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| DDS的背景杂散信号分析 | |
| 引用本文： | 张玉兴,彭清泉. DDS的背景杂散信号分析[J]. 电子科技大学学报(社会科学版), 1997, 0(4) |
| 作者姓名： | 张玉兴 彭清泉 |
| 作者单位： | 电子科技大学电子工程系 |
| 基金项目： | 国家“九五”重点科研项目 |
| 摘 要： | 采用信号分析的方法，在对相位累加器进行等效的基础上系统地推导出了幅度量化误差（ＲＯＭ舍位）对直接数字频率合成器（ＤＤＳ）频谱分布的影响规律。所得到的理论推导结果与有关文献给出的计算机模拟结果符合较好，进一步完善了ＤＤＳ的理论体系。 |
| 关 键 词： | 直接数字频率合成器；相位累加器；只读存储器；幅度量化；杂散 |
Neural Network Based Ultrasonic Medical Image Automatic Segmentation |
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| Wang Tianfu Zheng Changqiong Li Deyu. Neural Network Based Ultrasonic Medical Image Automatic Segmentation[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 1997, 0(4) | |
| Authors: | Wang Tianfu Zheng Changqiong Li Deyu |
| Abstract: | Segmentation is one of the most important and difficult problems in multidimensional ultrasonic medical image reconstruction.An automatic segmentation method combining the nearest neighbor classifier with self organization neural network is studied in this paper.In addition to the automatic segmentation benefit,it is proved by experiments that the method exceeds the traditional K means method in stability,adaptability and exactness etc. |
| Keywords: | self organiation K means the nearest neighbor classifier ultrasonic medical image segmentation |
| 本文献已被 CNKI 等数据库收录！ | |