MATLAB_based_parameter_identification_and_simulati

激光雷达资料，包含星载激光多普勒测风雷达发展研究、星载激光雷达的发展与应用、激光雷达原理(Lidar data, including the development of laser Doppler wind radar spaceborne laser Doppler wind radar research,principle of lidar )

一种压缩感知重构算法ROMP 需要已知稀疏度(A compressed sensing reconstruction algorithm ROMP needs known sparsity)

In power engineering, the power flow study (also known as load-flow study) is an important tool involving numerical analysis applied to a power system.

good for power analysis

Water and steam properties according to IAPWS IF-97

基于MATLAB实现指纹特征提取 改进的指纹图像分割算法 论文(matlab zhiwentezhengtiqu zhiwenfengesuanfa)

基于动态规划的机载脉冲多普勒雷达算法，动态规划的源程序(Based on dynamic programming airborne pulse Doppler radar algorithms, dynamic programming source code)

基于MFCC参数和DTW算法的语音识别算法，对0-9这十个数字的中文发音进行识别。该程序对特定的三个人的声音做训练，并用来识别这三个人之外的30个人的发音，即特定人的集合外的识别，程序中已有语料。(The MFCC parameter and DTW algorithm-based speech recognition algorithm, the 0-9 ten digits Chinese pronunciation recognition. Do training of the program on the specific person' s voice and is used to identify these three individuals outside of the 30 individual pronunciation, i.e. the identification of the collection of a specific person, the program already corpus.)

著名教授yair weiss的图像去噪程序。非常有有名。(this is from professor Yair about the image denoising algorithm he developped.)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)