isodata

It will take a DCT of Jpg image.

matlab中学习fir、iir滤波器的程序实例，很好的讲解了fir、iir滤波器的应用(matlab learn fir, iir filter process instances, well explained fir, iir filter applications)

条件分位自回归风险价值模型，动态分位性检验，消息冲击曲线，回归分位数方程的matlab代码和计算数据(CAViaR：Conditional Autoregressive Value at Risk by Regression Quantiles)

分析BPSK在对数长距离、对数正态阴影模型中的误码率，以及在ITU M多普勒效应下冲击响应与多径增益。程序为已提交作业，可直接运行。(In the analysis of several long-distance BPSK, lognormal shadow model error rate, as well as multi-path impulse response and gain at ITU M Doppler effect. Program has been submitted for the job can be run directly.)

14自由度的车辆模型的建模、仿真及其验证(Modeling, Simulation and Validation of 14 DOF Full Vehicle Model)

采用C语言编写的.c文件SVPWM算法仿真模块(SVPWM C)

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：  4096阶QAM调制解调 matlab仿真(matlab 4096 QAM modulation)

说明：  种子优化算法（SOA）matlab源程序，测试Rosenbrock等三个函数，结果很好，可以借鉴学习(Seed optimization algorithm (SOA) matlab source code, testing three functions, the results very good, can learn to learn)

均值漂移的实验环境，可实现边缘检测和影像分割。包含可执行文件和功能说明。(the tool can help designer realize the segmentation by using method of mean_shift.)