huffman

求系统单位给定阶跃响应的性能指标（超调量，峰值时间，调整时间 .....），其中， y，t表示系统节约相应的函数值与其对应时间,函数返回的是阶跃响应的第一(正向)波峰值b1、 阶跃响应的第二(正向)波峰值b2,阶跃响应的超调量sigma,阶跃响应的衰减比n,阶跃响应的衰减率pusi 阶跃响应的衰减震荡周期T,阶跃响应的振荡频率f.(Demand system units for a given step response performance (overshoot, peak time, adjust the time .....), which, y, t that the system saves the corresponding function value and its corresponding time, the function returns the order Jump to respond to the first (positive) wave peak b1, step response of the second (positive) wave peak b2, step response overshoot sigma, step response of the attenuation ratio of n, the step response of the attenuation rate pusi step response of the decay vibration cycle T, the step response of the oscillation frequency f.)

高等数学问题的MATLAB解法，里面包含：函数极限和导数、解析几何和多变量分析、数值积分和微分方程数值解、数列和级数、线性代数、概率论与数理统计 (MATLAB solution of the problem of higher mathematics, which includes: Limit and derivative functions, analytic geometry and multivariate analysis, numerical integration and differential equations, series and series, linear algebra, probability theory and mathematical statistics)

matlab code for pitch of speech signal

this is the minimal kernel for intel x86 architecture pc

matlabsimulink通信系统建模与仿真(Matlab/simulink communication system modeling and simulation)

遗传算法的matlab实现程序源代码，txt格式，不是m文件(genetic algorithm)

互信息尺度GEMI.m互信息尺度GEMI.m。函数(Mutual Information-scale mutual information GEMI.m scale GEMI.m. Function)

说明：  我毕设时的MSK编程，，MATLAB，，带有差分编码的，程序比较简洁易懂(I completed the set when the MSK program,, MATLAB,, with differential coding, the procedure is simple and easy to understand)

说明：  配电网规划必须满足辐射性和连通性，配电网扩展规划问题随机产生的初始群体中往往存在大量不可行解，采用根节点融合法可确保方案的可行性。(Distribution network planning must meet radiation and connectivity, distribution network expansion planning problem with randomly generated initial population there is often a large number of infeasible solutions, use of root fusion method to ensure feasibility.)

利用线性规划法编写的MATLAB程序，用于电力系统无功优化，用于学习交流(Prepared by using linear programming MATLAB program for power system reactive power optimization for the Learning Exchange)