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Identifi-cation-of-Inducti-on-Motors
为减小感应电机转动惯量对机械特性的影响 ,基于最小二乘法 ,引入开关控制器 ,构建了一种新
型的最小二乘参数辨识器 (To reduce the infl uence tha t the vari ai on of the inertiato the mechani cal characteristics of induction moto r , a new identifier based on the Recursive L eat Square salgorithm is propo s ed . )
- 2014-09-20 10:25:12下载
- 积分：1
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ECG
Processing EKG via Pan-and-Tompkins algorithm
- 2013-08-29 18:18:59下载
- 积分：1
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calculation
利用Matlab编写程序实现简易计算器功能,完成日常计算必备神器(Using Matlab programming to achieve simple calculator functions necessary to complete everyday computing artifacts)
- 2013-10-22 23:17:41下载
- 积分：1
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apcluster.m
ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)
- 2017-11-19 23:56:45下载
- 积分：1
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Fmax
说明： 计算RV减速器摆线针轮啮合，一赫兹公式为核心，李力形(Calculate the engagement of the cycloidal pin wheel of RV Reducer, with the one Hertz formula as the core and the Li force shape)
- 2021-04-02 15:09:07下载
- 积分：1
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csma
This is a code for csma
- 2009-10-15 13:26:30下载
- 积分：1
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Kalman_sd
卡尔曼滤波器相关的程序，对目标的速度均方根误差等进行了仿真(Kalman filter procedure, the speed of the target such as root mean square error simulation)
- 2012-08-02 21:18:13下载
- 积分：1
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chengxu
参数变化对最小相位系统的影响，动态矩阵算法（DMC）仿真实例。(Effects of parameter changes on the minimum-phase system。Dynamic matrix algorithm (DMC) simulation.)
- 2013-12-27 13:59:53下载
- 积分：1
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MATLAB_power_system_design_and_analysis
MATLAB电力系统设计与分析. 对Matlab软件在店里系统建模和仿真中的应用作了详细的介绍。同时列举了大量详细的例子。(MATLAB power system design and analysis. Of Matlab software in the store system modeling and simulation of the application in detail. At the same time, listed a large number of detailed examples.)
- 2009-04-12 18:22:26下载
- 积分：1
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project1_code
这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine
Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))
- 2015-03-09 20:59:12下载
- 积分：1
