srchybrid45b_VeryCD

生成了符合泊松分布的随机变量，包涵了matlab源代码和C++源代码 利用C++生成，利用matlab画图(generate the poisson varibles )

MATLAB SIMULINK 改进型SIMITH预估控制器(MATLAB SIMULINK improved SIMITH forecast controller)

differtial implicit function

说明：  用vc来实现遗传算法，不是matlab哦(vc used genetic algorithms to achieve, not Matlab oh)

声音的频谱分析 读取文件，分析频谱，画图(Read the file of the sound spectrum analysis, analysis of the spectrum, drawing)

说明：  MATLAB课件，可以帮助快速学习MATLAB，介绍详细，有举例详解(MATLAB software can help fast learning MATLAB, introduced in detail, and explain, for example)

小波变换进行图像压缩 采用matlab编程 (Wavelet transform for image compression Using matlab programming)

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.)

说明：  一组图象与视频处理C/C++代码,该软件包可用于Matlab。包括读取AVI和CIF/QCIF视频序列代码，Canny算子，Harris角点检测，全局阈值算法，动态阈值算法等等。(AP as a video processing with C/C code, the software can be used in Matlab. AVI including reading and CIF/QCIF video sequence code, Canny operator, Harris corner detection, and overall value threshold algorithm, dynamic threshold algorithm and so on.)

windows 程序设计 第五版 文字版，程序员经典丛书(Text version of the fifth edition of windows programming, programmers Classic Series)