ios_components_and_8_demos

有关向量2Z变换的matlab源码，有兴趣的同学可以看一看(2Z transformation of the vector matlab source, interested students can take a look at the)

将LaTeX的符号在matlab中转换成为图像, 并显示在当前的图像上. 这个功能对于在matlab中使用大量LaTeX符号的图像有极其方便的处理作用.()

多用户MIMO预编码技术：块对角化BD，分别采用SVD技术，最大似然检测，最小均方误差检测的误码率性能仿真代码。里面有代码，仿真图等。(Multi-user MIMO precoding techniques: block diagonalization BD, respectively, using the SVD technique, maximum likelihood detection, the minimum mean square error detection BER performance simulation code. There are code, simulation maps.)

实现图像中值滤波、均值滤波等图像处理功能(Median filtering of image processing functions such as image)

MATLAB程序，通过3维空间点插值，构建数字地图，可以根据调整点坐标自行构建数字地图。(MATLAB program, through three-dimensional space point interpolation to construct a digital map, you can adjust themselves to build a digital map based on coordinates.)

求解随机微分方程组的一个很典型的例子，有一定参考价值(A SDE EXAMPLE, OF VALUABLE )

使用双线性内插法 在matlab下实现图像的整数倍放大(use bilinear interpolation method in Matlab under several times for the entire image to enlarge)

地理坐标系转地磁坐标系，输出磁地方时等参量(Geographic coordinates turn geomagnetic coordinate system, the output magnetic local time and other parameters)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

The best book I have been seeing for Sound and using digital signal processing