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xiejinxingjiaocaiyuanma
谢金星主编的LINGO V9.0一书的源码,对学习LINGO软件很有帮助.(Xie Venus LINGO V9.0 edited one book source, useful for learning LINGO software.)
- 2007-08-13 11:17:06下载
- 积分：1
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SPIHT_Matlab_Demo
SPIHT, a powerful image coder with full matlab code
- 2009-11-05 17:08:20下载
- 积分：1
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image-processing
说明： 关于图像处理的matlab小程序，其中包括图像滤波和图像去噪。(image processing image denoising image filter)
- 2011-04-09 20:08:38下载
- 积分：1
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SourceCode
Digit Recognition for MatLab code
- 2009-10-01 15:23:54下载
- 积分：1
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ex8_PPC
利用广义预测的方法对系统进行辨识和自使用研究，可用于多种模型的研究，注意是m文件。(Using the generalized method of predicting the system identification and self-use studies can be used to study a variety of models, note that m file.)
- 2015-01-07 14:08:26下载
- 积分：1
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NM
说明： matlab file computes for NM-RF (Regula-Falsi) method and Secant
- 2010-08-30 14:42:06下载
- 积分：1
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quanguoshumolunwen
2007年全国大学生数学建模获奖论文所需程序代码，其中有较详细的matlab编程，应该有些用处吧(Mathematical Contest in Modeling 2007, papers required for award-winning code, including more detailed matlab programming, it should be of some use)
- 2010-09-07 13:27:14下载
- 积分：1
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az1
scr power rectifier
- 2011-06-24 20:01:20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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loadflow4_NR_T1
Load flow By NR method.
- 2014-10-25 15:17:24下载
- 积分：1
