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  correlation entropy
Using experiment rain attenuation data at different rain rate, the correlation entropy and residue error of the system is obtained by system identification method.
      
On the basis of correlation entropy and residue error, we can determine the order of the predication system.
      
  correlation entropy
Using experiment rain attenuation data at different rain rate, the correlation entropy and residue error of the system is obtained by system identification method.
      
On the basis of correlation entropy and residue error, we can determine the order of the predication system.
      


The quantitative representation of the redundancy and complementarity between sensors is derived from information theory,and the features of mutlisensors redundancy and complementarity are analysed.Then,we proposed a concept of the correlation entropy,which is used to indirectly describe the redundancy of multisensors information,and a good result is achieved.The work in this paper provides a basis for intensive research on the fault diagnosis technology.

从信息论的观点出发 ,导出了传感器信息融合中的冗余性和互补性的定量描述 ,分析了传感器冗余性和互补性的特点 ,并从实际应用出发提出了信息冗余性的度量指标——相关熵的概念 ,用它来间接评价传感器信息间的冗余性取得了较好的效果。这为设备运行故障诊断技术的深入研究打下了基础 ,具有工程应用价值

A reversible compression scheme for high-resolution remote sensing image is introduced. The method involves four steps. First, the whole image is divided into small blocks. Second, an integer wavelet transform is used to obtain a set of biorthogonal subclasses of images, and the image block is decomposed into a six-level pyramidal representation with Mallat algorithm. Third, an optimal bit-allocation process is applied to computer the appropriate bit-rate for each subband. Finally, the wavelet subbands are encoded...

A reversible compression scheme for high-resolution remote sensing image is introduced. The method involves four steps. First, the whole image is divided into small blocks. Second, an integer wavelet transform is used to obtain a set of biorthogonal subclasses of images, and the image block is decomposed into a six-level pyramidal representation with Mallat algorithm. Third, an optimal bit-allocation process is applied to computer the appropriate bit-rate for each subband. Finally, the wavelet subbands are encoded with a Bit-Plane Coding. It can be used to compress image at arbitrary bit rate. In the experiment, the authors select one aerial photo and four satellite images, from SPOT5, IKONOS, Landsat, China Earth Resource satellites, respectively, to test the performance of the algorithm. The experiment shows that the algorithm is as efficient as JPEG2000, despite its simplicity.

针对遥感影像的特点 ,采用整数小波变换、最优比特平面编码和上下文相关熵编码 ,实现高分辨率光学遥感影像的快速压缩。该算法支持多分辨率、多信噪比的嵌入式码流结构 ,可实现从无损到有损任意码率或多种质量的图像编码。实验表明 ,该算法简单高效 ,可满足遥感影像远程传输中实时压缩的要求

 
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