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Lin_Maoyong-Radar_Signal_Processing
雷达信号理论(林茂庸著) (Radar signal processing by Maoyong Lin)
- 2010-12-05 21:15:10下载
- 积分:1
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P020160325531348615122
顶级知名公司内部的培训资料,很好的资料培训资料,很好的资料(top company material .....................)
- 2016-12-21 19:06:00下载
- 积分:1
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Making Games with Python & Pygame
How to use python to make games
- 2019-02-25 18:18:30下载
- 积分:1
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Python网络数据采集
python网络数据采集 高清pdf 特别推荐这本书,通俗易懂,作者讲的非常详细(Python Network Data Acquisition high-definition pdf)
- 2019-03-10 19:56:25下载
- 积分:1
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Modern-Communications-Jamming
该书是一本通信对抗专业的实用参考书。系统地介绍了现代抗干扰通信技术(主要是直接序列扩谱和跳频扩谱)和抗干扰通信的检测技术,讨论了每一种基本抗干扰信号类型的干扰技术,包括干扰直接序列扩谱信号、干扰快跳频扩谱信号、干扰慢跳频扩谱信号和干扰直接序列扩谱/跳频扩谱混合信号。该书的读者对象是电子战和通信对抗领域的工程师和科技工作者,也可供通信领域的科技工作者参考。(Content HighlightsAnti-Jam Communications and Electronic Countermeasures. Radio Frequency Propagation. Signaling for AJ Communications. Jamming Techniques. Anti-Jam Signal Detection. Jamming Direct Sequence Spread Spectrum Systems. Jamming Fast Frequency Hopping Systems. Jamming Slow Frequency Hopping Systems. Jamming Hybrid Spread Spectrum Systems.)
- 2017-02-27 19:59:50下载
- 积分:1
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PMSM_yousudu
为了在现代异步电机高性能调速系统中实现磁链的准确观测,提出了一种基于模型参考方法的自适应转子磁链观测器。PMSM(Primary system file for the Real Implementation of Sensored Field Orientation Control for Three Phase Permanent-Magnet Synchronous Motor (PMSM) )
- 2021-04-03 14:39:05下载
- 积分:1
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Tcl编程教程
说明: 本书为Tcl编程教程,为opensees编程提供基础。(This book is about tcl programming)
- 2019-10-25 13:21:41下载
- 积分:1
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PELCO_VIEW
关于pelco协议的具体介绍,包括pelco_D和pelco_P,列表形式很直观、易懂。(Pelco agreement on specific presentations, including pelco_D and pelco_P, in tabular form is very intuitive, easy to understand.)
- 2010-02-05 15:36:22下载
- 积分:1
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Interference_Analysis_and_Reduction_for_Wireless_
Interference Analysis and Reduction for Wireless Systems.pdf
- 2010-01-17 19:40:21下载
- 积分:1
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Ballot
This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
- 2010-05-10 01:15:05下载
- 积分:1