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000
顾比移动平均线组合，用于MT4操作平台中的交易工具(Care than the combination of moving average for the MT4 trading platform in the tool)
- 2010-11-22 16:13:49下载
- 积分：1
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algorithm-phase
说明： 基于相位一致的边缘检测算法，matlab源代码(Based on the same edge detection algorithm phase, matlab source code)
- 2011-02-23 21:13:35下载
- 积分：1
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lena
说明： lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。
(lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suitable for numerical treatment of the double format, and then call the function of two-dimensional wavelet decomposition for image decomposition, and finally in order to clearly show the decomposition of the image of the tower structure , the corresponding region in the image number of the line drawn.)
- 2008-09-29 09:18:37下载
- 积分：1
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knniris
fusion svm_knn the output of svm will be the input of knn classifier
- 2013-05-02 23:48:11下载
- 积分：1
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test3
数字图像处理技术 中图像增强方法中的 线性变换方法 基于 matlab 实现(Digital image processing technology in image enhancement method based on linear transformation method matlab realize)
- 2014-04-17 10:10:51下载
- 积分：1
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Warshell2
无线传感器网络在不同节点数量下，连通率与通信半径的关系，利用蒙特卡洛方法仿真1000次(Relations between communications radiusand connectivity rate in WSN)
- 2014-07-01 09:19:58下载
- 积分：1
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matlab100
matlab实用例程百例，100个实用的MATLAB例程代码(matlab utility routines 100 cases, 100 practical routines MATLAB code)
- 2010-03-15 09:42:40下载
- 积分：1
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rengongmianyi
Matlab人工免疫算法的利用,希望对大家有帮助(Matlab using artificial immune algorithm, we want to help)
- 2010-05-13 17:00:07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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scatterinwire2
antenna systems continue
- 2010-05-19 03:44:36下载
- 积分：1
