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ESPRIT
旋转不变技术估计信号参数(ESPRIT)算法是子空间估计的两个经典方法,它们都能够有效地估计特征子空间。程序包里面实现了用LS估计和TLS估计的ESPRIT算法。(ESPRIT estimates signal parameters (ESPRIT) algorithm is estimated that sub-space of two classical methods, they will be able to estimate the characteristics of effective subspace. Inside a package with LS estimates and estimates of the ESPRIT algorithm TLS.)
- 2009-04-26 17:39:30下载
- 积分：1
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QPSKwithAWGNRayleighchannel
对于QPSK性能分析的源码,最后给除2种信道下的误码率比较图(QPSK performance analysis for the source, the final addition to the two types of channel bit error rate plan)
- 2007-06-23 18:01:13下载
- 积分：1
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beelden
2D pca face detction
- 2012-11-05 23:55:56下载
- 积分：1
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granger_cause
格兰杰因果检验：检测两个样本之间的因果关系，常用到预测中(Granger causality test: detecting causal relationship between the two samples, used to forecast)
- 2013-12-11 10:27:24下载
- 积分：1
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KS样本划分代码
K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distribution F=F0, and the principle is that if the H0 is set up, the max|v/n-F0 (QJ) should be very small, and the hand calculation is almost impossible in most cases, usually with the aid of statistical software, such as SAS, S+, etc.)
- 2018-04-17 19:07:02下载
- 积分：1
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zaibo3
模拟波在功能梯度材料中的传播，解压后为.m文件(Simulate wave propagation in functionally graded materials, after decompression. M file)
- 2011-09-17 11:34:02下载
- 积分：1
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skeleton
skelton detection by delition
- 2009-11-23 16:14:43下载
- 积分：1
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ESPRIT_AOA
is esprit aoa algorithm
- 2010-12-15 03:39:45下载
- 积分：1
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Character-Recognition(Lib-SVM)
支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)
- 2011-05-22 08:57:15下载
- 积分：1
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PV-model
Photo Voltaic model System
- 2014-12-22 23:30:43下载
- 积分：1
