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forward
uses the forward difference method for a European call.
- 2010-02-08 16:51:02下载
- 积分:1
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the-sixth-chapter
《模式识别与智能计算》部分函数的源程序第六章(The sixth part of the function of the source of Pattern Recognition and Intelligent Computing)
- 2013-05-18 19:50:10下载
- 积分:1
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waveletandcomp
根据对所输入的png格式的真彩图像、小波类型(db9或haar)和相应的阈值进行了三级非标准小波harr或db9的分解和重构,从而达到了对原图像的压缩处理的
(Entered based on the true color of the png format images, wavelet type (db9 or haar) and the corresponding threshold for the three non-standard or harr wavelet decomposition and reconstruction of the db9 to achieve a compression of the original image processing)
- 2009-06-05 09:25:39下载
- 积分:1
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the-dynamic-programming
利用matlab实现的动态规划源码
包含了动态规划论文和仿真实例(Use matlab to achieve the dynamic programming source code)
- 2011-10-25 20:40:55下载
- 积分:1
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GA
说明: GA算法,分步实现,更加清晰简单易学,快速掌握GA算法的使用(GA algorithm, step-by-step implementation, more clear and easy to learn, quick to master the use of GA)
- 2012-08-31 20:00:54下载
- 积分:1
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AHP层次分析例子——简单型
说明: ahp层次分析,一个简单的实例来诠释ahp的整个过程,完全符合整个开发流程。(ahp-level analysis, a simple example to explain the whole process of ahp entirely consistent with the overall development process.)
- 2005-09-10 00:54:01下载
- 积分:1
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EVM2.0
Error Vector Magnitude Calculation
- 2010-05-09 20:52:15下载
- 积分:1
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duo-te-zheng
:该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法,提出了基于多
特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究,
提出了一个LTP 关键纹理模型,既增强了目标的关键纹理信息,又简化了LTP 纹理模型。在此基础上,提出一
种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法,有效地解决了Mean Shift 算法的鲁棒性问题。
为进一步提高对快速运动目标的跟踪速度和跟踪性能,该文引入了卡尔曼滤波器对目标进行预测。实验结果表明,
该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)
- 2012-06-09 09:12:48下载
- 积分:1
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ga_inverted-pendulum
Matlab code for GA alogrithm, inverted pendulum
- 2013-12-18 12:37:59下载
- 积分:1
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LDA_Train
trainer Linear Discriminant analysis. EEG signal
- 2014-12-14 14:51:06下载
- 积分:1