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catalyst
some usefule id l programes for new learners
- 2009-12-03 04:14:27下载
- 积分：1
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DPD_sim
Digital Predistortion of Nonlieaner RF Power Amplifier with Memory Effects.
This M code simulates a DPD technique linearization for a AB-class nonlinear HPA with memory effects. Here we consider a memory polynomial predistorter to modeling nonlinearity characteristics and memory effects of a HPA.Simulation procedures divided into three separate parts:
1)Analog imperfection compensation for the direct upconversion transmitter
2)Design a DPD based on a memory polynomial predistorter
3)Performance evaluation via a number of parameters such as:EVM,PSD,SNR,
- 2011-05-19 20:03:25下载
- 积分：1
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PCM
pulse code modulation using u-Law
- 2013-12-04 19:45:33下载
- 积分：1
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shili96
制作运用最速下降法解线性方程组的用户界面(Making use of the steepest descent method solving linear equations of the user interface
)
- 2011-06-28 10:30:06下载
- 积分：1
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eigenssrwithtcsc
The eff ect of thyristor-controlled series capacitors (TCSC) on bifurcations of subsynchronous resonance (SSR) in power system
- 2012-07-21 14:44:20下载
- 积分：1
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zvs
converter is suppressed according to CISPR 22 standard limits. The fundamental frequency component with higher order harmonics of 2 MHz resonant converter after the application of filter is at 33.18 dBµ V. The designed filter has attenuated the common mode conducted noise by 140 dBµ V.
- 2013-09-13 00:55:31下载
- 积分：1
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AFandDFsMATLAB-simulation
介绍了协作通信有关AF和DF的知识，并附有MATLAB程序(About AF and DF cooperative communication knowledge with MATLAB program)
- 2012-09-28 13:42:02下载
- 积分：1
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optimal-control
在matlab编程环境下来求最优控制问题中的非线性方程问题(to solve the unline funcation in matlab about the optimal control)
- 2014-03-26 19:29:02下载
- 积分：1
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PR_SimpleClusteringP26
孙即祥：《现代模式识别》P.26：根据相似性阈值和最小距离原则的简单聚类方法MATLAB（另一种方法实现同一种算法）(SUN Xiang: " Modern pattern recognition" P.26: According to the similarity threshold and minimum distance principle of a simple clustering method MATLAB (another way to achieve the same kind of algorithm))
- 2010-01-11 10:07:01下载
- 积分：1
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kernel_pca
Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
- 2011-01-23 02:48:33下载
- 积分：1
