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变换数据的英文

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"变换数据"怎么读用"变换数据"造句

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  • transform data

例句与用法

  • Xml has spawned a set of related standards for querying and transforming data
    Xml已有一套查询和变换数据的相关标准。
  • Calling the encryption decryption routine becomes as simple as converting dates to and from internal or external format
    于是,调用加密/解密例程就变得像在内部格式和外部格式之间变换数据一样简单。
  • The main contributions in this paper can be summarized as follows : ? the choice of the threshold in mallat ? image multiscale edges extraction based on wavelet transfonnation is improved . a new way of choosing the threshold by using rectangle self - adapting method is presented
    这样一来,当我们利用这种小波变换数据进行图像编码压缩后,从这些压缩数据中仍可直接提取图像边缘而勿需重构图像,这就为在压缩数据域中提取图像特征奠定了基础。
  • In this paper , the author propose a new gm ( 1 , 1 ) model for oscillation series using the transformation of triangle function , and change them to be the monotone series , then constructe gm ( 1 , 1 ) model for simulating prediction of original given data . 3 . research on gm ( 2 , 1 ) model , the author find that there is no law to choose the initial value of gm ( 2 , 1 ) model
    因此,利用本论文提出的新的函数变换数据生成办法,提出一种函数变换型gm ( 1 , 1 )模型,即将初始的周期振荡数列首先变换成单调增加数列,再利用gm ( 1 , 1 )模型进行预报。
  • One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5 . 3 demanding ) , then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles . the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero , then to have dynamic huffman coding to the quantized char array which is composed of multiple , wavelet ' s level , datum length , low frequency coefficients and reserved high frequency coefficients . mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
    第一种情况的压缩方法为:采用传统的傅立叶变换把原始信号从时间域变换到频率域,舍弃20次及其以上的高次谐波成分(保证了gb / t14953 ? 93d5 . 3要求) ,然后对保留的直流分量、基波和各次谐波的幅值和相角数据量化后和量化时分别乘以的倍数系数构成一个数组,以字符形式保存,采用静态huffman编码对变换数据进行压缩;采用离散小波变换把原始信号从时间域变换到频率域,然后对分解得到的高频系数进行阈值量化处理,对乘以的倍数系数、小波变换的阶数、小波变换后的低频、各级高频以及原始数据长度、量化后的低频系数以及保留的高频系数大小、位置构成一个数组,以字符形式保存,采用动态huffman编码对这个文件进行压缩。
用"变换数据"造句  
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