms

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A New SIP compression Mechanism with Pretreatment Based on SIGCOMP in IMS

A New SIP Compression Mechanism with Pretreatment Based on S...

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International Conference on Internet Technology and Applications (iTAP)

作者： Tao Wen Dongqing Zhang Quan Guo Software Center Northeastern University Shenyang China Department of Computer Science and Technology Neusoft Institute of Information Dalian Liaoning China

IMS was introduced into R5 core network by 3GPP, and SIP was chosen as the call/session control portocol. However, CSIP message's size is becoming a performance bottleneck. Based on the SigComp, this paper gives a new compression algorithm. It includes LZSS and Huffman with pretreatment. And this paper gives a SigComp session delay model. Simulation results prove that the new algorithm can effectively improve performance, reduce the message sizes and shorten delay.

关键词： Channel coding Delay compression algorithms Dictionaries Algorithm design and analysis Probability

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compression algorithm as a tool for EEG data processing

Compression algorithm as a tool for EEG data processing

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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)

作者： Miroslav Svítek Faculty of Transportation Sciences Czech Technical University Prague Czech Republic

The paper presents a new methodology of finding and estimating main features of time series to achieve reduction of their components and thus providing the compression of information contained in it keeping the selected features invariant. The presented compression algorithm is based on estimation of truncated time series components in such a way that the spectrum functions of both original and truncated time series are sufficiently close together. In the end, the set of examples is shown to demonstrate the algorithm performance and to indicate the applications of the presented methodology on EEG (Electroencephalography) signals.

关键词： Time series analysis Electroencephalography Brain modeling Estimation Time measurement compression algorithms Frequency measurement

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Gravitational Task Model Based Bandwidth compression Algorithm for Adaptive Resource Management

Gravitational Task Model Based Bandwidth Compression Algorit...

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Brazilian Symposium on Computing System Engineering (SBESC)

作者： Raphael Guerra Gerhard Fohler Technische Universitat Kaiserslautern Germany

Adaptive resource management uses resource allocation mechanisms to guarantee a minimum availability of required resources to *** this paper, we propose an intuitive and low overhead (linear complexity) bandwidth compression *** overhead is necessary for on-line deployment and intuition provides for easy understanding of the *** resource allocation is proportional to the resource demand and importance of applications, hence providing for fairness and increased overall quality of service (QoS).Our compression algorithm is optimal and we present a qualitative analysis of the intuition, which is based on an analogy with pendulum systems.

关键词： Bandwidth Program processors Resource management compression algorithms Quality of service Force Complexity theory

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Fast saving and restoring virtual machines with page compression

Fast saving and restoring virtual machines with page compres...

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International Conference on Cloud and Service Computing (CSC)

作者： Li Deng Hai Jin Song Wu Xuanhua Shi Jiangfu Zhou Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

More and more enterprises are moving beyond server virtualization to desktop virtualization in recent years. In virtualization environments, centralized shared storage systems are generally used to take advantage of virtualization features such as VM migration. Network file system (NFS) is considered to be the best choice in small or medium sized LANs due to its flexibility and low cost. But it becomes the bottleneck when many clients access the server simultaneously, especially when multiple virtual machines access a large amount of data at the same time, such as operation save and restore. In this paper, we present a new method named ComIO to quickly save and restore virtual machines using page compression. Based on the analysis of virtual machines' memory characteristics, we design a fast enhanced characteristic-based compression (ECBC) algorithm. Combined with multi-threaded techniques, the compression tasks are parallelized for significantly shortened compresssion time. Page boundary alignment is proposed to enable wanted page data to be directly extracted from the compressed block. The experimental results demonstrate that compared with Xen, our method ComIO not only greatly reduces the time spent on saving and restoring virtual machines on average, but also indirectly augments the effective storage space.

关键词： Virtual machining Image coding Instruction sets compression algorithms Servers Image restoration Algorithm design and analysis

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Asymptotic Optimal Lossless compression via the CSE Technique

Asymptotic Optimal Lossless Compression via the CSE Techniqu...

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International Conference on Data compression, Communications and Processing

作者： Hidetoshi Yokoo Department of Computer Science Gunma University Kiryu Japan

A novel loss less compression algorithm known as compression by sub string enumeration (CSE) is analyzed and modified. The CSE compression algorithm is a block-based, off-line method, as is the case with enumerative codes and the block-sorting compression scheme. First, we propose an encoding model that achieves asymptotic optimality for stationary ergodic sources. The codeword length attained by the proposed model converges almost surely to the entropy rate of a source when the length of a string generated by the source tends to infinity. Then, we propose a novel decoding algorithm that requires fewer code words than the original CSE.

关键词： Encoding Decoding Entropy Predictive models compression algorithms Computational modeling Arrays

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Splaying for compression: An Experimental Study

Splaying for Compression: An Experimental Study

引用

Panhellenic Conference on Informatics (PCI)

作者： Dimitris Antoniou Ioannis Kampouris Evangelos Theodoridis Athanasios Tsakalidis Computer Engineering & Informatics Dept University of Patras Patras Greece

In this paper, we propose novel randomized versions of the splay trees. We have evaluated the practical performance of these structures in comparison with the original version of splay trees and with their loglogn-competitive variations, in the application field of compression. In order to evaluate performance, we utilize plain splay trees, their loglog n-competitive variations, and our proposed randomized version with the Chain Splay technique to compress data. It is observed in practice, that the compression achieved in the case of the loglog n-competitive technique is, as intuitively expected, more efficient than the one of the plain splay trees.

关键词： Heuristic algorithms Binary search trees compression algorithms Data compression Image coding DNA

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