design and implementation of feedforward neural network with BP training algorit...

It s a code in MatLab for movement analysis: EMG, posture and Functional Reach

现代谱估计,用总体最小二乘法观测数据的ARMA模型的AR参数，并与一般最小二乘法进行比较。(Modern spectral estimation, total least squares method observational data of AR parameters of the ARMA model and compared with the general method of least squares.)

Itti算法和他的文章。Itti提出的显著图模型是一种模拟生物体视觉注意机制的选择性注意模型,比较适合处理自然图像。(Itti algorithms and his article. Itti saliency map model proposed is a simulation of selective attention model organism visual attention mechanism, more suitable for processing natural images.)

FLICM图像分割,使用matlab与C混编,处理图像分割问题。有详细的使用说明，但首先还是要学会配置matlab与C之间的调用问题。

TurboMatlabSimulation_3GPP_Std，基于mac层仿真，详尽的turbo编解码程序(TurboMatlabSimulation_3GPP_Std, based mac layer simulation, detailed turbo codec)

包含有粒子群和遗传算法寻优的代码,是非常好的支持向量机代码(libsvm and Ga and pso)

power_voltmeasure.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_voltmeasure.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

ofdma的一个简单的收发程序采用QPSK调制噪声是高斯白噪声(A simple transceiver of ofdma program using QPSK modulation noise is gaussian white noise)

说明：  摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

说明：  种子点相关的代码分析，主要是提取了楔前叶的的数据，最后将该部位和整个大脑都做了依次相关分析，将最相关区域取出来。(The code analysis related to the seed point mainly extracts the data of the anterior wedge, and finally analyzes the part and the whole brain in turn, and takes out the most relevant area.)