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检索条件"主题词=Compression algorithms"

共 2071 条记录，以下是21-30 订阅

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Quantification of real-time ECG data compression algorithms

Quantification of real-time ECG data compression algorithms

引用

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

作者： I. Banville S. Armstrong Department of Biomedical Engineering University of Alabama Birmingham Birmingham AL USA Guidant Intermedics Angleton TX USA

We simulated five real-time data compression algorithms on cardiac electrograms to determine which would maximize the efficiency of memory usage in medical devices: Zero Order Prediction tolerance comparison (ZOP), First Order Prediction tolerance comparison (FOP), Differential Pulse Code Modulation (DPCM), the Fan, and Second Differences (SD). The Fan and FOP methods ranked first and second for the quality of the compressed waveform. The predicted storage rates for waveforms sampled at 200 Hz with the Fan and FOP were 75 and 95 bytes/s, respectively with compression ratios of 6:1 and 5:1, respectively.

关键词： Electrocardiography Data compression compression algorithms Sampling methods Pulse modulation Predictive models Pulse compression methods Modulation coding Pulse measurements Redundancy

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Digital compression algorithms for HDTV transmission

Digital compression algorithms for HDTV transmission

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K.C. Adkins M.J. Shalkhauser S.B. Bibyk Depertment of Electrical Engineering Ohio State Uinversity Columbus OH USA Department of Electrical Engineering Ohio State Uinversity Columbus OH USA Digital Systems Technology Branch NASA Lewis Research Center Cleveland OH USA

Digital compression of video images is a possible avenue for HDTV transmission. compression needs to be optimized while picture quality remains high. Two techniques for compressing digitized images, vector quantization and enhanced differential pulse code modulation, are explained, and comparisons are drawn between the human vision system and artificial compression techniques. Suggestions for improving compression algorithms through the use of neural and analog circuitry are given.< >

关键词： compression algorithms HDTV Image coding Pulse modulation Video compression Vector quantization Pulse compression methods Digital modulation Modulation coding Humans

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The Research on the compression algorithms for Vector Data

The Research on the Compression Algorithms for Vector Data

引用

International Conference on Multimedia Technology

作者： Huifeng Ji Yihe Wang

Vector data compression system carries important significance in studies such as geography environment simulation, map database establishment and GIS. But there are lots of redundant points in the digital topographic map. In order to reduce storage space and improve the speed, vector data must be compressed. The compression algorithms of the line element are researched in the paper. The line element is tracked by the digital software. The four algorithms are researched such as choosing interval points, limiting vertical distance, limiting angle, Douglas-Peucker. It is better that the number of nodes and the error are less in line elements by the compression algorithms. The result is that the Douglas - Peucker method is best, followed by the vertical distance method, the offset angle method and choosing interval points method.

关键词： Limiting Data compression Algorithm design and analysis Software algorithms Approximation algorithms compression algorithms Software

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MOVIE: a building block for the design of real time simulator of moving pictures compression algorithms

MOVIE: a building block for the design of real time simulato...

引用

International Conference on Application Specific Array Processors

作者： R. Barzic C. Bouville F. Charot G. Le Fol P. Lemonnier C. Wagner CCETT Cesson-Sevigne France IRISA Rennes France

This paper shows how a real-time simulator of moving pictures compression algorithms can be rapidly assembled using a basic building block, here called MOVIE (MOdule for Video Experimentation). The internal architecture of the MOVIE VLSI chip can be compared to a small systolic machine made of a 32-bit I/O processor, a reduced linear array of 16-bit computation processors and data video input/output mechanisms. Externally, the chip is provided with four 16-bit bidirectional data ports and three 16-bit bidirectional data video port. Several MOVIE chips can be easily clustered to allow the size of the linear array of computation processors to be increased. The MOVIE chip is fully programmable in a high level language in order to make program developments easier.

关键词： Motion pictures Video compression Signal processing algorithms Computer architecture Very large scale integration Transform coding Digital signal processing chips compression algorithms Concurrent computing Hardware

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Lossless and lossy image compression algorithms for on-board processing in spacecrafts

Lossless and lossy image compression algorithms for on-board...

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： K. Dezhgosha A.K. Sylla E. Ngouyassa Department of Mathematics and Computer Science Central State University Wilberforce OH USA

This paper discusses the results of a survey on various lossless and lossy image compression algorithms for on-board processing in spacecrafts. Three performance metrics are used to evaluate image compression algorithms and choose the most suitable one: compression ratio, computational requirements, and memory requirements. For evaluation of lossy compression algorithm, a fourth metric is also considered: transmission error susceptibility. Furthermore, a scenario involving spacecraft application of these algorithms is discussed. Alternative on-board processing architectures for such a spacecraft application are explored.< >

关键词： Image coding Space vehicles compression algorithms Data compression Image storage Image reconstruction Measurement Propagation losses Computer architecture Bandwidth

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VQ compression algorithms on a shared-memory multiprocessor system

VQ compression algorithms on a shared-memory multiprocessor ...

引用

Data compression Conference (DCC)

作者： A. Wakatani Konan University Japan

Summary form only given. We implemented parallel algorithms for vector quantization (VQ) compression on a shared-memory parallel environment and evaluated the effectiveness of the parallel algorithms. On such a system, we evaluate two parallel algorithms for the codebook generation of the VQ compression: parallel LBG and parallel tPNN and find that the parallel tPNN is superior in terms of space complexity, whereas the parallel LBG is superior in terms of time complexity and parallelism

关键词： compression algorithms Parallel algorithms Parallel processing Multimedia systems Cache memory Data compression

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Universal compression algorithms based on approximate string matching

Universal compression algorithms based on approximate string...

引用

IEEE International Symposium on Information Theory

作者： I. Sadeh Mathematics Department Ben-Gurion University of the Negev Beersheba Israel

Two practical universal source coding schemes based on approximate string matching are proposed. One is an approximate fixed-length string matching data compression, and the other is an LZ-type quasi parsing method by approximate string matching. It is shown that in the former algorithm the compression rate converges to the theoretical bound of R(D) for ergodic and stationary processes as the average string length tends to infinity. A similar result holds for the latter algorithm in the limit of the infinite database produced by the former algorithm. The main advantages of the proposed methods are the asymptotic behavior of the encoder implementation and the simplicity of the decoder. Practical results of image and voice compression will be presented.

关键词： compression algorithms Decoding Random variables H infinity control Switches Source coding Image databases Image coding Distortion measurement Data compression

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Application of Machine Learning Methods for Classification of Telemetric Frames by compression algorithms

Application of Machine Learning Methods for Classification o...

引用

International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： A.V. Levenets En Un Chye I.V. Bogachev Pacific National University 136 Tihookeanskaya str. Khabarovsk Russia

ISBN: (纸本)9781728149127

Problem statement: adaptive data compression systems include, as an integral part, a certain classifier that allows you to select the most efficient compression algorithm. At the same time, for such systems, parallel training of the classifier and data compression should be ensured, which increases the computational cost and complicates the architecture of the transceiver devices. Thus, the question of developing an effective classifier for compression systems is quite acute. Objective: to assess the possibility of using the simplest neural network architecture as a classifier for telemetric data frames. Results: the behavior of the averaged errors of training, generalization and confirmation depending on the size of the training sample obtained for a number of telemetry data sets is investigated. Based on the obtained data, neural network training parameters are proposed that allow achieving high efficiency of its work. A comparative analysis of the effectiveness of the proposed approach and a number of specialized numerical methods has been carried out, which has shown that even the most versatile artificial neural network architecture is significantly superior to systems using numerical classification methods.

关键词： compression algorithms Artificial neural networks Telemetry Training Biological neural networks Computer architecture

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Comparison, Segmentation and Analysis of Images by Use of Information compression algorithms

Comparison, Segmentation and Analysis of Images by Use of In...

引用

International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： Gancho Vachkov Faculty of Engineering Kagawa University Japan

Computational scheme for comparison, color analysis and segmentation of images is proposed in this paper. First of all, two growing unsupervised learning algorithms are introduced. They create the so called compressed information model (CIM) of the image that replaces the original ldquoraw datardquo (the RGB pixels) with a smaller number of neurons. Then two main features are extracted from the CIM, namely the center-of-gravity of the model and the weighted average size. They could be used separately or in a two-dimensional fuzzy decision block for similarity analysis of pairs of images. Another type of image analysis is the image segmentation. A simple method for segmentation is described in the paper. It uses the unsupervised learning algorithms to generate small predetermined number of neurons (key-points of the image). Each key-point is considered as a center of the respective image segment and the area of pixels around this center corresponds to the color details of this segment. The proposed computational scheme and its application are demonstrated in the paper on test image examples.

关键词： Image segmentation Image analysis Information analysis Algorithm design and analysis compression algorithms Image color analysis Unsupervised learning Computer integrated manufacturing Pixel Neurons

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Evaluation of lossless image compression algorithms for CFA data

Evaluation of lossless image compression algorithms for CFA ...

引用

International Symposium on Electronics in Marine (ELMAR)

作者： Gerald Schaefer Rafal Nowosielski Roman Starosolski School of Engineering Aston University Birmingham UK Institute of Computer Science Silesian University of Technology Gliwice Poland

The CCD sensors of a digital camera are arranged in a colour filter array fashion where each element records only one colour. While the majority of images captured with digital cameras are recorded in JPEG format, preserving the raw image data becomes more and more important. Typically each manufacturer uses their own proprietary raw image format and usually no compression is applied. In this paper we investigate what savings in terms of storage space can be gained by applying lossless compression to the raw colour filter array data. Based on an image set of 200+ images we evaluate eight different compression algorithms in terms of compression efficacy and compression speed. The results show that JPEG-LS seems to be best suited to be employed in digital cameras offering good compression ratios coupled with high speed.

关键词： Image coding Sensor arrays Charge coupled devices Digital cameras Charge-coupled image sensors Transform coding Image resolution Image storage Digital filters compression algorithms

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