资源列表
minFBNQ
- 斐波那契求极小值, 斐波那契求极小值,-to search the minimun position by means of FBNQ
xcorr
- 原信号s1为正弦信号，原信号s2为频率相同的另一正弦信号； 对s1、s2分别加噪声n1、n2得到信号x、y； 对加有噪声的x做自相关函数估计原信号； 对加有噪声的x、y做互相关函数估计原叠加信号。-The original signal s1 is a sinusoidal signal, the original signal s2 is another sinusoidal signal with the same frequency On s1, s2 were adde
FFT_example3
- 采样数据过少，运用FFT变换不能分辨出其中的频率成分。添加零后可增加频谱中的数据个数，谱的密度增高了，但仍不能分辨其中的频率成分，即谱的分辨率没有提高。只有数据点数足够多时才能分辨其中的频率成分。-Sampling data is too small, the use of FFT transform can not distinguish the frequency components. Adding zero can increase the number of data in the s
phasors
- It is used to convert complex numbers rectangular form to polar form.-It is used to convert complex numbers rectangular form to polar form.
d2r
- It converts angle in radians to degrees and vice versa. It also includes Kron reduction algorithm.
fenpei
- 此程序的功能是进行发电厂三台机组的负荷优化分配-The function of this program is to optimize the distribution of the three units of the power plant
finalrobustbackwardforward
- requirement of PSO technique program for optimal sizing of distributed generation
Afpro
- 使用matlab编写了可以计算Air或者Air和(CH2)n的燃烧产物在160~2200K之间的热物性参数，包括h,Cp,R,k,Pr-It can be calculated using the matlab prepared Air Air and combustion products, or (CH2) n ~ 160 in thermal properties between 2200K, comprising h, Cp, R, k, Pr
hui_se_yu_ce_
- 数学建模常见方法之一的灰色预测算法代码，亲测可用-One common method of mathematical modeling gray prediction algorithm code, pro-test available
NW
- 利用MATLAB来进行复杂网络之中NW小世界网络的仿真，利用MATLAB来进行复杂网络之中NW小世界的仿真-Using MATLAB to carry out simulation of BA scale-free network in complex network, using MATLAB to carry out simulation of BA scale-free network in complex network
K_means
- K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。-k-means algorithm
main
- 通过贝塞尔函数求出方程零点，解决不连续等小电容的求解问题，可以加深对贝塞尔函数的理解以及对m语言的认识-Through the Bessel function to find the zero point of the equation, to solve the problem of solving small capacitors such as discontinuities, we can deepen the understanding of the Bessel function a