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chapter
说明: 这个文件是为了模拟和预测各种各样的位移和压缩量。 (preditting the displacement)
- 2011-03-09 08:09:02下载
- 积分:1
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boshuxingcheng
换能器阵元的不同排列组合决定其指向性,波束形成是多波束测量的关键技术。文中
通过数学计算总结了不同换能器阵进行波束形成的工作原理,并介绍了利用二维DFT进行频
域波束形成的一般方法。最后结合现役多波束测深系统,简单解释说明不同系统所采用的波束
形成技术。(Transducer using an array of different permutations and combinations to determine its directivity, beam formation is the key technology for multi-beam measurements. Summarized by mathematical calculations the transducer array beamforming works, and describes the general method of two-dimensional DFT in the frequency domain beam formation. Finally, the active-duty multi-beam sounding system, the simple explanation of the different systems used in beamforming technology.)
- 2012-06-03 10:48:32下载
- 积分:1
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PSO
It is matlab code for optimizing the function.Hear we use particle swarm optimization technique for optimization.
- 2014-09-11 20:48:00下载
- 积分:1
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STR-1.3.Synchro
cours systeme temps reel synchronisation
- 2014-01-17 18:09:49下载
- 积分:1
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Hybrid2
Kalman滤波,对下落小球的跟踪,详细的程序说明
(Kalman filtering, on the whereabouts of the ball tracking, a detailed description of the procedures)
- 2007-11-14 10:33:26下载
- 积分:1
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SAS-exp
说明: 生存分析,学习总结资料和SAS实验.ppt(Survival analysis, study summarizes experimental data and SAS. Ppt)
- 2011-04-07 11:18:58下载
- 积分:1
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spaceresection
空间后方交会程序,已知地面点坐标及对应像点求相机位置和姿态。(
Space resection procedure, known ground point coordinates and the corresponding image point for camera position and posture.)
- 2013-12-04 00:14:09下载
- 积分:1
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q3
Signalprocessing from electromagnetic simulator
- 2013-05-18 01:07:45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
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plateloss
finite difference scheme for the thin plate equation with loss
- 2014-11-11 08:52:15下载
- 积分:1