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singleTR_mimo
探测信号为单个信号的被动时反通信MATLAB仿真，可以直接把探测信号扩展成LFM。(Passive detection signal when a single signal for the anti-communications MATLAB simulation, can be directly extended to detect signals into LFM.)
- 2014-01-06 16:47:57下载
- 积分：1
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HHT
说明： 希尔伯特黄变换，经验模态分解，边际谱，超级全代码，可以出图可以自由更换信号(Hilbert Huang transform, empirical mode decomposition, marginal spectrum, super full code, mapping and free signal replacement)
- 2020-05-10 21:43:57下载
- 积分：1
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aerial-radiation-pattern
MATLAB在天线方向图中的应用与研究，可以对FDTD算法参考指导使用(MATLAB in the antenna pattern in the application and research, you can use reference guide on the FDTD algorithm
)
- 2011-07-18 10:56:15下载
- 积分：1
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ada_Boost
卡尔曼滤波算法程序 和集成学习算法程序。(Kalman filter algorithm program)
- 2018-02-02 11:13:22下载
- 积分：1
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Classification_toolbox
模式识别工具箱 包含大部分duda的《pattern classification》的习题程序(pattern recognition toolbox)
- 2010-09-29 11:57:15下载
- 积分：1
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goplotpso
改进全局粒子群算法,加入时下论文中介绍的收敛因子和惯性权重，比传统基本算法效率高(Particle swarm optimization to improve the overall situation, adding the current paper are described in the convergence factor and inertia weight, the basic algorithm than the traditional efficient)
- 2009-06-15 09:21:37下载
- 积分：1
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hareresholddenoising
对信号进行小波分解，用硬阈值方法去除噪声，进而提高精度(right signal wavelet decomposition, with a hard threshold to remove noise, and to improve accuracy)
- 2006-10-19 17:16:53下载
- 积分：1
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project
This is an hardware project.
- 2011-01-24 14:32:16下载
- 积分：1
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diversity
这个程序是三种分集合并方式的比较，选择合并，等增益合并，最大比值合并(This program gives the comparison of improvements offered by the 3 combining techniques, namely Selection Diversity, Equal Gain and Maximal Ratio.)
- 2010-05-19 09:49:58下载
- 积分：1
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bpann
严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计
优化1：设计了yyy，即在o(k)计算公式时，当网络进入平坦区时(<0.0001)学习率加大， 出来后学习率又还原
优化2：v(i,j)=v(i,j)+deltv(i,j)+a*dv(i,j) (A Matlab procedures in strict accordance with the BP network computing formula to design, the optimization design was carried out on BP network
Optimization design of 1: YYY, that is O (k) in the formula, when the network into the flat area (<0.0001) learning rate increase, after learning rate and reduction
Optimization of 2:v (I, J) =v (I, J)+deltv (I, J)+a*dv (I, J) )
- 2015-01-27 17:07:04下载
- 积分：1
