matlab

maxnet by mtlab this code for impleemnet of maxnet in matlab maxnet is the nueral networ

开环充电机仿真图，看了这图你就会做充电机了(Open-loop simulation diagram charger, read this plan you will do a charger)

潮流计算牛拉法和PQ分解法有详细解析，电力系统的基本潮流都有解析，纯手工(Flow Calculation cattle Rafah and PQ decomposition method has a detailed analysis)

ai prolog examples ai prolog examples ai prolog examples ai prolog examples ai prolog examples (ai prolog examples)

结构动态特征灵敏度分析-特征向量灵敏度。(Dynamic Sensitivity Analysis feature- eigenvector sensitivity.)

matlab编写的元胞自动机，sar图像去噪的几种新的方法，多目标跟踪的粒子滤波器。( matlab prepared cellular automata, Several new methods sar image denoising, Multi-target tracking particle filter.)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

利用MATLAB程序逐个统计图像的边界点，并存入矩阵(MATLAB program using statistical image boundary points one by one, and deposited matrix)

通信仿真中的混沌数字键控Matlab分析程序，包括时域和频域(Chaos digital key analytical procedures)

三维地质雷达正演模拟,可以对二进制数据读取，利于学习(3D GPR simulation)