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Analysis-of--wire-antennas
首先扼要地阐述矩量法分析天线的一般概念和基本思想，然后分别采用几种不同的积
分方程对线天线进行矩量法分析，并与解析计算结果进行比较，两者的一致性说明了计算结果的正确性。(First, a brief moment method analysis of antennas described the general concepts and basic ideas, and then were used for several different line of antenna integral equation moment method analysis, and results were compared with the analytical calculation, the consistency between the description of the calculation accuracy of the results.)
- 2011-04-24 16:49:06下载
- 积分：1
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EKF-PF
此程序比较了卡尔曼滤波和粒子滤波的优缺点
(This program compares the advantages and disadvantages of Kalman filter and particle filter)
- 2014-11-13 21:49:35下载
- 积分：1
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LDPC
ldpc码matlab实现，恩，应该很好吧(ldpc matlab)
- 2013-12-09 16:15:15下载
- 积分：1
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CSGIv1.1
基于压缩感知的关联成像程序，计算鬼成像，过完备稀疏表示(Based on compressed sensing imaging procedures associated with calculating ghost imaging, over-complete sparse representation)
- 2014-07-04 15:27:25下载
- 积分：1
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vibration1
说明： 对周期激振力作用下的单自由度无阻尼系统，将激励展开成傅里叶级数，观察其对方波函数的逼近情况，并计算系统的受迫振动。(For the single degree of freedom undamped system under the action of the periodic excitation force, the excitation is expanded into Fourier series, and the approximation of Fang Bo's function is observed and the forced vibration of the system is calculated.)
- 2018-06-09 20:53:38下载
- 积分：1
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neural_network_forecast
neural network prediction
- 2014-11-13 16:15:54下载
- 积分：1
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FINAL_PI_TUNNING
PI tuning for DVR control
- 2009-03-09 09:27:23下载
- 积分：1
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rs1
完整的RS编译码仿真程序，基于matlab仿真实现(integrity of the RS encryption simulation program, based on Matlab Simulation)
- 2007-05-13 13:00:36下载
- 积分：1
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matlab-bootstrap
Bootstrap(自举法)的Matlab程序 (Bootstrap program)
- 2013-07-15 11:47:53下载
- 积分：1
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SignCorrectionInSVDandPCA
虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )
- 2010-07-01 09:49:23下载
- 积分：1
