CCFdemo

数据的统计描述与分析的matlab实现与分析(Statistical description and analysis matlab realize and Analysis)

structural similarity index

通过一系列教学实例，帮助学生很好的理解matlab中的符号运算实现微分、积分（定积分与不定积分）、极限、级数、绘图等常用功能，几乎可以推导高数中的绝大部分公式，也可用于理论公式推导。(Through a series of teaching examples to help students a good understanding of symbolic computation matlab achieve differentiation, integration (with the definite integral indefinite integral), ultimate, series, graphics and other commonly used functions can be derived almost most of the high number of formulas can also be used to derive theoretical formulas.)

用于测试优化算法好坏的测试函数,包括多峰测试函数和单峰测试函数若干！(Optimization algorithms for testing the quality of test functions)

是数学竞赛的往年考题！！希望对大家有用！！(Mathematics exam in previous years the competition! ! Hope it useful! !)

mallet wavelet小波消噪 小波3层分解并重构。(mallet Wavelet Denoising)

matlab SERIAL COMMUNICATION WITH ARDUINO

三相逆变桥式电路的matlab仿真电路图，主电路图，仿真模型(Matlab simulation circuit of the three-phase inverter bridge circuit, the main circuit simulation model)

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.)

本程序为基于粒子群的IEEE 118 节点的电力系统优化调度程序(distributed generation voltage control environmental benefits active/reactive power integrated optimization particle swarm algorithm)