资源列表
jianji
- 剪辑近邻法当不同类别的样本在分布上有交迭部分的，分类的错误率主要来自处于交迭 区的样本。当我们得到一个作为识别用的参考样本集时，由于不同类别交迭区域 中不同类别的样本彼此穿插，导致用近邻法分类出错。因此如果能将不同类别交 界处的样本以适当方式筛选，可以实现既减少样本数又提高正确识别率的双重目 的。为此可以利用现有样本集对其自身进行剪辑。 -Clips neighbor method when samples of different types of distribution
xitongjianmo
- 这个matalb程序是系统仿真与建模的两份实验程序，主要以simulink仿真为主。-This matalb program is a system simulation and modeling two experimental procedures, mainly in simulink simulation based.
CAmodel
- 晶粒CA模型，可能有一点不正确，大家一起交流学习-CA model
Macromodeling of Multiport Systems Using a Fast Implementation of the Vector Fitting Method
- Broadband macromodeling of large multiport systems by vector fitting can be time consuming and resource de- manding when all elements of the system matrix share a common set of poles. This letter presents a robust approach which removes the sparsity o
m sequence generator
- this is a function to simulate the generation of m sequence in spread spectrum communication
calculate BER and Q-factor
- calculate BER and Q-factor
ACA
- matlab实现的蚁群算法（ACA）例程，解决TSP旅行商问题，可以在图中进行动态显示-ant colony algorithm matlab realized (ACA) routines to solve the traveling salesman problem TSP, can be dynamically shown in the figure
evoluteStrategy
- matlab实现的进化策略evoluteStrategy例程，解决多项式的最优解问题-matlab achieve evoluteStrategy routine, the optimal solution to solve polynomial
GeneticAlgorithm
- 遗传算法GeneticAlgorithm，用matlab实现，解决二项式的最优解问题-GeneticAlgorithm, using matlab realize, to solve the question of the optimal solution of binomial
MetaEvolutionProgramming
- MetaEvolutionProgramming，进化规划例程，采用五分之一竞争法则，而不是进化策略的Q竞争法则，用来解决二项式的最优解问题-Evolutionary programming routines, using fifth competition rules,to solve the optimal solution binomial， rather than evolutionary strategy using Q competition law,
ber
- calculate BER and Q-factor
qam
- The Simulink model is a graphical representation of a ... system that generates a random signal, modulates it using QAM