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检索条件"主题词=Compression algorithms"

共 2075 条记录，以下是271-280 订阅

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Efficient Lossless compression of CAN Traffic Logs 25

Efficient Lossless Compression of CAN Traffic Logs

引用

25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

作者： Gazdag, Andras Buttyan, Levente Szalay, Zsolt Budapest Univ Technol & Econ Dept Networked Syst & Serv Lab Cryptog & Syst Secur Budapest Hungary Budapest Univ Technol & Econ Fac Transportat Engn & Vehicle Engn Dept Automot Technol Budapest Hungary

ISBN: (纸本)9781538632123

In this paper, we propose a compression method that allows for the efficient storage of large amounts of CAN traffic data, which is needed for the forensic investigations of accidents caused by cyber attacks on vehicles. compression of recorded CAN traffic also reduces the time (or bandwidth) needed to off-load that data from the vehicle. In addition, our compression method allows analysts to perform log analysis on the compressed data, therefore, it contributes to reduced analysis time and effort. We achieve this by performing semantic compression on the CAN traffic logs, rather than simple syntactic compression. Our compression method is lossless, thus preserving all information for later analysis. Besides all the above advantages, the compression ratio that we achieve is better than the compression ratio of state-of-the-art syntactic compression methods, such as gzip.

关键词： Semantics Accidents Forensics Protocols compression algorithms Syntactics

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A linear predictive coding based compression algorithm for fronthaul link in C-RAN

A linear predictive coding based compression algorithm for f...

引用

IEEE/CIC International Conference on Communications in China (ICCC)

作者： Chen, Guangjin Yang, Fangliao Niu, Kai Dong, Chao Beijing Univ Posts & Telecommun Minist Educ Key Lab Universal Wireless Commun Beijing 100876 Peoples R China

ISBN: (纸本)9781538645024

This paper focuses on the data compression for fronthaul link in cloud radio access network (C-RAN). We introduce a linear predictive coding (LPC) based compression algorithm, which includes three main modules, linear predictor, piecewise quantizer and arithmetic coding. The linear predictor is used to eliminate redundancies caused by the correlations of LTE signals. According to the distribution characteristics of the output from the linear predictor, a piecewise quantizer is designed to decrease the quantization noise. To get extra coding gain, arithmetic coding is applied based on the output codebook from the piecewise quantizer. Furthermore, an alphabet reconstruction scheme is proposed to reduce the complexity of arithmetic encoding and decoding. Omitting the up/down-sampling and low-pass filtering operation in traditional schemes, our solution has simpler structure, but demonstrates better compression performance with comparable computational complexity. Remarkably, our scheme presents strong flexibility to different load ratios. Taking 40% load ratio as an example, within 2% error vector magnitude (EVM) distortion, our algorithm can achieve 23% compression ratio for uplink and 17% compression ratio for downlink, which has nearly 15% gain compared with the traditional algorithm.

关键词： Encoding Quantization (signal) Correlation Redundancy Long Term Evolution compression algorithms Complexity theory

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KDI: a wireless ECoG recording platform with impedance spectroscopy, electrical stimulation and real-time, lossless data compression 37

KDI: a wireless ECoG recording platform with impedance spect...

引用

37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Foerster, M. Burdin, F. Safont, F. Bernert, M. Dehaene, D. Lambert, A. Charvet, G. CEA Grenoble LETI CLINATEC MINATEC Campus17 Rue Martyrs F-38054 Grenoble 9 France

ISBN: (纸本)9781424492701

A power-efficient modular wireless platform has been designed for prototyping and pre-clinical evaluations of neural recording implants. This Kit for Designing Implants (KDI) is separated in function specific modules of 34x34mm which can be assembled as needed. This paper presents the design of new modules for this existing wireless KDI platform. These modules cover the functionalities of electrical stimulation for BCI neurofeedback, impedance spectroscopy for monitoring tissue reaction around implanted electrodes and a real-time lossless data compression algorithm for ECoG signals. This algorithm has been implemented using two different hardware solutions and its performances compared. The design and evaluation of these modules are a first step towards the inclusion of these functionalities into the next generation of WIMAGINE (R) implants.

关键词： biomedical electrodes brain-computer interfaces data compression electroencephalography feedback prosthetics BCI neurofeedback ECoG signal Kit for Designing Implant WIMAGINE implant electrical stimulation impedance spectroscopy implanted electrode lossless data compression algorithm neural recording implant tissue reaction monitoring wireless ECoG recording platform wireless KDI platform compression algorithms Electrical stimulation Electrodes Impedance Implants Spectroscopy Wireless communication

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Novel Data compression Algorithm for Process Data

Novel Data Compression Algorithm for Process Data

引用

IEEE Conference on Control Applications (CCA)

作者： Purohit, Amit ABB Corp Res Ctr Control & Optimizat Grp Bangalore 560048 Karnataka India

ISBN: (纸本)9781479974092

Data compression algorithms are used in process plants to store and transmit data for analysis purposes. Amount of data is increasing in process plants due to advances in automation and process monitoring technologies. Process data historians are used in plants to store, manage, retrieve and analyze process data. Process data historians use data compression algorithms to effectively manage large amount of data. Best practiced compression algorithm in process data historians has a severe drawback that it significantly alters the statistical properties of reconstructed data;this results in incorrect analysis results which have financial and safety implications for the process plants. Proposed compression algorithm is designed to preserve the critical statistical properties for process data analysis which supports operational decision making in process plants. Case studies are presented on real plant data and simulated data to compare the performance of proposed algorithm with best practiced algorithm used in process data historians.

关键词： Accuracy Algorithm design and analysis compression algorithms Data compression Principal component analysis Redundancy Transforms compression algorithms Data compression Algorithm design and analysis Transform redundancy Process plants principal components analysis Historian plant data

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Universal variable-length data compression of binary sources using fountain codes

Universal variable-length data compression of binary sources...

引用

IEEE Information Theory Workshop

作者： Caire, G Shamai, S Shokrollahi, A Verdü, S Inst. Eurecom France

ISBN: (纸本)0780387201

This paper proposes a universal variable-length lossless compression algorithm based on fountain codes. The compressor concatenates the Burrows-Wheeler block sorting transform (BWT) with a fountain encoder, together with the closed-loop iterative doping algorithm. The decompressor uses a Belief Propagation algorithm in conjunction with the iterative doping algorithm and the inverse BWT. Linear-time compression/decompression complexity and competitive performance with respect to state-of-the-art compression algorithms are achieved.

关键词： source coding variable length codes binary codes concatenated codes iterative decoding universal data compression variable-length data compression binary sources fountain codes lossless compression algorithm concatenated code Burrows-Wheeler block sorting transform closed-loop iterative doping algorithm linear-time compression/decompression complexity performance decompressor belief propagation algorithm inverse BWT Concatenated codes pressure-relief device variable length codes binary code compression algorithms source coding Iterative decoding fountain Data compression Belief propagation variable length

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Exploiting Adaptive Data compression to Improve Performance and Energy-efficiency of Compute Workloads in Multi-GPU Systems 33

Exploiting Adaptive Data Compression to Improve Performance ...

引用

33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)

作者： Tavana, Mohammad Khavari Sun, Yifan Agostini, Nicolas Bohm Kaeli, David Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA

ISBN: (纸本)9781728112466

Graphics Processing Unit (GPU) performance has relied heavily on our ability to scale of number of transistors on chip, in order to satisfy the ever-increasing demands for more computation. However, transistor scaling has become extremely challenging, limiting the number of transistors that can be crammed onto a single die. Manufacturing large, fast and energy-efficient monolithic GPUs, while growing the number of stream processing units on-chip, is no longer a viable solution to scale performance. GPU vendors are aiming to exploit multi-GPU solutions, interconnecting multiple GPUs in the single node with a high bandwidth network (such as NVLink), or exploiting Multi-Chip Module (MCM) packaging, where multiple GPU modules are integrated in a single package. The inter-GPU bandwidth is an expensive and critical resource for designing multi-GPU systems. The design of the inter-GPU network can impact performance significantly. To address this challenge, in this paper we explore the potential of hardware-based memory compression algorithms to save bandwidth and improve energy efficiency in multi-GPU systems. Specifically, we propose an adaptive inter-GPU data compression scheme to efficiently improve both performance and energy efficiency. Our evaluation shows that the proposed optimization on multi-GPU architectures can reduce the inter-GPU traffic up to 62%, improve system performance by up to 33%, and save energy spent powering the communication fabric by 45%, on average.

关键词： Multi-GPU system Multi-Chip-Module compression algorithms Bandwidth management Performance

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High performance PPMC compression algorithm 4

High performance PPMC compression algorithm

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4th Mexican International Conference on Computer Science (ENC 2003)

作者： Feregrino, C Natl Inst Astrophys Opt & Elect Dept Comp Sci Puebla 72000 Mexico

ISBN: (纸本)0769519156

It has been demonstrated with recent software implementations of context modeling the capability of PPM (Prediction by Partial Matching) [1] type of algorithms to achieve very high compression rates. However, the cost is high in terms of computational complexity and low speed-Hardware implementations of compression algorithms are capable of increasing compression speed by at least an order of magnitude compared with same compression methods implemented in software. In this paper we investigate and study the issues related to the simplification of one PPM type of algorithms, the PPMC [2] to achieve high performance.

关键词： Algorithm design and analysis compression algorithms Computer science Context modeling Costs Data communication Data compression Dictionaries Hardware Probability

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Light field image compression with random access

Light field image compression with random access

引用

Data compression Conference (DCC)

作者： Amirpour, Hadi Pinheiro, Antonio Pereira, Manuela Lopes, Fernando J. P. Ghanbari, Mohammad Inst Telecomunicacoes Covilha Portugal Univ Beira Interior Covilha Portugal Polytech Inst Coimbra ISEC Coimbra Portugal Univ Tehran Sch Elect & Comp Engn Tehran Iran Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England

ISBN: (纸本)9781728106571

In light field compression, besides coding efficiency, providing random access to individual views is also a very significant factor. Highly efficient compression methods usually lack random access. Similarly, random access methods usually reduce the compression efficiency. To address this trade-off, a light field image encoding method is proposed in this paper which favors random access. In the proposed scheme 15x15 view images are divided into 25 independent 3x3 view images which are called Macro View Image (MVI). To encode MVIs, the central view image is used to compress its immediate neighboring view images using a hierarchical reference structure. To encode the central view of each MVI, the most central view image, along with the center of at most three MVIs, are used as the reference images for the disparity estimation. In addition, the proposed method enables the use of parallel computation to improve encoding/decoding time complexity. To reduce memory footprint in case a Region of Interest (ROI) is required, HEVC tile partitioning is used.

关键词： Image coding Data compression Rate-distortion Computer science compression algorithms Rendering (computer graphics) Decoding

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Design of context-free grammars for lossless data compression

Design of context-free grammars for lossless data compressio...

引用

IEEE Information Theory Workshop

作者： Kieffer, JC Yang, E Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

ISBN: (纸本)0780344081

Any context-free grammar G generates a language L(G). We are interested in context-free grammars G in which L(G) consists of exactly one string. Given a data string a: over a finite alphabet and a context-free grammar G such that L(G) = {x}, one call reduce G to a simpler grammar G' for which L(G') = {x} and for which certain constraints are satisfied. One then losslessly compresses x by losslessly compressing the grammar G'. The redundancy performance of this compression algorithm based upon reduced grammars is discussed.

关键词： context-free grammars compression algorithms lossless compression syntax Cosmic strings

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Electrocardiogram compression by Linear Prediction and Wavelet Sub-Band Coding Techniques

Electrocardiogram Compression by Linear Prediction and Wavel...

引用

Conference on Computing in Cardiology

作者： Ardhapurkar, Shubhada Manthalkar, Ramchandra Gajre, Suhas Int Ctr Excellence Engn & Managment Aurangabad Maharashtra India SGGS Inst Chem Technol Nanded Maharashtra India

ISBN: (纸本)9781457706110

Linear Predictive coding (LPC) is extensively used for analysis and compression of speech signal whereas the Discrete Wavelet Transform is widely preferred for electrocardiogram (ECG) compression. In this paper, we present LPC and wavelet based method to encode ECG signals. The compression algorithm has been evaluated with the MIT-BIH Arrhythmia Database, MIT-BIH compression database and University of Glasgow noisy and normal database. The performance is quantified by computing distortion measures. The percentage root mean square difference (PRD) is found to be below 8% and wavelet-based weighted PRD (WWPRD) below 0.25. The upper quartile value of Wavelet energy based diagnostic distortion (WEDD) is less than 0.3 even for noisy data. It is observed that, a combination of LPC and wavelet subband coding offers fixed compression of 84.09%. Classification before decompression is achieved with accuracy of 97%.

关键词： subband coding linear prediction compression algorithms wavelets wavelet energy discrete wavelet transform noisy data compression Voice Signal

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