小波去噪的思想MATLAB编程

说明：  用Matlab实现相关分析,并建立其系统界面；对给定的试验数据进行相关分析(Correlation analysis using Matlab implementation and the establishment of the system interface on a given test data correlation)

说明：  matlab下实现对高斯噪声下的小目标的滑窗检测。数据为1000个点，滑窗窗口大小为30，每次滑动一个点的数据。采用的是窗内30个数据先各自平方，然后求和，再除以窗口大小。实验表明能有效检测雷达目标信号。(matlab under Gaussian noise to achieve a small target detection sliding window. Data for 1000 point sliding window window size is 30, each time moving a point of data. Using the data before the window each 30 square feet, and then summed, divided by the window size. Experiments show that the radar target signal can be detected.)

一个用于石油降解率预测的SVR程序，采用遗传算法优化支持向量回归模型的参数。供大家参考！(a SVR model for prediction of oil degradation rate. The parameters of SVR model was optimized by GA.)

层次分析法编码，其中有原始例子的数据，可以只改数据就能用了(AHP coding, including original examples of the data, you can only change data can be used)

利用逻辑回归实现二分类的matlab程序。随机生成训练样本，利用梯度下降法进行训练，并且在样本图上画出了分类边界。(Logistic regression for binary classification matlab procedures. Randomly generated training samples, the training using the gradient descent method, and is shown in Figure on the sample classification boundaries.)

经典的OFDM仿真程序,比较简单，适合初做仿真者用。(A symple program of OFDM)

基于NS模型模拟单车道交通流 采取开口的边界条件 包括加速、减速和随机慢化过程 绘制时空图和流密图

识别线条的程序，自己的原创，能识别各种颜色的线条(Identify the lines of the program, their own originality, can identify a variety of color lines)

针对通信网络中多重QoS约束条件下的多播路由计算，提出了一个基于模拟退火技术的改进遗传算法HGA-QoSR。该算法把模拟退火技术的局部寻优能力与遗传算法的全局寻优能力有机结合，并利用隔离小生境机制控制种群的独立进化，使演化过程中的种群保持生态多样性，以提高算法运行效率和解的质量。理论分析和仿真实验表明，与传统遗传算法相比较，该算法性能有显著改进。 (Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved.)

说明：  Description : This package includes a configurable Simulink model for three different types of DC-DC converters (Buck, Boost and Buck-Boost converters) with a PWM PI controller. The example provided shows a case to boost voltage 5 volts to 25 volts. It can be used to learn DC-DC converters and their control. The model itself also provides an example how to mask a subsystem in Simulink. A HTML and a pdf files are provided to explain the principles of the unform Simulink model for three different types of DC-DC converters. The model does not require other Simulink blocks, such as SimPowerSystems.