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calman
Kalman滤波器在单运动目标自动跟踪中的应用,相当经典，希望对大家有所帮助。(Kalman filter in a single moving object automatic tracking of applications, very classic, I hope to help all of you.)
- 2009-05-23 19:45:14下载
- 积分：1
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gaussxiaoqu
Gauss消去法，解高阶线性方程组（Gauss消去法完整程序）(Gauss)
- 2009-12-25 14:49:31下载
- 积分：1
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chap6
matlab图像处理实例详解chap6——图像复原技术(matlab image processing example explanation chap6- Image Restoration)
- 2013-11-06 14:24:47下载
- 积分：1
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system_identification_RELS001
说明： 系统参数辨识，用增广最小二乘算法实现。对书中的程序进行了改进：由于噪声是未知的，虽然我们模拟了系统的随机白噪声，但进行辨识时必须对噪声进行估计，见程序45行和53行。(System parameter identification, with the extended least squares algorithm. Procedures for improving the book: Because the noise is unknown, although we simulate a system of random white noise, but to identify the noise must be estimated, see the program of 45 lines and 53 lines.)
- 2011-03-22 10:40:02下载
- 积分：1
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matlab-entry-and-improve
matlab 学习技巧，现在把我用的，也就是对我帮助很大的留个文件传上去，希望对大家有用，第一入门与提高(matlab learning skills, and now I use, which is a great help to me to leave a document passed up, we want to be useful, the first entry and improve)
- 2013-08-24 11:41:58下载
- 积分：1
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Differential-Equations
采用matlab解微分方程，讲解比较详细，值得看看(Using matlab for solving differential equations, to explain in more detail, is worth a look)
- 2013-10-24 23:23:18下载
- 积分：1
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Learning-the-Kalman-Filter
里边有几个关于卡尔曼滤波的程序，非常易用简单，大家可以拿来学习学习，特别是要自适应滤波的(Inside there are several application of kalman filtering, is very simple and easy to use, people can learn to learn, especially to the adaptive filter
)
- 2015-01-28 09:39:25下载
- 积分：1
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differential-on-mathematica
基于mathematica的数学微分实验书籍，包括mathematica的基本教程和实验源码(Basic tutorials and source-based experimental math mathematica differential experiment books, including the mathematica)
- 2013-12-25 22:15:39下载
- 积分：1
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半监督分类算法
说明： 半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
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NR_PowerFlow
Newton-Raphson Power Flow Algorithm
- 2013-10-06 08:54:27下载
- 积分：1
