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coding
upload my files in matlab coding.get my coding and give to download the files.and give to points
- 2013-02-24 17:59:04下载
- 积分：1
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BP-RBF
BP神经网络模型的算法和RBF神经网络模型的算法(Algorithm algorithm and RBF neural network model of BP neural network model)
- 2013-12-22 21:30:38下载
- 积分：1
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Matlab做有限元分析程序
说明： Matlab做有限元分析，有静态、动态、非线性分析(Matlab finite element analysis, static, dynamic, nonlinear analysis)
- 2018-12-29 20:48:45下载
- 积分：1
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caculate the guide modes of photonics crystals
caculate the guide modes of photonics crystals.us
This is a program to calculate the Photonic Bands of two |
%| dimension Photonic Crystal with circular inclusions. |
%| It calculates both TE and TM modes (E and H polarization)
- 2022-02-04 16:27:16下载
- 积分：1
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不同类型的滤波器对信号和图像的预处理代码
在大多数图像和信号处理，我们需要预处理工具，以提高他们的素质和有更好的结果。此类工具之一过滤在此文件中存在一些人。
- 2022-02-06 05:31:40下载
- 积分：1
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simulation-of-random-process
基于AR原理，对随机过程进行了monte carlo模拟。对结构的抗风、抗震设计有参考价值(Monte carlo simulation of random process based on the AR principle. On the structure of the wind, seismic design of the reference value)
- 2012-05-02 15:24:45下载
- 积分：1
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face
人工智能人脸识别系统，计算识别率，采用最传统的方法(Artificial Intelligence- face recognition system, recognition rate is calculated, using the most traditional methods)
- 2013-12-04 23:42:05下载
- 积分：1
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robotic-toolboxPforPmatlab
matlab Robotic Roolbox机器人工具箱，用于机器人正、逆运动学计算，轨迹规划，仿真模拟及系统设计(matlab Robotic Roolbox robot kit for robot forward and inverse kinematics calculations, trajectory planning, simulation and system design)
- 2013-11-17 14:22:32下载
- 积分：1
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kanglei_v58
是学习PCA特征提取的很好的学习资料，光纤无线通信系统中传输性能的研究，小波包分析提取振动信号中的特征频率。( Is a good learning materials to learn PCA feature extraction, Fiber Transmission wireless communication system performance, Wavelet packet analysis to extract vibration signal characteristic frequency.)
- 2016-05-15 16:59:28下载
- 积分：1
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RLS
仿真对象如下：
其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。
选择如下辨识模型：
加权阵取Λ = I。
衰减因子β = 0.98，数据长度 L = 402。
辨识结果与理论值比较，基本相同。辨识结果可信
(he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)
- 2012-12-28 15:49:33下载
- 积分：1
