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检索条件"主题词=Compression algorithms"

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compression of facsimile graphics for transmission over digital mobile satellite circuits

Compression of facsimile graphics for transmission over digi...

引用

MILCOM, Military Communications Conference

作者： S. Dimolitsas F.L. Corcoran COMSAT Laboratories Communication Satellite Corporation Clarksburg MD USA Communication Satellite Corporation Clarksburg MD USA

A technique for reducing the transmission requirements of facsimile images while maintaining high intelligibility in mobile communications environments is described. The algorithms developed are capable of achieving a compression of approximately 32 to 1. The technique focuses on the implementation of a low-cost interface unit suitable for facsimile communication between low-power mobile stations and fixed stations for both point-to-point and point-to-multipoint transmissions. This interface may be colocated with the transmitting facsimile terminals. The technique was implemented and tested by intercepting facsimile documents in a store-and-forward mode.< >

关键词： Facsimile Graphics Image coding Artificial satellites Mobile communication Algorithm design and analysis compression algorithms Laboratories Circuit testing Satellite communication

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DH-LZW: lossless data hiding in LZW compression

DH-LZW: lossless data hiding in LZW compression

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IEEE International Conference on Image Processing

作者： Hiuk Jae Shim Jinhaeng Ahn Byeungwoo Jeon School of Information and Computer Engineering Sungkyunkwan University Suwon South Korea

ISBN: (纸本)0780385543

LZW is one of the well-known lossless compression methods. Since it has several remarkable features such that coding is simple, prior analysis on source is unnecessary, and the whole code table is not sent to its decoder, LZW is widely used in many applications. GIF, TIFF and PDF (compressing images) are good examples of them. In spite of its reputation on compression, however, few data hiding methods are directly applied to LZW itself. This may be due to few redundancies remained in losslessly compressed data: therefore there is not enough available room for data hiding. The existing methods are lossy, however, lossless approach is preferred to the lossy one. In this paper, we propose the DH-LZW method that embeds data to source data in a lossless manner. Through this paper, modifiable elements of LZW for data hiding are introduced and a way to handle them is proposed. Experiments show very promising results.

关键词： Data encapsulation Image coding Decoding Dictionaries Color Data communication Steganography Watermarking Probability density function compression algorithms

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An efficient 5/3-DWT based embedded compression algorithm for H.264 high definition decoder

An efficient 5/3-DWT based embedded compression algorithm fo...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Hongli Fei Huazhong Tsinghua University Beijing Beijing CN

To reduce the external memory cost, an efficient 5/3-DWT based embedded compression algorithm is proposed for H.264 decoder. Decoded frames are decomposed into 4×4 blocks which are then compressed into 32-bit or ... 详细信息

关键词： compression algorithms Decoding Fingerprint recognition Noise robustness Working environment noise Audio databases Frequency conversion Frequency domain analysis Acoustic noise Content based retrieval

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Lossless compression of Internal Files in Parallel Reservoir Simulation

Lossless Compression of Internal Files in Parallel Reservoir...

引用

IEEE Conference on High Performance Extreme Computing (HPEC)

作者： Marcin Rogowski Suha N. Kayum Florian Mannuss Saudi Aramco Dhahran Saudi Arabia

In parallel reservoir simulation, massively sized files are written recurrently throughout a simulation run. A method is developed to compress the distributed data to be written during the simulation run and to output it to a single compressed file. Evaluation of several compression algorithms on a range of simulation models is performed. The presented method results in 3x file size reduction and a decrease in the total application runtime.

关键词： Reservoirs Computational modeling Runtime Writing Arrays compression algorithms History

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Steady-state and dynamic myoelectric signal compression using embedded zero-tree wavelets

Steady-state and dynamic myoelectric signal compression usin...

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

作者： J.A. Norris K. Englehart D. Lovely Institute of Biomedical Engineering University of New Brunswick Fredericton Canada

Within the field on biomedical engineering, the majority of compression research has focused on encoding medical images, electrocardiograms, and electroencephalograms. Although long-term myoelectric signal (MES) acquisition is important for neuromuscular system analysis and telemedicine applications, very few studies have been published on MES compression. This research investigates static and dynamic MES compression using the embedded zerotree wavelet (EZW) compression algorithm and compares its performance to a standard wavelet compression technique.

关键词： Steady-state Image coding Pulse modulation Time frequency analysis Signal resolution Biomedical engineering compression algorithms Data compression Biomedical imaging Telemedicine

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

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

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

作者： G. Caire S. Shamai A. Shokrollahi S. Verdu Institut Eurecom Technion EPFL Princeton University USA

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： Data compression Iterative algorithms Parity check codes Doping Code standards Decoding compression algorithms Belief propagation Encoding Performance loss

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Lossless compression of electromyographic signal

Lossless compression of electromyographic signal

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Biomedical Engineering International Conference (BMEiCON)

作者： Phinitnan Chanasabaeng Boonying Charoen Jarin Paphangkorakit Department of Electrical Engineering Faculty of Engineering Khon Kaen University Khon Kaen Thailand Department of Oral Biology Faculty of Dentistry Khon Kaen University Khon Kaen Thailand

ISBN: (纸本)9781467348904

For long-term electromyographic (EMG) signal acquisition, data compression can be used to reduce the original data to a smaller size. This reduction decreases the bandwidth and energy used during transmission. Storing the compressed data on storage media also uses less space. This study aims to determine suitable lossless compression algorithms for EMG signal on small embedded devices. These devices have much less processing power than laboratory-sized devices thus a proper tool has to be carefully chosen. Various algorithms are studied with a set of simulated and real EMG signals. The performances of the algorithms are measured and compared. The memory requirement of the algorithms are also recorded for future reference. The result shows that the LPC based algorithms performs very well with EMG signal. The average compression ratio of these tools are 2.44. While BWT and LZMA algorithms are comparable to LPC in term of CR, these tools are very complex and have a much higher resource requirement. In this study, FLAC outperforms other compression tools with average CR of 2.61. This tool is fast and consumes slightly more resource than a much simpler scheme like SHN. For the standard LPC modeling, choosing an order of the model greater than 4 produces insignificant benefit. The simpler SHN scheme performs 4.2% better than the best LPC.

关键词： Electromyography Data compression Internet Conferences Educational institutions Prediction algorithms compression algorithms

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A 2-D ECG compression algorithm based on modified SPIHT

A 2-D ECG compression algorithm based on modified SPIHT

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IEEE/EMBS International Summer School on Medical Devices and Biosensors

作者： Zhelong Wang Pengfu Zhu Ying Chen School of Electronic and InformationEngineering Dalian University of Technology Dalian Liaoning China

A new two-dimensional (2-D) Electrocardiogram (ECG) signal compression algorithm named 2D Modified Set Partitioning In Hierarchical Trees (2-D MSPIHT), which is based on the SPIHT algorithm, has been proposed in this paper. According to the two correlativity of ECG signal, an ECG signal is cut and aligned to form a 2-D data array, and then 2-D MSPIHT can be applied. Simulation experiments by using the 2-D MSPIHT algorithm and SPIHT compression algorithms have been conducted to verify the validity of the 2-D MSPIHT algorithm and test its performance. The experimental results show that the proposed 2-D MSPIHT algorithm is valid and greater compression ratio can be achieved when the quality of the reconstructed signal is good.

关键词： Electrocardiography compression algorithms Wavelet transforms Two dimensional displays Parameter extraction Testing Frequency Data compression Neural networks Wavelet domain

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On-board compression algorithm for satellite multispectral images

On-board compression algorithm for satellite multispectral i...

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Data compression Conference (DCC)

作者： C. Thiebaut D. Lebedeff C. Latry Y. Bobichon CNES France Alcatel Alenia Space France

Summary form only given. This paper proposes a low complexity and flexible fixed data rate compression algorithm for multispectral imagery specifically targeted for high-rate instruments used onboard of spacecraft. To reduce the development costs, this algorithm re-use, as far as possible, already existing compressors, such as CNES algorithms already used in previous missions or standard algorithms suited for space missions. The proposed algorithm is then composed of a decorrelation stage performed on spectral channels and can be used in front of existing monospectral compressors. The decorrelation stage is based either on a fixed transform evaluated previously on a set of images or on the Karhunen-Loeve transform locally adapted to the studied block of image, implemented in a scan-based mode

关键词： compression algorithms Satellites Multispectral imaging Compressors Decorrelation Karhunen-Loeve transforms Instruments Space vehicles Costs Standards development

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SCAN based lossless image compression and encryption

SCAN based lossless image compression and encryption

引用

International Conference on Information Intelligence and Systems

作者： S.S. Maniccam N.G. Bourbakis Department EE Image-Video-Machine Vision Laboratory Binghamton University Binghamton NY USA Department ECE Technical University of Crete Crete Greece

This paper presents a new methodology which performs both lossless compression and encryption of binary and gray scale images. The compression and encryption schemes are based on SCAN patterns generated by the SCAN methodology. The SCAN is a formal language based two dimensional spatial accessing methodology which can efficiently specify and generate a wide range of scanning paths or space filling curves. This paper presents compression specific SCAN language, compression and decompression algorithms, encryption and decryption algorithms, and test results of the methodology.

关键词： Image coding Cryptography Formal languages Filling compression algorithms Testing Transform coding Context modeling Production

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