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jQuery 实现鼠标点击小图显示大图 ajax无刷新
jQuery实现 ajax无刷新鼠标点击小图显示大图的功能,类似于图片展示效果,鼠标单击一下,会显示当前张的大图片,可应用于焦点图当中,也可用于产品图片展示中。
- 2023-05-22 11:10:03下载
- 积分:1
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HA12B_1#_IG_start
说明: INCA数据采集,可以用CANape进行查看(INCA data acquisition, can be viewed with CANape)
- 2019-01-30 10:29:22下载
- 积分:1
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基于51单片机的俄罗斯方块程序源码
此程序基于51单片机,keil protel等程序,适用于需要用这些程序编写俄罗斯方块程序的人,经keil u vision3编译通过。
- 2022-02-26 19:25:00下载
- 积分:1
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C++图片信息隐写(可运行)
说明: 在图片末端隐藏信息,利用C++语言编程实现。(Picture information steganography.)
- 2020-06-17 06:20:02下载
- 积分:1
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sang
包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,DSmT证据推理的组合公式计算函数。( Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Combination formula DSmT evidence reasoning calculation function.)
- 2017-04-12 01:51:25下载
- 积分:1
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www.acm.pku.edu.cn上的1005题
www.acm.pku.edu.cn上的1005题-www.acm.pku.edu.cn of 1005 that
- 2022-04-16 06:06:40下载
- 积分:1
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AD538 relevant information, for the achievement of linear circuits very helpful
AD538的相关资料,对于实现线性化电路十分有帮助-AD538 relevant information, for the achievement of linear circuits very helpful
- 2023-06-26 00:50:03下载
- 积分:1
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travist-jquery.treeselect.js-1.0.0-9-g773a070
说明: 下拉选择树,适用于只有二级数据,致辞搜索模糊查询、多选、向后台传送数据(Dropdown Selection Tree)
- 2020-06-23 21:00:01下载
- 积分:1
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joint_sparse_algorithms-master
说明: 我们描述了所提出的方法对超声(US)信号的压缩多路复用的直接应用。该技术利用压缩多路复用器架构进行信号压缩,并依靠频域中US信号的联合稀疏性进行信号重建。由于换能器元件具有压电特性,因此可以获得有关US信号频率支持的准确先验知识,并且可以在联合稀疏算法中使用。
我们在数值实验中验证了所提出的方法,并显示了它们在秩次缺陷情况下相对于最新方法的优越性。我们还证明,与没有已知支持的重建相比,该技术可显着提高体内颈动脉图像的图像质量。(We describe a direct application of the proposed methods for compressive multiplexing of ultrasound (US) signals. The technique exploits the compressive multiplexer architecture for signal compression and relies on joint-sparsity of US signals in the frequency domain for signal reconstruction. Due to piezo-electric properties of transducer elements, accurate prior knowledge of the frequency support of US signals is available and can be used in joint-sparse algorithms.
We validate the proposed methods on numerical experiments and show their superiority against state-of-the-art approaches in rank-defective cases. We also demonstrate that the techniques lead to a significant increase of the image quality on in vivo carotid images compared to reconstruction without known support.)
- 2020-03-16 16:45:38下载
- 积分:1
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kalman和camshift
自适应跟踪识别的基本算法 能完成基本的追踪和预测功能(Adaptive tracking recognition)
- 2018-05-27 07:22:30下载
- 积分:1