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matlab图像分割算法源码.图像反转.灰度线性变换.非线性变换.直方图均衡化 (matlab image segmentation algorithm source code)

说明：  多步最小二乘法程序，适用与利用MATLAB进行系统辨识计算(Multi-step least squares procedure, applied to system identification using MATLAB calculation)

在莱斯信道下调制方式为M-QAM的基本通信系统误码率计算公式和仿真(At Rice channel M-QAM modulation scheme is the basic communication system BER formulas and simulation)

太阳能阵列模型，以测试通过并与PSIM自带模型对比。(Solar array model)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、(Basic knowledge of signals and systems, including continuous signal with the model, discrete signals and model common signal transform including Z transform,)

compare hoffman shannon and fano coding

anti skid control system for front wheeled drive vehicle. using carsim and matlab simulink

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.)

Simulation of Chaotic Henon Map

说明：  关于微电网的多目标的调度优化，减少成本，提升效益，稳定电荷平衡(Optimal Dispatching of Microgrid)