regiongrow

计算在N维空间中，两条线之间的最短距离，N可以是3或者3以上的任何数值(Calculated in N-dimensional space, the shortest distance between two lines, N could be any of 3 or more values 3)

说明：  二层介质大地电磁响应，MATLAB编程，模拟二层介质的大地电磁响应曲线(Two-story media magnetotelluric response, MATLAB programming, analog two-story media magnetotelluric response curve)

说明：  一篇关于MIMO的文章，文中附有仿真所用的源代码(An article on the MIMO, the paper with the source code used in simulation)

iis is a code for sinosoidal pulsewidth modulation

利用matlab写成的窄带噪声发生，本科毕设要求参见标准测试模型，信号维数的估计。( Using matlab written narrowband noise occurs, Undergraduate complete set requirements refer to the standard test models, Signal dimension estimates.)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

使用Matlab语言编写的俄罗斯方块游戏，参考学习借鉴。(Using the Matlab language of the Tetris game, reference and learn from.)

详细介绍了格行滤波器的性能和仿真实现过程。(Detailed cell line filter performance and Simulation.)

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)

用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法（MCEM）的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))