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BGSA: binary gravitational search algorithm

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))

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.

DOA估计源码，Bartlett估计算法，估计性能极佳(DOA estimation matlab code)

说明：  it s matlab face detection pdf that will help u alot

用一般的最小二乘方法和SVD—TLS（总体最小二成）方法估计观测数据的ARMA模型的AR参数。(Least squares method and with the general SVD-TLS (Twenty-general minimum) to estimate the ARMA model of observed data AR parameters.)

用matlab实现投资问题（类似于0-1背包问题，但更复杂）的动态规划(Problem with matlab realized investment (like the 0-1 knapsack problem, but more complex) dynamic programming)

模糊逻辑控制方法，已应用到混合动力项目中，值得参考(logic control)

《空时无线通信导论》，第四章的所有图片的matlab的重现程序，和仿真结果。仿真程序包括MIMO信道容量、发射端不知晓信道信息时信道容量等程序。(" Introduction to space-time wireless communications," Chapter IV reproduce all the pictures of matlab procedures, and simulation results. The simulation program, including MIMO channel capacity, the transmitter does not know when the channel information channel capacity and other procedures.)

说明：  单相逆变器simulink仿真，用MATLAB的Simulink模块对单相逆变器进行仿真，并绘制波形。(Simulink simulation of single-phase inverter, use Simulink module of MATLAB to simulate single-phase inverter and draw waveform.)