-
kriging
kriging模型,用于替代模型,matlab程序,适合数据拟合和预测各种不同条件下的情况(kriging model for alternative model, matlab program for data fitting and projections under various conditions)
- 2013-12-24 20:25:56下载
- 积分:1
-
cyclostationary_toolbox
循环平稳工具箱,其中包括谱相关函数,循环谱等多个非常有用的matlab程序(cyclostationary_toolbox)
- 2009-02-10 12:10:00下载
- 积分:1
-
antenna_RectPatch.m
有两个代码文件,是分别计算微带贴片天线设计时背馈和侧馈两种情况下的天线尺寸的,很全很精确!(There are two code files, which separately calculate design of microstrip patch antenna fed back and the side-fed both cases, the antenna size, it is all very precise!)
- 2009-10-25 17:05:53下载
- 积分:1
-
In
说明: Robot indexeur - Maroc El Mehdi El Oufir
- 2014-12-02 01:27:11下载
- 积分:1
-
AlamoutiBPSKSim
Code for Alamouti using BPSK
- 2011-05-09 22:02:15下载
- 积分:1
-
Judgment-function-distribution-code
判断一组数据的概率分布函数,包括正态分布、泊松分布、伽马分布等。(The probability distribution function to determine a set of data, including a normal distribution, the Poisson distribution, gamma distribution.)
- 2013-03-18 01:33:02下载
- 积分:1
-
karmaa
现代数字信号处理中的卡尔曼滤波的matlab实现,通过迭代逼近真实值。(Kalman filter matlab modern digital signal processing to achieve through the iterative approximation of the true value.)
- 2012-09-21 00:05:05下载
- 积分:1
-
2-Determinando-Ganancia-Critica
A short code used to know the frecuency to sintonize a sistem using a PID control
- 2015-01-19 14:19:34下载
- 积分:1
-
Matlab 时频分析工具箱
matlab时频分析工具箱,时频分析需要(Matlab time-frequency analysis toolbox, time-frequency analysis needs)
- 2021-02-04 13:29:58下载
- 积分:1
-
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