期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
面向舰船目标检测的单通道复值SAR图像统计建模方法研究 被引量:3
1
作者 冷祥光 计科峰 +1 位作者 熊博莅 匡纲要 《雷达学报(中英文)》 CSCD 北大核心 2020年第3期477-496,共20页
合成孔径雷达(SAR)成像模式丰富、覆盖范围广、分辨率高,可以长期、动态、宏观地对海洋进行监测。在完全发展的相干斑假设条件下,传统单通道SAR图像舰船目标检测方法主要研究幅度信息。然而,其部分假设条件在高分辨率情形下并非严格成立... 合成孔径雷达(SAR)成像模式丰富、覆盖范围广、分辨率高,可以长期、动态、宏观地对海洋进行监测。在完全发展的相干斑假设条件下,传统单通道SAR图像舰船目标检测方法主要研究幅度信息。然而,其部分假设条件在高分辨率情形下并非严格成立,因此无法有效利用单通道SAR图像的相位或复值信息。该文面向舰船目标检测应用,将单通道复值SAR图像统计建模方法划分为幅度、相位和复值统计建模3个部分,首先简要综述了单通道SAR图像幅度统计建模方法,然后详细阐述了单通道SAR图像相位和复值统计建模方法,并重点介绍了其建模过程和参数估计方法。在此基础上,该文给出了作者研究小组在基于复值统计信息的单通道SAR图像舰船目标检测方面的部分最新研究结果,并分析展望了下一步研究方向。 展开更多
关键词 单通道SAR图像 舰船目标检测 复值信息 统计建模
下载PDF
On Normalization of Comprehensive Evaluation System with Complex Uncertain Information
2
作者 徐扬 曾宪奕 阮达 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期30-34,53,共6页
This paper systematically proposes basic requirements on normalization of comprehensive evaluation system with complex uncertain information due to human participation. Four basic academic ideas are as follows: 1) It ... This paper systematically proposes basic requirements on normalization of comprehensive evaluation system with complex uncertain information due to human participation. Four basic academic ideas are as follows: 1) It is necessary to normalize conditions of information acquisition. 2) The effectiveness of comprehensive evaluation depends on the correctness of information acquisition. 3) Any evaluation results can be transformed into linguistic satisfactory degrees. 4) Linguistic values can include a great deal of information. This paper mainly deals with how to select objects to be evaluated, evaluators (panelists) and the methods of information processing, how to construct criteria of evaluation, how to normalize terms of evaluation, the results of evaluation, and the procedure of evaluation. 展开更多
关键词 comprehensive evaluation uncertain information linguistic value satisfactory degree
下载PDF
Quantitative Evaluation of Neuroplastic Biomaterial for Human Brain Rehabilitation to Stroke Subjects
3
作者 Chiyuri Nagayama 《Journal of Chemistry and Chemical Engineering》 2013年第11期1036-1043,共8页
Neurorehabilitation involves training of brain activity, which influences the resistive torque and electromyogram. This quantitative evaluation is numerical modeling of biomaterial of human body. Measurement for rehab... Neurorehabilitation involves training of brain activity, which influences the resistive torque and electromyogram. This quantitative evaluation is numerical modeling of biomaterial of human body. Measurement for rehabilitation and developing numerical modeling in patients are useful for information technology education with healthcare background. The resistive torque and electromyogram were measured. Electromyogram is the neuronal activity from eight lower limb muscles. Both activities are output signals for angle input signals. The resistive torque of a stroke patient shows a hysteresis curve, and this is a velocity-dependent component, particular for stroke. Differentiated angle by muscle spindle, a velocity-dependent component, is a stretch reflex (spasticity). In an electromyogram of a stroke patient, SLR (stretch reflex via spinal cord) means a short latency reflex, and LLR (stretch reflex via cerebral cortex) means a long latency reflex. An example of some stroke electromyogram shows long latency reflex, and this is voluntary movement during the experiment. The example of some stroke resistive torque reveals that viscoelasticity is used for the intrinsic component. The example of some stroke electromyogram reveals that long latency reflex is used for the reflex component of lower limbs. Current research needs improvement. Intrinsic viscoelasticity is modeled by a second-order differential equation. The reflex component of stroke patients is modeled by a double exponential function. Open source software is in use. Information technology-based analyses by numerical modeling would be applied in future healthcare education. 展开更多
关键词 Analysis programming biological tissue educational effect developmental process.
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部