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华为演讲培训教程，是个不错的培训教材。欢迎大家学习。(Huawei speech training course, be a good training materials. Welcomed the U.S. study.)

python核心编程，本书详细介绍了python编程的语法结构，并有大量的例子作为参考。(python core programming, the book details the python programming grammatical structure, and there are plenty of examples as a reference.)

北大群论讲义，作为老师讲的讲义，还算通俗易懂。(North group theory lectures, as teacher handouts, fairly easy to understand.)

In many areas of commerce, government, academia, and hospitals, large collections of digital images are being created. Many of these collections are the product of digitizing existing collections of analogue photographs, diagrams, drawings, paintings, and prints. Usually, the only way of searching these collections was by keyword indexing, or simply by browsing. Digital images databases however, open the way to content-based searching. In this paper we survey some technical aspects of current content-based image retrieval systems.

很好的spss教程 轻松使用spss 方差分析 因子分析 回归分析(failed to translate)

FPGA课件，个人感觉不错，希望对大家有帮助(FPGA software, personal feel good, I hope all of you help)

f16的非线性模型设计，也许对你有用。MATLAB的，里面有配套说明(Nonlinear_F16_Fighter_Model)

说明：  《The Little SAS Book 中文版》以大量实例、清晰简明的解释以及尽可能少的术语来介绍SAS语言，且大部分的功能均来自Base SAS。Base SAS包含了所有程序员所使用的核心功能。(The Little SAS Book Chinese Edition introduces SAS language with a large number of examples, clear and concise explanations and as few terms as possible, and most of its functions come from Base SAS. Base SAS contains the core functions used by all programmers.)

说明：  python工具书查询,之前看到的，资料还不错，可以参考学习下(Reference books for python)

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)