pack_emd.tar

降低OFDM峰均功率比的硕士优秀论文，内容比较全面，值得参考(Reduced OFDM PAPR outstanding master s thesis, content more comprehensive, it is also useful)

EEG brain signal anlaysis codes. Extract event-related potential (ERP) compoents from brain signal. Estimate ERP waveforms, and the assoimated single-trial latencies and amplitudes. Estimate spectrum of on-going activities. Two algoithms, dVCA and AESO, are implemeneted. Could be useful for researchers and students in biomeical engineering.

说明：  对鲸鱼优化算法进行了注释，鲸鱼优化算法可以运行(The whale optimization algorithm is annotated, and it can run)

说明：  能实现无线传感器网络仿真中的算法要求的leach算法值得你拥有！！！！！！！！！！(leach algorithm)

说明：  rsa示例，实现了加密和解密的基本功能，供大家参考(rsa example, to achieve the basic functions of encryption and decryption, for your reference)

通信系统UDP 接收 简短的例子 可以用作测试 (Communication system UDP receive short routine)

Function to calculate the principal curvatures on a triangular mesh. Approximations of curvature are based on local (N=1) neighborhood elements and vertices. Note: Directions of curvatures aren t calculated appropriately. Will post an updated version once this is implemented. Note that calculations at vertices with few adjacent triangles, and hence few adjacent vertices, are expanded to a greater neighborhood. Reference: 1) Chen and Schmitt (1992) Intrinsic surface properties from surface triangulation 2) Dong et al. (2005) Curvature estimation on triangular mesh, JZUS This code makes use of routines: buildInverseTriangualtion.m & removeDO.m initially written by: David Gringas. He is gratefully acknowledged

用matlab实现的医学图像分割算法，（分割最佳阈值的迭代算法）代码， 可适合初学者使用，并有图。(Using matlab to achieve the medical image segmentation algorithm, (partition optimal threshold of iterative algorithm) code which may be suitable for beginners to use, and map.)

matlabsimulink通信系统建模与仿真实例分析（源代码模型）对通信学习非常有用！(matlabsimulink System Modeling and simulation analysis (source code model) is very useful for communication learning!)

基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数(Perturbation algorithm based on chaotic algorithms to solve the pso early-maturing issues, and to use a combination of both to train the gray prediction model parameters)