Python

说明：  高频实验Multisim仿真：一、混频器（原理图、信号输入输出波形与频率）二、调幅波的解调（原理图及全载波调幅信号的解调）三、惰性失真及底部切削失真(Multisim simulation of high frequency experiment: 1. Mixer (schematic diagram, signal input and output waveform and frequency) 2. Demodulation of amplitude modulation wave (schematic diagram and demodulation of full-carrier amplitude modulation signal) 3. Inert distortion and bottom cutting distortion)

输液控制这是很好的资料如果你想学请不要错过(This is a very good solution to control the information requested if you want to learn not to be missed)

动态断裂教程，很经典，对理解动态断裂帮助很大，可以用abaqus实现(Dynamic fracture tutorial, very classic, a great help to understand the dynamic fracture, can use the implementation of abaqus)

量化交易策略，华尔街宽客撰写，可值得参考。(Quantitative trading strategy, Wall Street quants writing, may be worth considering.)

python软件下载，最新的python软件，好用，里面的内容协议都是最新的。(python software download, latest python software, easy to use, the contents of which are the latest agreement.)

说明：  C++ is considered by many to be among the most widely used and powerful object-oriented programming language in industry today. This book is for people who are interested in learning and exploring C++ programming in a fresh and enjoyable environment where programs are developed to interface with real world devices. Other people may leave learning C++ for a later time, instead choosing to interact with various hardware devices by simply running the fully developed programs supplied with this book.

EXT2[1].0中文教程，实例非常实用(EXT2 [1] .0 English tutorials, examples of very useful)

Vehicle Dynamics And Control

ssd1 exercise1 practial答案(ssd1 exercise1 practial answer)

hht1.介绍2.非平稳数据处理方法回顾（声谱图、小波分析、WVD、改进谱、经验正交函数展开、其他各类方法）3.瞬时频率4.固有模态函数5.经验模式分解方法：过滤方法6.完整性和正交性7.希尔伯特谱8.确认和校准希尔伯特谱9.应用（经典非线性系统大量的结论、试验中得到的观测数据）10.讨论11.结论(1. Introduction 2. Non-stationary data processing methods Review (spectrogram, wavelet analysis, WVD, improving the spectrum, empirical orthogonal function expansion, other types of methods) 3. Instantaneous frequency of 4. Intrinsic mode function 5. Empirical Mode Decomposition Methods: filtering methods 6. completeness and orthogonality 7. Hilbert spectrum of 8. to identify and calibrate Hilbert spectrum 9. Applications (classical nonlinear systems a lot of conclusions, the trial in the observational data) 10. discussion 11. Conclusions)