QAM128_mod1

fusion of panchromatic and multispecral image using differet types of image fusion techniques

计算复杂网络平均路径距离，运行无错误，推荐下载！(The computational complexity of network average path distance, error-free operation, it is recommended to download!)

基于负荷增加的电力系统风险评估蒙特卡洛仿真程序，以仿真可以使用(Based on the system load increases the risk of power assessment Monte Carlo simulation program can be used to emulate)

Genetic and matlab programming

this code is to realize a RANSAC algorithm

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

this is a m file for the im

关于替代数据法在验证脑电信号是非线性上的研究与应用。(Testing for nonlinearity in time series_the method of surrogate data。)

Time series statistical analysis, used to obtain various statistics,include Variance Median The maximum value The minimum value Standard deviation Skewness Kurtosis Jarque-Bera test Concomitant probability of Jarque-Bera test

四元数多重信号分类算法的matlab程序(MUSIC algorithm of quaternion)