dynamic-meterology-chapter-two--

说明：  应用无迹卡尔曼滤波较好的实现单目标跟踪。(Unscented Kalman filter applied to achieve good single-target tracking.)

AMATLAB Solver for Nonlinear Rational Expectations Models

自适应算法 lms仿真(LMS adaptive algorithm simulation)

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.

关于《射频电路设计》的Matlab程序，有与smith原图相关的，每章节中的图形程序。(On " RF circuit design" Matlab procedures, smith artwork associated with each section of the graphics program.)

this is decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc

MATLAB相关的命令总汇,供大家交流使用~(MATLAB-related command summary for all to share with ~)

Audio Watermarking 1

解决最小费用最大流问题，一般有两条途径。一条途径是先用最大流算法算出最大流，然后根据边费用，检查是否有可能在流量平衡的前提下通过调整边流量，使总费用得以减少？只要有这个可能，就进行这样的调整。调整后，得到一个新的最大流。(Minimum cost maximum flow problem to solve, there are generally two ways. One way is to use a maximum flow algorithm to calculate the maximum flow, then the cost side, check whether it is possible under the premise of the flow balance by adjusting the edge flow, so that the total cost can be reduced? As long as this possible, for such adjustments. Adjusted to obtain a new maximum flow.)

用matlab实现的svm源程序。这个程序可以进行svm分类。(Svm matlab implementation with source code. This procedure can be svm classification.)