dc_motor_ama_vary_n

说明：  浮点数的定义及计算方法，可用于初级学习之用(floap contral)

this program helps in Ant coloni optimization

matlab+dct+数字水印，这实在linux系统下运行的程序。(matlab+ dct+ digital watermarking, which is running under linux system procedures.)

模式识别留一法模式识别留一法模式识别留一法模式识别留一法模式识别留一法(Pattern Recognition Pattern Recognition leave-one-leave-one-leave-one pattern recognition pattern recognition pattern recognition leave-one-leave-one-)

本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。(This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.)

example of thining morphological in matlab code

生成alpha 稳定噪声的程序，该程序可以用来生成四个参数的稳定噪声(produce alpha stable noise,it has four parammeters)

分数阶统计是现代统计信号处理的重要内容，这里是alpha、beta分布的情况，仿真程序(Fractional statistics is an important content of modern statistical signal processing, where alpha and beta distribution emulator)

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.

MATLAB从入门到精通书中第三章的程序(MATLAB from the entry to the master' s program book chapter)