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检索条件"主题词=Compression algorithms"

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Packet compression for Time-Synchronized Wireless Networks

Packet Compression for Time-Synchronized Wireless Networks

引用

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

作者： Travis L. Massey Ankur Mehta Thomas Watteyne Kristofer S. J. Pister BSAC University of California Berkeley USA

Reducing the number of transmitted bytes in a wireless sensor network reduces the time the radio is on, resulting in a significant increase in battery lifetime. Toward this end we have developed a compression technique that is independent of the protocols used in the network, acts as a transparent layer, and consumes minimal computing resources. Patterns in recent packets are identified and replaced in the transmitted packet by bit flags. This algorithm was tested on packet traces collected from commercial wireless sensor networks for 40-80% compression, yielding comparable energy savings in a time-synchronized network.

关键词： Wireless networks Wireless sensor networks Dictionaries Batteries Media Access Protocol Pattern recognition compression algorithms Communications Society USA Councils Computer networks

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On Board EMG Signal compression for Portable Devices - A Study

On Board EMG Signal Compression for Portable Devices - A Stu...

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International Conference on Machine Intelligence and Research Advancement (ICMIRA)

作者： Sushant Sharma Mandeep Singh ACSD Centre for Development of Advanced Computing Mohali India Division Centre for Development of Advanced Computing Engineer Digital Electronics and Communication Mohali India

Electromyography signals are used for biomedical applications and clinical diagnosis. This paper presents a system to acquire high quality EMG (electromyography) signal and compress it for high data transfer rate. For acquiring EMG signals we are using off-the-shelf integrated circuit AFE which generates 24 bit data stream output. After acquiring the signal from front end amplifier, the signal is processed (filtration, compression). This is achieved by making use of MSP430 MCU (micro controller). We are using AFE and MSP430 because it is less power consuming, reliable, and both are compatible with each other. The detail of the hardware and software is explained in the further section of the paper. This paper also describes the compression algorithm. compression is done so that whenever the data is send wirelessly using Bluetooth, Zigbee etc, it requires less bandwidth.

关键词： Electromyography Electrodes Noise Muscles Conferences compression algorithms Quantization (signal)

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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...

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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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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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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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SCAN based lossless image compression and encryption

SCAN based lossless image compression and encryption

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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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