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matlab
RLS , channel equalizer
- 2011-09-09 00:26:38下载
- 积分:1
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sanxiangnibian
三相 逆变 仿真 pwm 50Hz 380V 工业控制(Three-phase inverter simulation PWM 50 Hz ac 380 V industrial control )
- 2011-10-06 22:53:57下载
- 积分:1
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ekfukf_1_2
MATLAB 工具箱可以载入优化该软件的功能(matlab box)
- 2013-12-22 22:46:37下载
- 积分:1
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icalunwen
用ica进行混合图像分离,里面含有用matlab编写的源程序(Separation of mixed images using ica, which contains the source code written with matlab)
- 2010-05-25 20:46:59下载
- 积分:1
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Networking-Essentials
MCSE Training Guide: Networking Essentials, Second
Edition is designed for advanced end-users, service technicians,
and network administrators with the goal of
certification as a Microsoft Certified Systems Engineer
(MCSE). The “Networking Essentials” exam (70-058)
measures your ability to implement, administer, and
troubleshoot information systems that incorporate
Windows 95 as well as any of the BackOffice family of
products. According to Microsoft, the exam covers only
the networking knowledge and skills common to both
Windows 95 and BackOffice products.
- 2014-02-18 16:49:25下载
- 积分:1
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C_netMatlabhunhebianchengdekuaisushixian
matlab的基础学习(The matlab-based learning)
- 2008-04-10 08:36:05下载
- 积分:1
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ARMApq
指定ARMA阶数p,q值 估计ARMA模型的参数值(ARMA order of the specified p, q value estimated ARMA model parameters)
- 2010-05-22 02:10:35下载
- 积分:1
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Inverting-the-image-laterally
用于在3D投影显示中将投影立体图像进行预先的左右翻转。(Inverting the image laterally)
- 2014-11-17 21:08:57下载
- 积分:1
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Matrix-Cookbook
The Matrix Cookbook 这个资料包含了矩阵的各种运算公式,对于不熟悉矩阵运算的朋友可以看看(The Matrix Cookbook This information contains a variety of computing equation matrix matrix operations are not familiar friends can see)
- 2013-12-17 17:30:35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