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compression scheme meaning in English

压缩方法

Examples

  1. In these days , image compression is put into practice widely in many fields such as biomedical applications , wireless communications , computer graphics etc . the paper is under the background of " the research on recognition algorithm of video signal sampling system in intelligent transportation system " , which is a project of hubei province scientific deparment . pointed to the problem of image compression in image signal sampling and transmitting real time , this paper mainly discusses and analyzes lossy compression of still images deeply based on theories of image coding , artificial neural network , wavelet transform , the paper presents a compression scheme for still images
    本论文以湖北省科技厅项目“智能运输系统视频信号采集系统识别算法研究”为背景,针对图像信号采集和实时传输中的图像压缩问题,基于图像编码理论、人工神经网络理论和小波变换理论对静态图像的有损压缩技术进行了较深入的分析、比较和研究,提出了静态图像的有损压缩方案。
  2. In the first part the wavelet analysis theory is systematically summarized in the perspective of signal analysis and digital signal processing . in succession , the excellent of the wavelet image coding techniques are introduced with the focus on the ebcot coding algorithm . at the last part , aiming at the properties of hyperspectral images , three compression schemes are presented : dct + ebcot , differential method + ebcot and predictive method + ebcot
    文中首先从信号分析和数字信号处理的角度对小波分析理论进行了系统的总结,在此基础上介绍了基于小波的图像编码技术的优秀成果,重点介绍了基于小波的ebcot编码算法,接着,针对高光谱图像的特征,本文提出了以下三种压缩方案: dct变换+ ebcot的压缩方案、差值法+ ebcot的压缩方案及预测法+ ebcot的压缩方案,对三种压缩方案进行了软件仿真,并将仿真结果与其它压缩方案进行了比较。
  3. The finally proposed compression scheme takes more psychoacoustic effe cts into consideration , and takes the advantage of classified process , dynamic dictionary and sinusoidal modeling with perceptual gradient . both of its bit rate and speech quality are superior to some existing international coding schemes and standards . 5
    最后提出的综合编码方案比较多地考虑了心理声学因素,融合了分类处理、动态字典和感知梯度建模思想,在编码位率和合成语音质量上都比现有的一些国际编码方法和标准要好。
  4. In the paper , chapter 1 gives a comprehensive introduction of digital image compressing including its recent status , technical standards , classification in the world . chapter 2 introduces briefly the thought and ii procedure of vector quantization , describes lgb algorithm and vector quantization based on sofm neural network . chapter 3 discusses predictable coding in lossy and lossless aspects , analyzes adaptive predictable coding based on bp neural network , introduces the evaluation of algorithm on neural network in image compression . chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related , analyzes the strategies of image coding in transformed domain . in chapter 5 images are decomposed and represented by wavelet transform , then discusses the characteristics and effects of wavelet functions in image compression , analyzes the wavelet coefficients after images are decomposed ; based on the theories and analyses in the prior chapters , the paper presents an image compression scheme and gives results . the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy , so that , it can require satisfactory results of image compression
    方案首先利用小波多分辨分析性质,对图像进行小波分解,对分解后各子图的小波系数进行了统计分析,针对各子图的小波系数特点,对不同的子图分别采用不同的压缩方法,低频子图采用基于神经网络的自适应预测编码,高频子图采用基于神经网络的矢量量化编码,从而实现对图像数据的压缩处理。本论文第一章介绍了数字图像压缩处理的国内外当前的概况以及其技术标准和分类。在第二章,介绍了数字图像的矢量量化技术的数学思想和过程,对lbg算法和基于sofm神经网络的矢量量化进行了阐述、分析。
  5. With different modeling methods and quantization techniques , the speech compression schemes discussed in this thesis include : the compression based on general matching pursuit sinusoidal modeling , the compression based on sinusoidal modeling with perceptual gradient , the compression based on dynamic dictionary matching pursuit , the compression scheme using classified dynamic dictionaries , and the integrated compression scheme that combines the sinusoidal modeling with perceptual gradient and the classified dynamic dictionaries
    针对各种不同建模方法和参数量化技术,本文探讨了基于普通匹配跟踪正弦建模的压缩编码、感知梯度正弦建模压缩编码、基于动态字典匹配跟踪的压缩编码、分类动态字典压缩编码,以及结合感知梯度正弦建模和分类动态字典的综合编码方案。
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