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检索条件"主题词=Compression algorithms"

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IP header translation protocol design and implementation to a post wireless network service

IP header translation protocol design and implementation to ...

引用

International Conference on Advanced Communication Technology (ICACT)

作者： Jong Tak Park Dae In Choi Su Yeon Kim Hyun K Kahng Department of Electronic & Information Engineering Korea University Seoul South Korea MOBILAB(Mobile Lab) Daegu South Korea

The use of wireless internet increased rapidly due to the wireless network technology development such as Wibro, LTE and the extension supply of wireless terminals. A special quality of wireless network that is used by many people in an Access-Point increased overhead and lowered the service quality. When we look at All-IP network realization based on a single protocol and transition of address system to IPv6, the problem becomes more serious. To address these issues, many header compression algorithms have been proposed over decades. However, the past Header compression algorithms are not suitable for the current wireless environment. The proposed ROHC has problems that an increased demand for computing power by increasing complexity of the compression algorithms. In this paper, our proposal is that we can reduce overhead and increase efficiency of network by contracting IP header through IP header translation in a gateway. In order to test this proposal, we implemented a Testbed in which we conducted the experiment in the 802.11b wireless with 11Mbps. Then we compared the results to efficiency along with IP payload size. The results shows that we can reduce the transmission delay time by 67.9% and improve network efficiency by 42.54%. In the event that this suggestion applies to IPv6, we can expect more positive effect.

关键词： IP networks Protocols Payloads Wireless networks Logic gates compression algorithms

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Lossless compression algorithms for Post-OPC IC Layout

Lossless Compression Algorithms for Post-OPC IC Layout

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IEEE International Conference on Image Processing

作者： Allan Gu Avideh Zakhor Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

An important step in today's integrated circuit (IC) manufacturing is optical proximity correction (OPC). While OPC increases the fidelity of pattern transfer to the wafer, it also results in significant increase in IC layout file size. In this paper, we develop two techniques for compressing post-OPC layout data while remaining compliant with existing industry standard data formats such as OASIS and GDSII. The motivation for doing so is for the resulting compressed files to be viewed and edited by any industry standard CAD tools without a decoder. Our approach is to eliminate redundancies in the representation of the geometric data by finding repeating groups of polygons between multiple cells as well as within a cell. We refer to the former as "inter-cell sub-cell detection" and the later as "intra-cell sub-cell detection". Both problems are NP hard, and as such, we propose two sets of greedy algorithms to solve them. We show the results of our proposed inter-cell and intra-cell algorithms on actual 90nm, 130nm, and 180nm IC layouts.

关键词： compression algorithms Integrated circuit layout Photonic integrated circuits Optical losses Integrated circuit manufacture Integrated optics Manufacturing industries Standards development Decoding Greedy algorithms

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Universal Data compression with Side Information at the Decoder by Using Traditional Universal Lossless compression algorithms

Universal Data Compression with Side Information at the Deco...

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IEEE International Symposium on Information Theory

作者： En-hui Yang Da-ke He Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada Thomas J. Watson Research Center IBM Yorktown Heights NY USA

ISBN: (纸本)9781424413973

In this paper we investigate universal data compression with side information at the decoder by leveraging traditional universal data compression algorithms. Specifically, consider a source network with feedback in which a finite alphabet source X = {X i } i=0 infin is to be encoded and transmitted, and another finite alphabet source Y = {Y i } i=0 infin available only to the decoder as the side information correlated with X. Assuming that the encoder and decoder share a uniform i.i.d. (independent and identically distributed) random database that is independent of (X, Y), we propose a string matching-based (variable-rate) block coding algorithm with a simple progressive encoder for the feedback source network. Instead of using standard joint typicality decoding, this algorithm derives its decoding rule from the codeword length function of a traditional universal lossless coding algorithm. As a result, neither the encoder nor the decoder assumes any prior knowledge of the joint distribution of (X, Y) or even the achievable rates. It is proven that for any (X, Y) in the class of all stationary, ergodic source-side information pairs with finite alphabet, the average number of bits per letter transmitted from the encoder to the decoder (compression rate) goes arbitrarily close to the conditional entropy rate H(X|Y) of X given Y asymptotically, and the average number of bits per letter transmitted from the decoder to the encoder (feedback rate) goes to 0 asymptotically.

关键词： Data compression Decoding compression algorithms Feedback Entropy Helium Block codes Communication systems Error probability Distributed databases

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Real-time compression algorithm of railway bridge monitoring signal based on morphology

Real-time compression algorithm of railway bridge monitoring...

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International Conference on Electric Information and Control Engineering (ICEICE)

作者： Weigang Zhao Meng Zhao Laboratory of Structural Health Monitoring and Control Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (纸本)9781424480364

A new real-time compression algorithm of bridge monitoring signal is introduced to decrease the data redundancy which result from oversampling of the signal. Based on morphology, two kinds of characteristic points have been chosen and applied in signal resampling with inhomogeneous sampling interval to achieve the compression goal. The Hermite interpolation formula is used to recover the signal waveform in decoding. Through the evaluate indicators which are obtained by calculating, a higher compression ratio and a much higher similitude of original signal and reinstate signal have been achieved by using the introduced algorithm in this paper.

关键词： Monitoring Morphology compression algorithms Bridges Laboratories Real time systems Interpolation

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Chinese text compression algorithm based on LZW

Chinese text compression algorithm based on LZW

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International Conference on Computer Application and System Modeling

作者： Chen, Wei Xu, Dewu Fu, Minfeng Math Physics and Information Engineering College Zhejiang Normal University Jinhua China

ISBN: (纸本)9781424472369

This paper introduced an improved LZW algorithm of data compression. In view of Chinese text characteristic, in this paper, the expansion to the dictionary was carried on, and the first level database of Chinese was added, with some second level of Chinese characters space reserved to improve the dictionary memory method as well as the renewal way which was improved by experiments to the improvements of compression ratio. © 2010 IEEE.

关键词： Chinese text compression algorithm LZW compression algorithms LZW Text compression Chinese Chinese Chinese philosophy Chinese art Dictionaries as Topic compression ratio

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Using Finite Moment Rate of Innovation for LIDAR Waveform Complexity Estimation

Using Finite Moment Rate of Innovation for LIDAR Waveform Co...

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44th Asilomar Conference on Signals, Systems and Computers

作者： Castorena, J. Creusere, C. D. Voelz, D. Klipsch Sch Elect & Comp Engn Las Cruces NM 88003 USA

ISBN: (纸本)9781424497218

LIDAR sensing collects data to obtain detailed topographical information about a region. A major challenge here is the large amount of data that needs to be collected for accurate surface reconstruction which in turn imposes significant storage, processing and transmission requirements. Current efforts to solve this problem have been focusing on applying compression algorithms to the range measurements. This process, however, requires the collection of large amounts of data, most of which is ultimately discarded. Instead, our approach is to apply a compressive sensing paradigm to sparsely sample the scene using the estimated pulse complexity to characterize the scene complexity, thus determining the number of samples needed for accurate reconstruction. As a first step towards this goal, we characterize here the individual laser return pulses for scenes of varying complexity, assuming that the pulses are composed by a finite number of innovations. Each scene is thus sampled at a rate that is much lower than the traditional Nyquist/Shannon limit. Our results show that accurate classifications of waveform and scene complexity with the simple nearest neighbor classifier are obtained using the proposed algorithm.

关键词： Technological Innovations waveforms Surface reconstruction Lidar Pulses compression algorithms Ranging measurements Legumes Complexity ON-SCENE large volume data Nearest neighbor Finite Data Collection Methods

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FPGA-based Lossless Compressors of Floating-Point Data Streams to Enhance Memory Bandwidth

FPGA-based Lossless Compressors of Floating-Point Data Strea...

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21st IEEE International Conference on Application-Specific Systems, Architectures and Processors

作者： Katahira, Kazuya Sano, Kentaro Yamamoto, Satoru Tohoku Univ Grad Sch Informat Sci Sendai Miyagi 9808579 Japan

ISBN: (纸本)9781424469673

This paper presents an FPGA-based lossless compressor which directly compresses floating-point data streams to enhance the actual memory bandwidth of lattice Boltzmann method (LBM) accelerators. We show that the compression algorithms based on the 1D polynomial prediction are suitable for high-throughput hardware design. Moreover we show that integer operations provide comparable prediction performance to a floating-point predictor, while an integer predictor is expected to have smaller circuits than a floating-point one. We evaluate the compression ratio, the operating frequency and the resource consumption of the compressors with integer-based predictors through their prototype implementation using ALTERA Stratix III FPGA. We demonstrate that the implemented compressors dominate only 0.15 to 0.23 % of the entire logic resources and operate at 95 to 174 MHz to provide the compression ratio of up to 3.5, which means that we can enhance the memory bandwidth by a factor of 3.5 on average.

关键词： memory bandwidth Compressors FLOATING POINTS compression ratio compression algorithms Resource utilization Lossless

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An approach to efficient compression transmission schema of GML

An approach to efficient compression transmission schema of ...

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IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT

作者： Ye Shen Jing Feng Hao-Tian Zhu Institute of Meteorology PLA University of Science and Technology Nanjing 211101 China Institute of Meteorology PLA University of Science and Technology Nanjing China

GML, a geographic information coding standard, has been widely used in WebGIS, heterogeneous GIS data sharing, integration, and interoperation. However, its features of large amount of redundancy inherited from XML file structure and geographic information system make a serious obstacle in WebGIS applications. According to the characteristics of GML, a data stream-based compression algorithm GDSC ( GML data stream compression ) was given, which separated the GML into structure data and value data using “Draw Pattern”, replaced the structure data with dictionary table during the separation process, and compressed the structure data and value data respectively to increase compression rate. In order to reduce compression time, GDSC uses two sub-threads for compression, decompression and network transmission.

关键词： Dictionaries Algorithm design and analysis compression algorithms Encoding XML Indexes Arrays

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A Normal Distribution Encoding Algorithm for Slowly-Varying Data compression in Wireless Sensor Networks

A Normal Distribution Encoding Algorithm for Slowly-Varying ...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Xuejun Ren Dingyi Fang School of Information Science and Technology Engineering College of Chinese Armed Police Force Northwest University Xi'an China School of Information Science and Technology Northwest University Xi'an China

Efficient utilization of energy is a core area of research in wireless sensor networks. Data compression methods to reduce the number of bits to be transmitted by the communication module will significantly reduce the energy requirement and increase the lifetime of the sensor node. This paper divides WSN applications into two categories, slowly-varying applications and non-slowly-varying applications, and indicates that the study of slowly-varying data compression algorithm is significance. Through analysis the probability distribution of monitored data, a simple lossless data compression algorithm namely Normal Distribution Encoding Algorithm specifically designed for slowly-varying data is proposed in this paper. Compared with the typical lossless compression algorithm, the proposed algorithm indicated better compression ratio and performance.

关键词： Wireless sensor networks Temperature sensors Gaussian distribution Algorithm design and analysis Temperature measurement compression algorithms Monitoring

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A Lossy compression Scheme for Pre-Beamformer and Post-Beamformer Ultrasound Data

A Lossy Compression Scheme for Pre-Beamformer and Post-Beamf...

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2010 IEEE International Ultrasonics Symposium

作者： Mohamed Mansour Murtaza Ali Systems and Applications R&D Center Texas Instruments Inc. Dallas TX USA

ISBN: (纸本)9781457703829

We present a framework for lossy compression of ultrasound RF data. The proposed scheme can be deployed either before or after the receiver beamformer. It performs a two-dimensional decorrelation in both the lateral and axial directions. The decorrelation in the lateral direction is done using a Karhun-loeve like transform, e.g., DCT or Hadamard. The decorrelation in the axial direction is done using customized orthogonal wavelet packets that are optimized for a particular ultrasound probe. The effectiveness of the compression algorithm for both pre-beamformer and post-beamformer compression is established by evaluating the performance on a set of simulated ultrasound signals.

关键词： Ultrasound digital signal processing lossy compression transducer lossy compression compression algorithms AXIAL decorrelation Ultrasonic Waves discrete cosine transforms DCT gene Lateral Wavelet packets Frameworks

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