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LMMSE
LMMSE，线性最小均方误差估计，一种参数估计的方法，使用的代价函数为均方误差。(The LMMSE, linear minimum mean square error estimation, a parameter estimation method, using the cost function for the mean square error.)
- 2012-11-18 18:56:57下载
- 积分：1
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Python数据分析
数据分析(Python language learning data analysis)
- 2018-12-28 14:00:27下载
- 积分：1
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Power_Flow
load flow newton rapson
- 2014-08-29 00:50:48下载
- 积分：1
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MATLAB
说明： 这些资料对于初学MATLAB的人来说是不错的资料，希望对大家有用(The information for the beginner who MATLAB is good information, useful for all of us hope)
- 2009-07-23 17:01:32下载
- 积分：1
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mom-for-antenna
用矩量法计算天线辐射特性的MATLAB演示程序，程序很紧凑，执行效率很高(Moment method antenna radiation characteristics of MATLAB demonstration program, the program is very compact, high efficiency in the implementation)
- 2012-07-14 03:04:41下载
- 积分：1
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EKF-UKF-Toolbox-for-Matlab-V1.3
卡尔曼滤波 参数辨识 系统建模 自动识别(EKF UKF Toolbox for Matlab V1.3.rar)
- 2021-01-02 09:48:57下载
- 积分：1
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beta2impact
这段代码利用分步傅里叶方法求解非线性薛定谔方程的matlab程序(This code solves the NLS equation with the split-step method)
- 2013-12-12 02:33:37下载
- 积分：1
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MUSIC
空间谱估计基本原理
MUSIC，ESPRIT算法(MUSIC，ESPRIT)
- 2010-12-17 23:08:08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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huiseyuce
说明： 这是数学建模中应用最经典的灰色预测模型算法，在统计预测中常常应用，这是近代的智能算法之一(This is the application of mathematical modeling and forecast of the most classical algorithm, usually applied in the statistical prediction, which is one of the modern intelligent algorithm)
- 2010-04-22 10:34:13下载
- 积分：1
