升降压斩波电路的Simulink

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)

5 m-files 1:SQ.m : converts from s-domain to q-domain 2:ZQ.m : converts from z-domain to q-domain 3:sym2s : converts from symbolic to s-domain tf2str : Converts from Transfer function to string sym2str : converts from symbolic to string

平稳随机信号（离散信号）的谱分析，周期图法以及Bartlett平均周期图法等方法及其之间的比较(Stationary random signal (discrete signal) spectral analysis, the average periodogram and the Bartlett periodogram method and other methods of comparison between)

说明：  基于Labview与Matlab混合编程的应用研究实例(Examples of applied research based on Labview and Matlab)

采用多维偏t分布来拟合样本数据的matlab代码(Matlab code for fitting data by a multivariate skewed t distribution.)

粒子图像分割及匹配均为自行编制的子例程，分数阶傅里叶变换计算方面,LDPC码的完整的编译码，加入重复控制，这是第二能量熵的matlab代码，双向PCS控制仿真。

The Code Coverage Tool (CCT) Matlab代码转化用于实时仿真的S函数。(The Code Coverage Tool (CCT) measures C statement coverage in code built as a Real-Time Workshop S-Function. It operates in conjunction with lcc (the C-Compiler that ships with the standard MATLAB installation).)

adaboost 弱分类器构成强分类器算法，并作图，分析样本数对性能的影响(constitute a weak classifier AdaBoost strong classifier algorithm, and mapping, analysis of sample size on the performance of)

龙贝格求积公式也称为逐次分半加速法。是数值计算方法之一，用以求解数值积分。是在梯形公式、辛普森公式和柯特斯公式之间关系的基础上，构造出一种加速计算积分的方法。 作为一种外推算法，在不增加计算量的前提下提高了误差的精度。

GPS/INS组合导航Matlab仿真程序(GPS/INS integrated navigation Matlab simulation program)