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关于学习C++的资料，适合初学者使用，有关数学建模(Learning C++ on the information, suitable for beginners, the mathematical modeling)
- 2010-09-28 10:58:11下载
- 积分：1
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BVAR
var模型的实现。针对var模型的算法，估计模型的参数。并对其进行检验(achieve var model. Var model for the algorithm, the estimated parameters of the model. And its test)
- 2013-12-03 16:45:28下载
- 积分：1
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mvdr
接受信号协方差矩阵估计的mvdr自适应算法。
方向图方针效果图(Receiving the signal covariance matrix estimation mvdr adaptive algorithm. Pattern renderings policy)
- 2020-12-24 16:59:05下载
- 积分：1
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PVArray_PartialShading
This example shows partial shading of a 250-W PV module consisting of 60 cells connected in series.
- 2017-05-04 17:15:43下载
- 积分：1
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xiaobo
小波变换的应用及对其的研究，提供给小波变换的初学者。。。(Application of wavelet transform and its research available to the wavelet transform beginners. . .)
- 2010-07-09 14:07:21下载
- 积分：1
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steady-state-model
此文档介绍了Matlab软件中的另外一种算法--稳态模型的建立。(This document describes the Matlab software in another algorithm- the establishment of the steady-state model.)
- 2013-05-14 23:48:37下载
- 积分：1
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signal-processing-method
一种振动信号频域处理方法，希望对大家有用(Vibration frequency domain signal processing method)
- 2012-04-07 12:03:31下载
- 积分：1
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Hand-Gesture-Recognition
Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
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Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.
- 2012-01-30 15:16:20下载
- 积分：1
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Giai-PT-bac-2II
Giai Phuong trinh bac hai using mablab
- 2014-09-05 01:18:01下载
- 积分：1
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RVM-class
支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误
差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推
广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过
实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)
- 2013-11-21 11:28:50下载
- 积分：1
