eig_penalty

该代码是lte数据传输中的加扰技术的源代码(The code is lte data scrambling technology in source code)

matlab在数学建模中的应用 第二章 原书配套 很好用(application in modeling with matlab chapter2)

Analisis de fallas en sistemas de potencia

calculation PI by method MC

Matlab Energy Detection Simulation to plot Probability of Detection (Pd) vs. Probability of False Alarm (Pf)

前向平滑的Root-MUSIC算法，可估计相干信源的波达方向(Forward smoothing Root-MUSIC algorithm to estimate the direction of arrival of coherent sources)

matlab滤波器，通过此滤波器可以得到所需求的波形(matlab filter, this filter can be the needs of the waveform)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

capture the E form tensile tests

蚁群算法是一种模仿蚁群行为的仿生优化算法，其实现机理包括两个基本阶段：适应阶段和协作阶段。在适应阶段，各可行解根据积累的信息不断调整自身结构，路径上经过的蚂蚁越多，信息量越大，则该路径越容易被选择：时间越长，信息量越小。在协作阶段，各可行解之间通过信息交流，以期望产生性能更好的解。(Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mechanism includes two basic stages: adaptation and collaboration. In adaptive phase, the feasible solution according to the accumulated information constantly adjust their structure, path through the more the ants, the greater the amount of information, it is the easier path is chosen: the longer the time, the smaller the amount of information. The collaboration stage, through the exchange of information between the feasible solution, expecting to generate better solutions.)