LAB

This model design in matlab and this will generate offset shift keying modulated signal..

一个脸部、皮肤、眼睛探测,眼睛匹配的matlab源码(Face & Eye tracking, including face, skin and eye detection and matching.)

数字图像处理和机器识别C++和matlab识别书籍第二部分，讲解详尽，适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)

包络曲线的求法 matlab中的一种求上下包络的算法，特别经典的两种算法(Envelope curve for France matlab down in one envelope seeking algorithms, especially the classic two algorithms)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

Airport conveyer model

关于自动控制原理的一些matlab代码,帮助大家理解和学习matlab(About automatic control theory of some matlab code)

《MATLABSimulink通信系统建模与仿真实例精讲》DS_CDMA通信系统(" MATLABSimulink communications system modeling and simulation examples succinctly" DS_CDMA Communication Systems)

irisData is 150x5. row: Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3) the first 50x5 is Isis-setosa(1), the second 50x5 is Isis-versicolor(2), the last 50x5 is Isis-virginica(3). !!! Caution !!! X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)! So the algorithm will NEVER be 100 correct.

ex9_14 雷达的恒虚警处理（CFAR）。在雷达的数据中有很多的杂波，会造成虚警。所以我们必须进行处理，这里我们采用了慢门处理和快门处理，并且对处理后的结果进行比较(ex9_14 radar CFAR processing (CFAR). The radar data have a lot of clutter, this will result in false alarms. Therefore, we must deal with, here we have adopted a slow shutter door handle and deal with, and after the results were compared)