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AWK
Awk 是一种非常好的语言，同时有一个非常奇怪的名称。在本系列（共三篇文章）的第一篇文章中，Daniel Robbins 将使您迅速掌握 awk 编程技巧。随着本系列的进展，将讨论更高级的主题，最后将演示一个真正的高级 awk 演示程序。
捍卫 awk
(Awk is a very good language, at the same time have a very strange name. In this series (a total of three articles) in the first article, Daniel Robbins will quickly grasp your awk programming skills. With the progress of this series will discuss more advanced subject, and finally will demonstrate a real demonstration of advanced awk program. Defend awk)
- 2009-03-03 19:08:55下载
- 积分：1
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封闭模型带低压
说明： 通过ansys进行封闭的变压器结构的建模，进而分析变压器的低压侧绕组电压。电流和阻抗的关系(Model the closed transformer structure through ansys, and then analyze the low-voltage side winding voltage of the transformer. Relation between current and impedance)
- 2020-05-15 10:55:49下载
- 积分：1
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Parks_McClellan_algorithms_for_FIR
详细介绍了利用Parks-McClellan算法设计FIR滤波器(Described in detail using Parks-McClellan algorithm for FIR filter design)
- 2021-02-06 17:19:56下载
- 积分：1
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ClassicShellScripting
OReilly电子书Classic Shell Scripting(OReilly book Classic Shell Scripting)
- 2009-07-12 15:53:12下载
- 积分：1
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Guide to FORTRAN 2008 Programming
说明： Guide to FORTRAN 2008 Programming
- 2020-06-22 03:40:02下载
- 积分：1
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a_visual_guide_to_stata_graphics
说明： STATA软件强大的绘图功能，帮助你轻松学习，从此不再烦恼。(STATA software, powerful graphics capabilities, to help you easily learn, never again worry.)
- 2010-04-03 10:06:42下载
- 积分：1
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Making Games with Python & Pygame
说明： How to use python to make games
- 2019-02-25 18:18:30下载
- 积分：1
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LPC2114_2124-02_cn
飞利浦LPC2114中文手册，是学习ARM的好资料。(Philips LPC2114 English manual, is to learn good information on ARM.)
- 2008-08-01 17:30:28下载
- 积分：1
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0 相控阵的书籍
说明： 这是有关相控阵的书籍，介绍很全面而且翔实，有关超声发射和聚焦方法介绍等(This is a book about phased arrays, the introduction is very comprehensive and informative, about the introduction of ultrasound transmission and focusing methods, etc.)
- 2021-01-20 15:43:43下载
- 积分：1
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The-empirical-mode-decomposition
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)
- 2009-12-29 16:00:55下载
- 积分：1
