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某型红外空空导弹导引头目标像点扫描仿真研究 被引量:2
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作者 冯国强 李伟仁 邹强 《电光与控制》 北大核心 2005年第6期35-37,共3页
为了探讨红外导引头目标像点脉冲信号的产生规律,本文基于某型红外空空导弹导引头目标像点扫描及脉冲信号的产生原理,运用Visual C++语言根据面向对象技术编写了目标像点扫描仿真软件,以此对像点扫描过程及脉冲信号的产生进行了计算机... 为了探讨红外导引头目标像点脉冲信号的产生规律,本文基于某型红外空空导弹导引头目标像点扫描及脉冲信号的产生原理,运用Visual C++语言根据面向对象技术编写了目标像点扫描仿真软件,以此对像点扫描过程及脉冲信号的产生进行了计算机模拟。仿真结果表明,该软件比较真实地反映了目标像点的扫描过程及脉冲信号的产生规律,对分析同类型导弹导引头目标像点脉冲信号产生规律具有参考价值,并为进一步研究导弹跟踪目标所需的控制信号提供了条件。 展开更多
关键词 空空导弹 红外导引头 像点扫描 中信号 仿真程序
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Residual curvature migration velocity analysis for angle domain common imaging gathers 被引量:9
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作者 张凯 李振春 +1 位作者 曾同生 董晓春 《Applied Geophysics》 SCIE CSCD 2010年第1期49-56,99,共9页
Pre-stack depth migration velocity analysis is one of the keys to influencing the imaging quality of pre-stack migration.In this paper we cover a residual curvature velocity analysis method on angle-domain common imag... Pre-stack depth migration velocity analysis is one of the keys to influencing the imaging quality of pre-stack migration.In this paper we cover a residual curvature velocity analysis method on angle-domain common image gathers(ADCIGs) which can depict the relationship between incident angle and migration depth at imaging points and update the migration velocity.Differing from offset-domain common image gathers(ODCIGs),ADCIGs are not disturbed by the multi-path problem which contributes to imaging artifacts,thus influencing the velocity analysis.On the basis of horizontal layers,we derive the residual depth equation and also propose a velocity analysis workflow for velocity scanning.The tests to synthetic and field data prove the velocity analysis methods adopted in this paper are robust and valid. 展开更多
关键词 pre-stack depth migration velocity analysis ADCIGs residual depth equation velocity scanning
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Idiopathic sclerosing encapsulating peritonitis:Abdominal cocoon 被引量:17
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作者 Jenny N Tannoury Bassam N Abboud 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第17期1999-2004,共6页
Abdominal cocoon,the idiopathic form of sclerosing encapsulating peritonitis,is a rare condition of unknown etiology that results in an intestinal obstruction due to total or partial encapsulation of the small bowel b... Abdominal cocoon,the idiopathic form of sclerosing encapsulating peritonitis,is a rare condition of unknown etiology that results in an intestinal obstruction due to total or partial encapsulation of the small bowel by a f ibrocollagenous membrane.Preoperative diagnosis requires a high index of clinical suspicion.The early clinical features are nonspecif ic,are often not recognized and it is diff icult to make a def inite pre-operative diagnosis.Clinical suspicion may be generated by the recurrent episodes of small intestinal obstruction combined with relevant imaging f indings and lack of other plausible etiologies.The radiological diagnosis of abdominal cocoon may now be conf idently made on computed tomography scan.Surgery is important in the management of this disease.Careful dissection and excision of the thick sac with the release of the small intestine leads to complete recovery in the vast majority of cases. 展开更多
关键词 Peritonitis Sclerosis Encapsulate Intestinal obstruction Computed tomography scan Surgery
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Flotation bubble seed image filling algorithm based on boundary point features 被引量:3
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作者 ZhuHong Zhang Guoying Liu Guanzhou Sun Qi 《International Journal of Mining Science and Technology》 SCIE EI 2012年第3期289-293,共5页
Bubble seed image filling is an important prerequisite for the image segmentation of flotation bubble that can be used to improve flotation automatic control. These common image filling algorithms in dealing with comp... Bubble seed image filling is an important prerequisite for the image segmentation of flotation bubble that can be used to improve flotation automatic control. These common image filling algorithms in dealing with complex bubble image exists under-filling and over-filling problems. A new filling algorithm based on boundary point feature and scan lines ~PFSL) is proposed in the paper. The filling a|gorithm describes these boundary points of image objects by means of chain codes. The features of each boundary point, including convex points, concave points, left points and right points, are defined by the point's entrancing chain code and leaving chain code. The algorithm firstly finds out all double-matched boundary points based on the features of boundary points, and fill image objects by these double-matched boundary points on scan lines. Experimental results of bubble seed image filling show that under-filling and over-filling problem can be eliminated by the proposed algorithm. 展开更多
关键词 Flotation bubbleFillingChain codePoint featureScan line
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Scanning gate imaging of quantum point contacts and the origin of the 0.7 anomaly
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作者 Andrea lagallo Nicola Paradiso +6 位作者 Stefano Roddaro Christian Reichl Werner Wegscheider Giorgio Biasiol Lucia Sorba Fabio Beltram Stefan Heun 《Nano Research》 SCIE EI CAS CSCD 2015年第3期948-956,共9页
The origin of the anomalous transport feature appearing at a conductance G 0.7× (2e2/h) in quasi-lD ballistic devices-the so-called 0.7 anomaly-represents a long standing puzzle. Several mechanisms have been pr... The origin of the anomalous transport feature appearing at a conductance G 0.7× (2e2/h) in quasi-lD ballistic devices-the so-called 0.7 anomaly-represents a long standing puzzle. Several mechanisms have been proposed to explain it, but a general consensus has not been achieved. Proposed explanations have been based on quantum interference, the Kondo effect, Wigner crystallization, and other phenomena. A key open issue is whether the point defects that can occur in these low-dimensional devices are the physical cause behind this conductance anomaly. Here we adopt a scanning gate microscopy technique to map individual impurity positions in several quasi-lD constrictions and correlate these with conductance characteristics. Our data demonstrate that the 0.7 anomaly can be observed irrespective of the presence of localized defects, and we conclude that the 0.7 anomaly is a fundamental property of low-dimensional systems. 展开更多
关键词 two-dimensional electrongas (2-DEG) scanning gate microscopy 0.7 anomaly
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