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qam16_TWTA
QAM16在非线性功放模型TWTA的仿真，对需要认识功放特性的同学有帮助。(TWTA nonlinear amplifier model QAM16 the simulation, students need to realize that help power amplifier characteristics.)
- 2011-02-11 10:20:57下载
- 积分：1
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fuzzyopt
the fuzzy control to solve the main problem about how to handle the systems
- 2013-10-21 18:17:48下载
- 积分：1
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equalizer
its help ful for learning adaptive filter
I hope that you have good learning adaptive filter
- 2014-01-21 02:07:29下载
- 积分：1
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code_uncode
基与matalab的编码程序
已经调试通过(coding)
- 2009-04-07 14:59:33下载
- 积分：1
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TVAL3_v1.0
说明： 最新的基于压缩感知的TV重构算法，该算法重构图像质量很不错，并且速度很快(TV Minimization by Augmented Lagrangian
and Alternating Direction Algorithms)
- 2020-12-08 15:09:21下载
- 积分：1
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在mtlab环境下进行电离层计算
一个基于matlab的gps电离层数据计算程序，可以在mtlab环境下进行电离层计算(a little program for mathematic of gps)
- 2020-09-15 23:47:56下载
- 积分：1
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adkbhhih
快速扩展随机生成树算法，LCMV优化设计阵列处理信号，大学数值分析算法，Relief计算分类权重，DC-DC部分采用定功率单环控制。(Rapid expansion of random spanning tree algorithm, LCMV optimization design array signal processing, University of numerical analysis algorithms, Relief computing classification weight, DC-DC power single-part set-loop control.)
- 2016-03-24 21:11:26下载
- 积分：1
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chengxu
基于MATLAB的遗传算法实现，或许对你有所帮助，(Genetic Algorithm Based on MATLAB implementation, may be helpful to you,)
- 2009-03-18 14:18:50下载
- 积分：1
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UIC513
uic513标准的matlab算法。振动，分垂横纵3个方向，输入，经matlab算法得出振动舒适度的指标(uic513 matlab)
- 2012-05-12 15:29:02下载
- 积分：1
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rjMCMCsa
可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection
This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)
- 2013-03-11 22:29:52下载
- 积分：1
