cluster

采用粒子滤波的方法解决船舶的位置的例子，有具体的图说明(Using the particle filtering method to solve examples of the location of the ship)

常见的潮流程序主要采用直角坐标来进行，本程序采用极坐标对简单输电网系统潮流进行计算(Common trend of the procedure used mainly for rectangular coordinates, polar coordinates, the program uses a simple grid system to calculate the trend)

Block base DCT data hiding and recovery of secrete image.

This contains the data mining implementation for classifiers

一种协方差矩阵自适应优化算法的说明文档和MATLAB实现。测试函数经测试可以运行。(A covariance matrix adaptive optimization algorithm for documentation and MATLAB implementation. The test function can be run by testing.)

说明：  多焦点图像融合 利用基于双边梯度的锐化标准 相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"(This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion," Optics Communications, Vol. 284, Jan. 2011, pp. 80-87.)

Wave drag estimation for wings according to Korn method

In this project an adaptive beamforming technique is proposed based on directly minimizing the BER1. A particular approach that has shown real promise in achieving substantial capacity enhancements is the use of adaptive antenna arrays. A beamformer appropriately combines the signals received by the different elements of an antenna array to form a single output. Classically, this has been achieved by minimizing the mean square error (MSE) between the desired output and the actual array output. It is demonstrated that minimum BER (MBER) approach utilizes the antenna array elements more intelligently than the standard MMSE2 approach, since it directly optimizes the system’s BER performance rather than minimizing the MSE, where the latter strategy often turns out to be deficient.

使用matlab通信工具箱进行简单的通信仿真(To use matlab communication toolbox to simple communication simulation)

regulator matlab simulation PID control is ubiquitous. While simple in theory, design and implementation of PID controllers can be difficult and time consuming in practice. PID control involves several tasks that include: