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fsk
轨道FSK信号发送的小函数。这个函数虽然少,但却是在无数可行方案中选的最优,性能最佳的。在这基础上进行信号处理很不错的。(FSK signal sent from the track a small function. This function, though a small, but they are numerous options in the optimal choice, the best performance. In this based on the signal processing is very good.)
- 2009-05-15 21:11:36下载
- 积分:1
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yibushiliang
异步电动机矢量控制仿真源文件 效果好 能用(Induction motor vector control simulation source files effect can)
- 2013-04-23 01:23:39下载
- 积分:1
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Code
This another matlab code for PCA-LDA
- 2012-01-08 02:36:23下载
- 积分:1
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2upfc14bus
newton raphson using upfc
- 2014-02-11 15:06:46下载
- 积分:1
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MATLAB
这是汽车助力转向的的助力特性曲线三维图,是转向助力控制策略的map图(This is a three-dimensional map of the power assist curve of the car power steering, which is a map of the steering assist control strategy.)
- 2018-11-29 21:22:27下载
- 积分:1
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Introduction to Hybrid Beamforming
说明: 该示例介绍了混合波束成形的基本概念,并说明了如何模拟这种系统。(This example introduces the basic concept of hybrid beamforming and shows how to simulate this system.)
- 2020-11-02 10:13:11下载
- 积分:1
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fft
关于数字通信中DFT和FFT的仿真程序,真正有用(On DFT and FFT digital communication simulation program, really useful)
- 2010-12-09 13:21:38下载
- 积分:1
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gwj
夫琅和费衍射的matlab仿真,对此方面做了比较详尽阐述(Fraunhofer diffraction of matlab simulation, which has done more elaborate)
- 2010-05-17 07:50:52下载
- 积分:1
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file.vec
对QUARTUS进行功能仿真时,需要输入自定义或者matlab生成的信号,此文件就是仿真需要的向量文件(.vec),格式固定,可以仿照这个写,内含说明(Functional simulation of QUARTUS, you need to enter a custom or matlab generated signal, this file is required simulation vector file (. Vec), fixed format, you can follow this writing, contains instructions)
- 2010-11-25 08:13:32下载
- 积分:1
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ExtendedKalmanFilter
Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter.
Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )
- 2012-05-14 22:14:04下载
- 积分:1