Holtz

基于多相结构的信道化接收机，合成孔径雷达（SAR)目标成像仿真，cordic算法的matlab仿真。( Channelized receiver based on multi-phase structure, Synthetic Aperture Radar (SAR) imaging simulation target, cordic matlab simulation algorithm.)

把地心惯性坐标系中的坐标转换为经度纬度和高度(convert Geocentric inertial coordinate system to longitude latitude and altitude)

watermarking, embedd text into image, using matlab

逆变器电路初学者可以看看，都是自己编写，可以使用(Inverter circuit beginners can see, all I have written, you can use)

卡尔曼滤波，很有用。和维纳滤波比较。程序代码，丰富。大家可以多学习(Kalman filtering, very useful. And Wiener filtering comparison. Program code and rich. We can learn more)

使用自然梯度盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。同时给出了串音误差。(Blind separation using the natural gradient algorithm to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty. Crosstalk error is also given.)

解线性方程组的直接法（标准数值算法），包括高斯消去法程序、列主元高斯消去法程序、LU分解以及用LU分解求线性方程组、Cholesky分解以及用Cholesky分解求线性方程组、改进的Cholesky分解以及用改进的Cholesky分解求线性方程组、解三对角方程的追赶法。全部为本人原创程序，且全部经过测试无误。共9个MATLAB程序。程序内部含详细注释。(Solving linear equations of the direct method (standard numerical algorithms), including Gaussian elimination procedure, the column pivot Gaussian elimination procedure, LU decomposition and the use of linear equations, LU decomposition, Cholesky decomposition, and find line with the Cholesky decomposition linear equations, Cholesky decomposition and improved using the improved Cholesky decomposition of linear equations, solution of tridiagonal equations pursuit method. All of my original program, and all tested correctly. A total of nine MATLAB. Internal procedures with detailed notes.)

粒子群算法，为最优化问题的一种解法，调用方法和参数包含在主文件里。使用matlab实现(Particle swarm optimization for optimization problems, a solution, calling the method and parameters included in the main file. Using matlab to achieve)

基于matlab的三维图像分割，没有错误(3d segmentation method based on matla)

求最小PID可达方差,用于评价PID控制系统的控制系能，比最小方差控制最为评价基准更可靠(PID up to find the minimum variance control system for evaluation of PID control system can be more than the minimum variance control most reliable evaluation criteria)