| 1. | Although the fairness of mac layer is a local performance inmultihop wireless networks , it affects the overall performance
层的公平性虽然是一个局部特性,但影响网络的整体性能。 |
| 2. | In addition , using xml views for local data sources hides the local specificities of each system and enhances the transparency
这样隐藏了每个系统的局部特性，提高了平台的透明性。 |
| 3. | As a new study , wavelet analysis is called " the digital microscope " and applied well in time and frequency field
小波分析是一门新兴学科，被称为“数字显微镜” ，它在时频两域具有良好的局部特性。 |
| 4. | Traditional fourier transform is whole transform and ca n ' t reflect signal ' s local characteristic that is our needing
但由于fourier变换是整体变换，不能反映信号的时频局域特性，而我们最需要的就是这些局部特性。 |
| 5. | Such bi - directional modification of the summation property is specific to the modified input and reflects localized dendritic changes involving ih channels and nmda receptors
这种双向的整合特性的变化特异地表现在被激化的突触上，是包含ih通道和nmda受体活动在内的树突局部特性变化的结果。 |
| 6. | ( 4 ) designed an image authentication method of semi - fragile watermarking technique based on dwt . we transform the image into wavelet domain and group the four adjacent wavelet coefficients
( 4 )由于小波变换具有良好的空间?频率局部特性以及与人眼视觉特性相符的变换机制，在新一代静止图像压缩标准( jpeg2000 )和运动图像压缩标准mpeg - 4中占据了重要位置。 |
| 7. | Wavelet analysis is a kind of multi - scale analytical methods . compared with fourier and other ' s time - frequency tools , it has favorable local characteristics in both time and frequency , and it is widely used in signal and image processing
小波分析是一种高效的多尺度分析工具，相对于傅立叶分析和其他的时频分析工具，具有良好的时频特性、局部特性和多分辨率等优点，因而被广泛地应用在信号处理、图像处理中。 |
| 8. | The wavelet has good transforming character , and the wavelet neural network makes good use of this character , to make the image signal resolve sufficiently in term of frequency after the wavelet transform , and separate the information to reflect the outline and details of the image
该方法利用了小波变换良好的局部特性,使得图像信号通过小波变换后在频域上得到足够的分解,分离出了反映图像轮廓和细节的信息。 |
| 9. | The method based on clustering analysis put the image into subimage by the quarter tree method according to the local characteristic , and in the subimage finishing clustering . based on the center of t he subimage clustering we do the clustering to get the clustering on the whole image
基于聚类分析的方法根据遥感图象具有局部特性，将图象以四叉树的形式分成子区域来进行聚类分析，并以聚类作为采样点进行全局聚类。 |
| 10. | In the second chapter , wavelet theory , which is the theoretic basis of embedded zero wavelet coding is introduced briefly , including wavelet transform " s local characteristics , multi - resolution analysis , discrete signal ' s fast decomposition and construction , wavelet and filter group
第二章，对小波零树编码算法的理论基础? ?小波理论作了简要的介绍，包括小波变换的时频局部特性、多分辨率分析、离散信号的快速分解与重构以及小波与滤波器组的关系。 |
