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检索条件"主题词=Compression algorithms"

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Efficient random codebooks and databases for lossy compression in near-linear time

Efficient random codebooks and databases for lossy compressi...

引用

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Ioannis Kontoyiannis Christos Gioran Department of Informatics Athens University of Economics and Business Athens Greece

We examine the compression-complexity trade-off of lossy compression algorithms that are based on a random code-book or a random database. Motivated, in part, by some recent results of Gupta-Verdu-Weissman (GVW) and their underlying connections with the pattern-matching scheme of Kontoyiannis' lossy Lempel-Ziv algorithm, we introduce a non-universal version of the lossy Lempel-Ziv method (termed LLZ), we prove its optimality for memoryless sources, and we compare its performance to that of the GVW divide-and-conquer approach. Experimental results indicate that the GVW approach often yields better compression than LLZ, but at the price of much higher memory requirements. To combine the advantages of both, we introduce a hybrid algorithm (HYB) that utilizes both the divide-and-conquer idea of GVW and the single-database structure of LLZ. We show that HYB shares with GVW the exact same rate-distortion performance and implementation complexity, while, like LLZ, requiring much less memory, typically by at least one or two orders of magnitude. Experimental results are also presented, illustrating the performance of all three methods on data generated by simple discrete memoryless sources. In particular, the HYB scheme is shown to outperform existing schemes for the compression of some simple discrete sources with respect to the Hamming distortion criterion.

关键词： Databases compression algorithms Data compression Rate-distortion Transform coding Convergence Informatics Performance loss Information theory Arithmetic

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A lossless data compression method for an application in high energy physics

A lossless data compression method for an application in hig...

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Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： Christian Patauner Wolfgang Pribyl Alessandro Marchioro Department: PH Group: ESE CERN-European Organization for Nuclear Research Geneve Switzerland Institute of Electronics Graz University of Technology Graz Austria

This paper presents a data compression algorithm to be used for data coming from the digitization of signals from particle physics detectors. Modern detectors in high energy physics experiments produce a huge amount of information. Therefore, efficient data reduction methods right at the front end are required to reduce the amount of data to be transmitted and stored. The data compression algorithm proposed in this paper is based on a combination of vector quantization and Huffman coding and is a lossless compression method. This compression algorithm is designed to be implemented in a new front end ASIC for amplification and digitization of signals in TPC detectors. The performance of the described compression method is presented by using a set of measured data from the ALICE TPC recording cosmic rays at CERN. The compression method is compared with the simpler arithmetic coding and Huffman coding. The obtained results show that a compression factor of 2 can be obtained on relevant data. The compression method results in a reduction better than what predicted by the simple entropy of the used data set. An implementation proposal is given and the required memory requirements for an ASIC are estimated.

关键词： Data compression Detectors Huffman coding Application specific integrated circuits Vector quantization compression algorithms Signal design Algorithm design and analysis Signal detection Cosmic rays

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GQComp: A Query-Supported compression Technique for GML

GQComp: A Query-Supported Compression Technique for GML

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International Conference on Computer and Information Technology (CIT)

作者： Qiang Dai Shuliang Zhang Zhihui Wang Department of Geographic Science Nanjing Normal University Nanjing China

GML documents are extremely verbose since containing large amounts of description information of structure. While some compressors are available to address this problem, no one is designed to support direct querying of the compressed documents so far. In this paper, we propose a new query-supported GML compression tool, called GQComp, based on traditional GML compressors and query-supported XML compressors. GQComp not only achieves high compression ratio as the existing GML compression algorithms, but also implements the attribute query, spatial query and mutual query of the compressed files, through the combination of feature structure tree and spatial index. The experiments indicate that GQComp obtains reasonably good results both at compression ratio and query efficiency.

关键词： Compressors compression algorithms XML Spatial indexes Geometry Information technology Geography Markup languages Data communication Roads

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Stream-oriented Lossless Packet compression in Wireless Sensor Networks

Stream-oriented Lossless Packet Compression in Wireless Sens...

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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Andreas Reinhardt Matthias Hollick Ralf Steinmetz Multimedia Communications Laboratory Technische Universität Darmstadt Darmstadt Germany

In wireless sensor networks, the energy consumption of participating nodes has crucial impact on the resulting network lifetime. Data compression is a viable approach towards preserving energy by reducing packet sizes and thus minimizing the activity periods of the radio transceiver. In this paper, we propose a compression framework utilizing a stream-oriented compression scheme for sensor networks. It is specifically tailored to the capabilities of employed nodes and network traffic characteristics, which we determine in a characterization of WSN traffic patterns. To mitigate the inapplicability of traditional compression approaches, we present the squeeze KOM compression layer. By shifting data compression into a dedicated layer, only minor modifications to applications are required, while efficient data transfer between nodes is provided. As a proof-of-concept, we implement a stream-based compression algorithm on sensor nodes and perform an experimental analysis to determine the potential gains under realistic traffic conditions. Results indicate that our presented lossless stream-oriented payload compression leads to considerable savings.

关键词： Wireless sensor networks Data compression Telecommunication traffic Energy consumption Radio transceivers Sensor phenomena and characterization compression algorithms Performance analysis Algorithm design and analysis Performance gain

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A rate-controllable near-lossless data compression IP for HDTV decoder LSI in 65nm CMOS

A rate-controllable near-lossless data compression IP for HD...

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IEEE Asian Conference on Solid-State Circuits (ASSCC)

作者： Masato Uchiyama Kohei Oikawa Naoto Date Shinichiro Koto Center for Semiconductor Research & Development Toshiba Semiconductor Company Limited Kawasaki Japan Corporate Research & Development Center Toshiba Corporation Kawasaki Japan

We propose a rate-controllable near-lossless embedded compression algorithm "TLS-1". The algorithm guarantees a selected compression ratio with the smart combination of variable length coding and fixed length coding. It achieves near-lossless image quality under CR = 2. We apply the algorithm to an IP in an HDTV decoder LSI in order to reduce the required external memory capacity and its bandwidth. The LSI is fabricated in a 65 nm CMOS technology.

关键词： Data compression HDTV Decoding Large scale integration CMOS technology compression algorithms Image coding Image quality Chromium Bandwidth

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Dynamic Dictionary Design for SIP Signaling compression

Dynamic Dictionary Design for SIP Signaling Compression

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Weihai Li Yan Ma Qing Ma Xiaohong Huang Beijing University of Posts and Telecommunications Beijing Beijing CN School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Beijing University of Posts and Telecommunications Beijing China

A new SIP signaling compression solution based on structured dynamic dictionary is proposed in this paper. A SIP compression mechanism based on dynamic-dictionary is designed for improving SIP signaling compression combined with LZSS algorithm. The new mechanism reduces the time complexity of compression algorithm and makes the use of memory more effective.

关键词： Dictionaries Signal design Protocols compression algorithms Design engineering Laboratories Algorithm design and analysis Computer science Telecommunication switching Intelligent networks

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Passive event-based extrapolation for lossy haptic data compression in bilateral presence systems

Passive event-based extrapolation for lossy haptic data comp...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Philipp Kremer Martin Kuschel Carsten Preusche Martin Buss Gerd Hirzinger Institute of Robotics and Mechatronics German Aerospace Center Wessling Germany Institute of Automatic Control Engineering Technische Universität München Germany

A new lossy compression method is proposed for haptic (force, velocity) data as exchanged in bilateral telepresence systems. The method is based on the passive extrapolative compression strategy proposed in the work of Kuschel et al. (2006). The innovation is that the extrapolations do not have a stiff horizon, but are triggered by considerable changes (events) in the target environment. This enables longer average extrapolation horizons and thus, higher compression. Experiments are conducted using two DLR light weight robots. The results indicate that the method outperforms older implementations.

关键词： Extrapolation Haptic interfaces Data compression Humans Communication system control Control systems Robotics and automation compression algorithms Virtual reality Avatars

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compression of neural signals using discriminative coding for wireless applications

Compression of neural signals using discriminative coding fo...

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International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Stefan Craciun David Cheney Karl Gugel Justin C. Sanchez Jose C. Principe Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Pediatrics Division of Neurology University of Florida Gainesville FL USA

One of the most critical tasks when designing a portable wireless neural recording system is to limit power consumption. This paper proposes a new compression technique applied to neuronal recordings in real-time. The signal is compressed before transmission using a discriminative vector quantization algorithm and then it is reconstructed on the receiver side. Results show that power consumption is decreased while more efficiently using the limited bandwidth. A discriminative Linde-Buzo-Gray algorithm (DLBG) preserves action potential regions of the neuronal signal where information is contained while efficiently filtering background activity. The compression algorithm has been tested in real time on a hardware platform (PICO DSP [3]) that has a Digital Signal Processor (DSP) which performs the algorithm before sending the compressed data to a wireless transmitter. The compression ratios obtained range between 20:1 and 70:1 depending on the embedding size of the signal and the number of code-vectors used.

关键词： Signal processing algorithms Energy consumption Digital signal processing Vector quantization Bandwidth Filtering algorithms Information filtering Information filters compression algorithms Testing

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Optimal Transform of Multichannel Evoked Neural Signals Using a Video compression Algorithm

Optimal Transform of Multichannel Evoked Neural Signals Usin...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Chen Han Chung Liang-Gee Chen Yu-Chieh Kao Fu-Shan Jaw DSP/IC Design Laboratory Graduate Institute of Electronics engineering National Taiwan University Taipei Taiwan Laboratory of Electrophysiology Institute of Biomedical Engineering National Taiwan University Taipei Taiwan

One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.

关键词： Video compression Signal processing algorithms Signal processing Biomedical signal processing Video recording Biomedical engineering Video signal processing Neurons Algorithm design and analysis compression algorithms

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Method for Fast compression of Program Codes for OTA Updation in Consumer Devices

Method for Fast Compression of Program Codes for OTA Updatio...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ryozo Kiyohara Satoshi Mii Mitsuhiro Matsumoto Masayuki Numao Satoshi Kurihara The Information technology R & D Center Mitsubishi Electric Corporation Limited Japan Graduate School of Information Science and Technology Osaka University Japan Institute of Scientific and Industrial Research Osaka University Japan

This paper presents an over-the-air method for updating the software of consumer devices such as mobile phones and car navigation systems. Software update is carried out using binary difference technology, software construction technology, and fast compression technology. In this paper, we focus on a fast BPE (byte pair encoding) method of program codes on devices and obtain good results using it.

关键词： Encoding Mobile handsets Flash memory compression algorithms Decoding Navigation Random access memory Operating systems Costs Dictionaries

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