RegressionAnalysis

MATLAB在遗传模糊控制系统仿真中的应用(MATLAB in the genetic fuzzy control system simulation)

说明：  这是一个MATLAB写的一个解决TSP问题的蚁群算法程序。(This is a MATLAB to write a solution to the problem of ant colony algorithm TSP procedures.)

matlab教程，有关电路分析的运用，很好的一本书，希望对你有所帮助(matlab tutorial, use the circuit analysis, a good book, I hope for your help)

光伏电池建模与MPPT算法和DCDC电路建模，能实现MPP的锁定(Modeling of photovoltaic cells, MPPT algorithm and DCDC circuit can achieve MPP locking.)

linear SRC for sample rate conversion

This is the solution manual of satellite communications by Timothy pratt and jereme allnutt

matlab2008下实现，序列联配算法，比较两序列的相似性(matlab2008 achieve, sequence alignment algorithms to compare the similarity of two sequences)

极坐标系下电力系统潮流计算Matlab版源程序(Matlab version of the source of power flow calculation in polar coordinates)

Matlab Programming Fundamentals

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.)