▍1. OptiGrating-Users-Reference-42
Optigrating 软件使用说明书与案例教程(guideline of optigrating software )
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▍2. Reactive-Power-and-Genetic-Algorithm
基于改进遗传算法的多目标无功优化，浙江大学(Improved Genetic Algorithm-based multi-objective Reactive Power Optimization)
▍3. Photoelectric-
光电技术与实验。主编：江月松。北京理工大学出版社。(Photoelectric technology and experiment. Editor: pine river month. Beijing institute of technology press. )
▍4. kdfilter
很好的点云滤波的文章，主要介绍了K-d树的滤波方法(Good point cloud filtering articles, Kd tree filtering method)
▍5. IQMath-datasheet
DSP28335 IQMath 中文手册：关于DSP IQmath的应用总结及使用方法，转自HELLOdsp 欢迎大家下载(IQMath Chinese Manual: Application of DSP IQmath summary and use, carried HELLOdsp)
▍6. GSOandqunti
几篇关于群搜索优化（Group Search Optimizer， GSO）算法在的高质量论文：包括群体智能搜索，改进群搜索以及快速群搜索算法。(3 articles on the Group Search Optimizer, GSO algorithm in high-quality papers include: swarm intelligence search, group search, and fast group improved search algorithm.)
▍7. 人工智能原理复习与考试指导_11172327
人工智能学习指导(artificial intelligence guiding)
▍9. CWT
小波变换文档汇总：二维小波变换在图像去噪处理中的应用、matlab小波工具箱及其应用、morlet小波变换理论与应用研究及软件实现、二维小波变换去噪的MATLAB可视化设计等(Wavelet transform document summary: two-dimensional wavelet transform in image denoising processing, matlab wavelet toolbox and its application, the application morlet wavelet transform theory and application research and software implementation, the 2 d wavelet transform denoising matlab visual design, etc )
▍10. RFC2507
基于PPP链路的IP/UDP/TCP报头压缩协议。(PPP link-based IP/UDP/TCP header compression protocol.)
▍11. Advanced-Engineering-Electromagnetics---Solutions
Solution Manual for Balanis Advanced Engineering Electromagnetics..DJVU document
▍13. STV0913
STMicroelectronics STV0913 satellite demodulator full datasheet.
▍14. Repetitive-control
本人学习重复控制时收集的大量相关学位论文，都很详细，对重复控制的掌握和实现很有参考价值。(There are a lot of thesis about the repititive control which are together by myself. they are useful for you to study and realize the repetitive control.)
▍15. HUAWEI_FPGA
华为内部资料，华为FPGA全套资料，包括华为的专利设计(Internal information Huawei Huawei FPGA complete information, including Huawei' s patented design)
▍16. Matlab-Optimization-tools
基于Matlab软件中的优化算法和优化工具，针对风力机翼型通用型线集成表达式建立了优化数学模型。以风力机翼型的最大升阻比为优化设计目标函数，翼型形状控制方程的系数为设计变量，翼型的厚度和弯度为约束条件，设 计得到了相对厚度为18％的风力机翼型，并对其性能进行了计算分析。研究结果拓宽了风力机叶片翼型的设计思路和设计方法。(Based the Matlab software optimization algorithm and optimization tools for the integrated expression of the general profile of the wind turbine airfoil optimization model. Wind turbine airfoil maximum lift-drag ratio for the optimal design objective function coefficients of the equation of the airfoil shape control as design variables, airfoil thickness and curvature constraints, the design has been the relative thickness of 18 of wind turbine airfoil , and its performance is calculated and analyzed. The findings broaden the wind turbine blade airfoil design ideas and design methods.)
▍17. Desktop
说明： In this paper, a new direction-of-arrival (DOA) estimation method based on multiple Toeplitz matrices reconstruction is proposed for coherent narrow band signals with a uniform linear array (ULA).(Even in the case of a low signal-to-noise ratio and low snapshot number with half the array aperture reduced, the new method provides good performance on estimation and resolution.)
▍18. QAM
重点研究了全数字QAM接收机中的两个关键技术——符号同步和信道盲均衡。研究Gardner定时误差检测算法，盲均衡方面，重点研究了CMA及其改进算法，采用MMA算法和DD-LMS算法联合均衡 (Focuses on the all-digital QAM receiver in the two key technologies- the symbol synchronization and channel blind equalization. Research Gardner timing error detection algorithm, blind equalization, the focus of the CMA and its improved algorithm, using the MMA algorithm and the DD-LMS algorithm for joint equalization)
▍19. Gaussian-Bare-Bones-Differential-Evolution
Gaussian Bare-Bones Differential Evolution Differential evolution (DE) is a well-known algorithm for global optimization over continuous search spaces. However, choosing the optimal control parameters is a challenging task because they are problem oriented. In order to minimize the effects of the control parameters, a Gaussian bare-bones DE (GBDE) and its modified version (MGBDE) are proposed which are almost parameter free. To verify the performance of our approaches, 30 benchmark functions and two real-world problems are utilized. Conducted experiments indicate that the MGBDE performs significantly better than, or at least comparable to, several state-of-the-art DE variants and some existing bare-bones algorithms.
▍20. Runge-Kutta
两个求解微分方程组 的龙格库塔法程序两个程序可用(Solving the two differential equations Runge-Kutta method can be used two procedures procedures)
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