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TeeChart_Pro_v7_0_VCL_CLX_for_Delphi_BCB_Kylix_Ful
complete source code for teechart 7
- 2007-07-25 14:06:48下载
- 积分：1
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ex4
说明： 建立主成分分析和因子分析界面，对给定的随机数据进行主成分分析和因子分析(Establishment of principal component analysis and factor analysis interface for a given random data principal component analysis and factor analysis)
- 2011-03-23 13:50:43下载
- 积分：1
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PF_codes
说明： 本程序实现了粒子滤波基本算法。matlab代码。(failed to translate)
- 2011-03-25 20:35:38下载
- 积分：1
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BSpline
自己写的matlab里面的，B样条基函数的简单程序，用的是卷积的方法(bspline basic functions,you can use it to conquer some ans)
- 2012-05-16 17:09:28下载
- 积分：1
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TrafficFlow
数值模拟交通流模型Payne-weber压缩流体，可以看到许多交通现象 (numerical simulation model of traffic flow Payne-Weber's law compressed fluid, we can see that many transport phenomena)
- 2007-06-01 22:47:55下载
- 积分：1
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boost_switching
boost switching converter allow the transformation of DC energy to choped energy
- 2010-07-20 19:32:04下载
- 积分：1
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fe
说明： 频偏校正估频算法的实现，Matlab函数。(Estimated frequency offset correction algorithm, Matlab function.)
- 2009-05-06 19:55:42下载
- 积分：1
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802.16channel-design-and-realize
國 立 清 華 大 學 碩 士 論 文 符合802.16 標準之通道模擬器之研製(Chapter 1 Introduction
Chapter 2 Introduction of microscope effects
Chapter 3 Introduction of macroscope and system effects .21
Chapter 4 Channel model simulation
Chapter 5 Works before implementing the hardware
Chapter 6 Hardware implementation
Chapter 7 Conclusions and future directions
)
- 2014-11-05 14:40:26下载
- 积分：1
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induct-heating_half-bridge
这是一个半桥谐振的感应加热电源，里面有simulink文件和用于寻找谐振点和最大功率输出的matlab文件(This is a half-bridge resonant induction heating power supply, which has simulink file and is used to find the resonance point and the maximum power output of the matlab file)
- 2021-04-06 21:09:02下载
- 积分：1
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RBF_NN_MIC
径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)
- 2020-06-15 22:40:02下载
- 积分：1
