zaixianquanxi

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

cognitive radio project report along with simulation results

小波分析在语音特征参数提取方面的应用,很实用，经测试！(Wavelet analysis in terms of the voice feature extraction!)

Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

包括了选择悬臂梁的第一阶模态求解方法 模态坐标函数仿真 振动控制仿真(Including the first-order modal solving choose cantilever method of modal coordinate function simulation of vibration control simulation)

可以提取一幅图中想要的目标，随机调制信号下的模拟ppm，数值分析的EULER法。( Target can be extracted in a picture you want, Random ppm modulated analog signal under EULER numerical analysis method.)

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.

256QAM和QPSK调制的MATLAB仿真............(QPSK modulation 256QAM and simulation of MATLAB ............)

《MATLAB语言实用教程》采用最新版MATLAB R2009a，详细介绍了MATLAB的编程基础及其扩展，使读者能够快速掌握MATLAB基本编程的方法和不同工具箱的使用方法。《MATLAB语言实用教程》共分11章，包括MATLAB入门、MATLAB的基本元素与数据类型、数组与矩阵、MATLAB的程序、MATLAB的图形绘制、MATLAB的科学计算、符号计算、MATLAB在工程数学中的应用、创建用户图形界面、Simulink建模与仿真和MATLAB的应用等内容。 (" MATLAB language tutorials and practical" using the latest version of MATLAB R2009a, introduced in detail the MATLAB programming foundation and its extensions, allowing the reader to quickly grasp the basic MATLAB programming methods and different toolbox to use. " MATLAB language tutorial" is divided into 11 chapters, including the MATLAB MATLAB entry, basic elements and data types, arrays and matrices, the MATLAB program, MATLAB MATLAB graphics rendering, scientific computing, symbolic computation, MATLAB in engineering mathematics application, creating a graphical user interface, modeling and Simulation of Simulink and MATLAB application content.)