资源列表
xiao
- 初始化粗粒度序列,为计算脑电信号非线性参数——复杂度的Matlab程序-Initialization sequence of coarse-grained, for the calculation of the nonlinear parameters of the EEG- the complexity of the Matlab program
queue
- matlab环境下模拟单服务台排队，通过程序设置到到银行排队办业务的人的人数及时间间隔，计算平均每个人需要等待的时间。-set the number of the queue，and the time between each comer ,it will calculate the average waiting time of each person
flick
- 电网电能质量中的电压波动和闪变仿真波形；电网电能质量中的电压波动和闪变仿真波形-Power quality voltage fluctuations and flicker simulation waveforms
genetic-algorithm
- MATLB7.0遗传算法工具箱压缩文件，包括遗传算法函数，实例-MATLB7.0 genetic algorithm toolbox compressed file, including the genetic algorithm function instance
Space-time-clutter-model
- 空时自适应处理杂波建模的文章。分析非常详细，具有参考价值。-The space-time adaptive processing clutter modeling article. Very detailed analysis, has reference value.
pso_featsel2
- 这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。-this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration
qpso_featsel2
- 这是一个基于量子行为的粒子群算法（QPSO）用于特征选择的matlab程序，用户可以选择目标函数优化方向、种群大小，也可以在内部修改QPSO的参数beta-this is a feature selection program based on quantum_behaved particle swarm optimization of matlab ,the user can chose the object function optimization direction,the scale
IEEE802.15.4-A-channel-model-Matlab
- IEEE802.15.4信道的Matlab仿真。主要描述其在各种信道环境，比如各种噪声和各种干扰存在的情况下，各种性能的仿真。-Matlab simulation of the IEEE802.15.4 channel. Describes the environment in a variety of channels, such as the presence of noise and all kinds of interference, the various properties of
3
- 利用matlab实现彩色图像的分割。算法主要是利用聚类算法-Use of matlab color image segmentation. Algorithm is the main clustering algorithm
Rayleigh-channel
- rayleigh信道 jakes模型瑞利信道 无线信道 无线信道的matlab仿真-rayleigh channel jakes model rayleigh channel matlab simulation of wireless channel
9631203
- ARIAX matlab实现，对时间序列进行预测分析,模型的参数估计-ARIMA matlab realize, prediction of time series analysis
case39
- IEEE39节点电力系统标准参数和潮流数据-IEEE39 node power system standard parameters and trend data