给出适应性观测理论和集合变换卡尔曼滤波方法及其研究现状的综述。
This paper presents the main idea of adaptive observation and ensemble transform Kalman filter and their development.
从一个集合到另一集合的变换。
通过模糊集合运算与算子变换把模糊数学模型最终转化为一个0-1整数规划问题。
Then, the fuzzy set-covering model is transformed to a 0-1 integer planning problem through fuzzy set operation and operator transformation.
定义了集合上的反部分映射，并由此给出了集合上的变换半群的对偶半群的一个新刻划。
This paper defined anti-part mapping on set and has given a new deseription of dual semigroup of transformation semigroup on set.
针对这一情况，提出了一种基于整数小波变换和多级树集合分割编码压缩新算法。
This algorithm based on integer wavelet transform and set partitioning in hierarchical trees for controlling data's compression ratio and reconstruction difference expediently.
本文主要研究小波变换在图像压缩中的应用，分析研究等级树集合分割算法(SPIHT)。
In this paper, it is studied to compress image with wavelet transform, and the application of Set Patitioning in Hierarchial Trees (SPIHT) in image process is researched.
首先设计相对变换模型，用以提高参数集合的可区分性。
Firstly, relative transformation model to improve the distinction of the parameters is presented.
基本思想是对于预测 误差图像信号的分解，不再采用传统的晶格DCT变换，而是选择采用一个拥有更多基函数的冗 余字典集合。
The main idea lies in decomposing the difference frame of prediction in a redundant dictionary with much more basis functions, giving up traditional lattice DCT transform.
原始图像数据经过小波变换后，根据子带系数之间在空间上和方向上所呈现出的带间相似性，将像素集合重新定义为集合树。
After the DWT of the original image data, and according the similarity between the band shown by subband coefficients in the space and the direction, the collection of pixels is redefined as set tree.
原始图像数据经过小波变换后，根据子带系数之间在空间上和方向上所呈现出的带间相似性，将像素集合重新定义为集合树。
After the DWT of the original image data, and according the similarity between the band shown by subband coefficients in the space and the direction, the collection of pixels is redefined as set tree.
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