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SequentialSamplingImportanceResampling(SIR)
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.(this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.)
- 2006-10-26 14:20:12下载
- 积分:1
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BLDC_System_control
建立电机模型进行BLDC控制仿真,包括详细建模过程的word描述。(Establishment of the motor model BLDC control simulation)
- 2014-12-25 21:32:48下载
- 积分:1
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ARMA_adaptive_gm
自适应,arma ,gm ,都是根据论文写得,结果和论文一样,仅供参考。(Adaptive, arma, gm, are based on written papers, and papers as a result, are for reference only.)
- 2013-12-23 22:19:06下载
- 积分:1
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convolution
convolution with matlab
- 2009-04-28 18:37:51下载
- 积分:1
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xiaoboyasuo
利用小波域的图像压缩程序,小波分解,重构然后压缩(Using wavelet image compression programs)
- 2010-01-10 22:47:51下载
- 积分:1
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matlb_ofdm
基于matlab的ofdm源代码合集。包括simulink和c所写代码。(Ofdm matlab source code based on the collection. Including simulink and c written code.)
- 2014-12-19 10:51:02下载
- 积分:1
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get_assortative_coefficient
通过网络的邻接矩阵,获取同配系数。同配系数是复杂网络中一个重要参数。(Through the network adjacency matrix to obtain the same allocation factor. With the distribution coefficient is a complex network, an important parameter.)
- 2009-02-05 11:44:44下载
- 积分:1
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frequence
一个对数据进行频域分析的MATLAB程序,可以输出谐波幅值和相角(One pair of data in the frequency domain analysis of MATLAB program that can output harmonic amplitude and phase angle)
- 2014-09-10 08:59:36下载
- 积分:1
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cnkeepBeta
01.网址评级策略
02.文件类型策略
03.分类改为标签
04.新增用户头像
05.优化执行效率
06.改良模板编辑
07.系统运行日志
08.外部引用功能(1 web site rating strategy
2 file type policy
3 classified as labels
4 new user Avatar
5 optimal execution efficiency
6 improved template editing
7 system operation log
8 external reference function)
- 2016-04-10 10:24:35下载
- 积分:1
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RBF_per
先归一化输入输出参数,用KMens优化RBF神经网络中心值,然后计算隐节点数据中心间的距离(矩阵),得到各隐节点的扩展常数(宽度),接着用最小二乘法得到各隐节点的输出权值,对数据进行反归一化,并绘图得到神经网络输出与测试集图,同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)
- 2021-01-12 10:18:49下载
- 积分:1