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检索条件"主题词=Compression algorithms"

共 2079 条记录，以下是1891-1900 订阅

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Algorithm evaluation for the synchronous data compression standards

Algorithm evaluation for the synchronous data compression st...

引用

Data compression Conference (DCC)

作者： M.W. Maier ECE Department University of Alabama Huntsville Huntsville AL USA

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Code density optimization for embedded DSP processors using data compression techniques

Code density optimization for embedded DSP processors using ...

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Conference on Advanced Research in VLSI

作者： S.Y. Liao S. Devadas K. Keutzer Department of Eletrical Engineering and Computer Science and Engineering MIT Cambridge MA USA Synopsys Inc. Mountain View CA USA

We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data compression methods to develop code size minimization strategies. We present a framework for code size minimization where the compressed data consists of a dictionary and a skeleton. The dictionary can be computed using popular text compression algorithms. We describe two methods to execute the compressed code that have varying performance characteristics and varying degrees of freedom in compressing the code. Experimental results obtained with a TMS320C25 code generator are presented.

关键词： Digital signal processing Dictionaries Very large scale integration Production systems Costs Embedded system Data compression Minimization methods Skeleton compression algorithms

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Techniques for FPGA Implementation of Video compression Systems

Techniques for FPGA Implementation of Video Compression Syst...

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Proceedings of the ACM International Symposium on Field-Programmable Gate Arrays, FPGA

作者： B. Schoner J. Villasenor S. Molloy Rajeev Jain Department of Electrical Engineering University of California Los Angeles CA USA

Real-time video compression is a challenging subject for FPGA implementation because it typically has a large computational complexity and requires high data throughput. Previous implementations have used parallel banks of FPGAs or DSPs to meet these requirements. Using design techniques that maximize FPGA utilization, we have implemented two video compression systems, each of which uses a single FPGA. In the first system, algorithmic optimizations are made to create a low-complexity implementation that exploits the in-system programmability of the FPGA. This low-complexity implementation performs well, but is limited to a single compression algorithm. In the second system, the FPGA is augmented with an external, low-complexity, video signal processor (VSP.) This combination of ASIC and FPGA is flexible enough to implement four common compression algorithms, and powerful enough to execute them in real time.

关键词： Field programmable gate arrays Video compression compression algorithms Computational complexity Throughput Digital signal processing Signal processing algorithms Signal processing Application specific integrated circuits Real time systems

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A high performance block compression algorithm for small systems-software and hardware implementations

A high performance block compression algorithm for small sys...

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Data compression Conference (DCC)

作者： A. de la Cruz Nogueiras M. Gamez Lau A. Cerdeira Altuzarra M. Estrada del Cueto P. Goga International Center for Informatics and Electronics Intereum Moscow Russia

Summary form only given. A new algorithmic approach to block data compression, using a highly contextual codification of the dictionary, that gives substantial compression-rate advantages over existing technologies, is described. The algorithm takes into account the limitations and characteristics of small systems, such as a low consumption of memory, high speed and short latency, as required by communication applications. It uses a novel construction of the prefix-free dictionary, a simple but powerful heuristic for filtering out the non-compressed symbols and a predictive dynamic prefix coding for the output entities. It also employs universal codification of the integers, allowing a very fast and direct implementation in silicon. A dynamic compression software package is detailed. Also, several techniques developed to maximize the usable disk-space and the software speed, among others, are discussed.

关键词： compression algorithms Software performance Software systems Hardware Data compression Dictionaries Coprocessors Games Informatics Operating systems

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Adaptive compression of animated sequences

Adaptive compression of animated sequences

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Communications, Power and Computing Conference: WESCANEX

作者： D.K. McNeill H.C. Card Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

Unsupervised artificial neural learning algorithms have clearly demonstrated their practical value for vector quantization of speech and stationary images. We examine competitive learning as an adaptive compression algorithm for highly repetitious video signals such as those found in animated cartoons. The characteristics of animated video are presented and their suitability for compression are examined. An artificial neural network system based on the soft competitive learning algorithm is presented for the adaptive compression of these video signals. Based on comparisons with existing compression techniques, this investigation indicates that a compression ratio of better than 100:1 is a reasonable expectation.

关键词： Animation Image coding Video compression Speech Data compression Prototypes Vector quantization compression algorithms Communication channels Artificial neural networks

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A study on the efficient compression algorithm of the voice/data integrated multiplexer

A study on the efficient compression algorithm of the voice/...

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IEEE International Conference on Communications (ICC)

作者： Gyoun-Yon Cho Dong-Ho Cho Department of Computer Engineering Kyung Hee University South Korea

ISBN: (纸本)0780324862

A compression technique is required to increase the efficiency of the communication channel. The LZW (Lempel Ziv Welch) algorithm is used as a compression algorithm in communication channel. The LZW algorithm, however, has some redundancies in Hangeul text and voice. The VDI-LZW (voice data integrated LZW) algorithm that decreases the redundancies of the LZW algorithm is suggested as an efficient compression method of Hangeul text and voice. The VDI-LZW algorithm uses both the codeword of the complete Hangeul and a variable length codeword methodology in data compression. For voice compression, it uses the differential method that reduces the codeword size as well as the length of repeated string. This increases the repetition ratio. According to the simulation results, it can be seen that the performance of the proposed compression algorithm is better by 4% to 18% in the data compression ratio and by 35% to 44% in the voice compression ratio than that of the conventional modified LZW algorithms.

关键词： compression algorithms Multiplexing Data compression Communication channels Streaming media Probability Phase change materials Computer simulation Telecommunication services Telecommunication traffic

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Algorithm evaluation for synchronous data compression

Algorithm evaluation for synchronous data compression

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Data compression Conference (DCC)

作者： M.W. Maier ECE Department University of Alabama Huntsville Huntsville AL USA

Summary form only given. As part of an industry standardization effort, we have evaluated compression algorithms for throughput enhancement in a synchronous communication environment. Synchronous data compression systems are link layer compressors used between digital transmission devices in internetworks to increase effective throughput. compression is capable of speeding such links, but achievable performance is effected by interaction of algorithm, the networking protocols, and implementation details. The compression environment is different from traditional file compression in inducing a trade-off between compression ratio, compression time, and the performance metric (network throughput). In addition, other parameters and behavior are introduced, including robustness to data retransmission and multiple interleaved streams. Specifically, we have evaluated the following issues through both synchronous queuing and direct network simulation: (1) relative algorithm capability; (2) throughput improvement for various algorithms as a function of compression processor capability; (3) the impact of multiple compression context; (4) protocol interactions; and (5) specialized algorithms.

关键词： Data compression Throughput Protocols Communication industry Standardization compression algorithms Compressors Internet Measurement Robustness

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Real time implementation concerns for lossless waveform compression

Real time implementation concerns for lossless waveform comp...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： F. Livinston N. Magotra S. Stearns W. McCoy Dept. of Electr. Eng. & Comput. Eng. New Mexico Univ. Albuquerque NM USA Department of EECE University of New Mexico Albuquerque NM USA

Lossless waveform data compression is useful in application areas where the fidelity of the signal being compressed is critical, This paper presents a two stage lossless seismic waveform data compression algorithm and a discussion of various issues related to the algorithm's real time implementation. The first stage of the algorithm performs lossless adaptive prediction using a recursive least squares lattice (RLSL) while the second stage performs arithmetic coding. The RLSL uses an a priori algorithm and floating-point operations. The second stage of the algorithm uses an arithmetic coding algorithm that is capable of encoding 14 bit residue sequences. The algorithm was implemented in real time on a Texas Instruments TMS320C30 chip.

关键词： Image coding Lattices compression algorithms Data compression Least squares methods Arithmetic Convergence Laboratories Instruments Audio compression

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The effect of non-greedy parsing in Ziv-Lempel compression methods

The effect of non-greedy parsing in Ziv-Lempel compression m...

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Data compression Conference (DCC)

作者： R.N. Horspool Department of Computer Science University of Victoria Victoria BC Canada

Most practical compression methods in the LZ77 and LZ78 families parse their input using a greedy heuristic. However the popular gzip compression program demonstrates that modest but significant gains in compression performance are possible if non-greedy parsing is used. Practical implementations for using non-greedy parsing in LZ77 and LZ78 compression are explored and some experimental measurements are presented.

关键词： Dictionaries Encoding Computer science Performance gain Data compression Modems compression algorithms

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Quadtree based JBIG compression

Quadtree based JBIG compression

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Data compression Conference (DCC)

作者： B. Fowler R. Arps A. El Gamal D. Yang ISL Stanford University Stanford CA USA IBM Almaden Research Center San Jose CA USA

A JBIG compliant, quadtree based, lossless image compression algorithm is described. In terms of the number of arithmetic coding operations required to code an image, this algorithm is significantly faster than previous JBIG algorithm variations. Based on this criterion, our algorithm achieves an average speed increase of more than 9 times with only a 5% decrease in compression when tested on the eight CCITT bi-level test images and compared against the basic non-progressive JBIG algorithm. The fastest JBIG variation that we know of, using "PRES" resolution reduction and progressive buildup, achieved an average speed increase of less than 6 times with a 7% decrease in compression, under the same conditions.

关键词： Image coding Arithmetic Testing Image resolution Image sensors Power system reliability compression algorithms Circuits Data structures Facsimile

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