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matlab模拟退火算法工具箱,最新版本的matlab工具箱(simulated annealing algorithm matlab toolbox, the latest version of matlab toolbox)

有关于数字信号处理的水印技术，成功运行，除水印效果很明显(Digital signal processing on the watermarking technology, successful operation, in addition to obvious watermark)

matlab离散系统仿真程序电子系课程设计(Department of Electronics, curriculum design of Matlab discrete system simulation program)

MVDR波束形成算法，及其波数域实现。并分别给出了常规方法和基于对角加载方法的实现，是入手波束形成的参考程序。(MVDR beamforming algorithm, and the wave number domain to achieve. And were given the conventional methods and methods based on diagonal loading to achieve, is to start the formation of the reference beam program.)

最大似然检测的相关程序，用于单用户MIMO，初学编程(Maximum likelihood detection procedures for single-user MIMO, novice programming)

MATLAB潮流程序（IEEE14 直角坐标 牛拉法）MATLAB潮流程序（IEEE14 直角坐标 牛拉法）(MATLAB trend (IEEE14 rectangular coordinates Cattle rafa)MATLAB trend (IEEE14 rectangular coordinates Cattle rafa))

this program is hep full o analyse the multilevel inverter

this is the simulation of the relaying technique in all the channels using the amplify and forward and decode and forward protocols. it is also in the channels such as AWGN and also in the raileigh channels.the file also consists of the output graphs of all the simulations which are present in it.

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

Implementation of fourier transformation in Matlab/Simulink