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load_flow
load flow algorithm, with entering bus data and line data it solves the load flow with newton method.
- 2009-05-12 22:14:07下载
- 积分：1
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matlab-help
说明： matlab help，很不错的教程，对你一定会有帮助(GOOD)
- 2010-04-15 08:34:36下载
- 积分：1
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bianyuanjiance
说明： 变化参数，实验LOG边缘检测算法。参数越大，则最后图像边缘检测的轮廓的图像细节也就越少。(Change parameters, experimental LOG edge detection algorithm. Parameter is larger, the final contour edge detection of the less image detail.)
- 2010-04-21 10:55:43下载
- 积分：1
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OFDM_Est_MAP
the performance of LSE algorithm in OFDM channel estimation
- 2013-04-04 18:18:58下载
- 积分：1
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Final2
filter of... desing for filter
- 2012-06-23 03:56:54下载
- 积分：1
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clustree.1.2
聚类树的matlab软件包。层次聚类分析器。(ClusTree is a GUI Matlab tool that:
Enables an easy and intuitive way to cluster, analyze and compare some hierarchical clustering methods
Consists of a two-step wizard that wraps some basic Matlab clustering methods and introduces the Top-Down Quantum Clustering algorithm.
Provides a flexible and customizable interface for clustering data with high dimensionality.
Allows both textual and graphical display for the clustering results.
Can either apply hierarchical clustering to a dataset or analyze ‘pre-clustered’ results.
)
- 2013-01-29 11:15:17下载
- 积分：1
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模糊控制
基于模糊PID控制下的BUCK电路稳压输出的仿真，并对比了模糊控制和PID控制。(Based on the simulation of BUCK circuit voltage stabilizing output under fuzzy PID control, the fuzzy control and PID control are compared.)
- 2019-04-29 22:09:10下载
- 积分：1
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MapleSimSimulinkConnectorGuide
系统地介绍了MATLAB中simulink仿真的用法，对初学MATLAB的人有很大帮助(Systematic introduction to the use of MATLAB, simulink simulation, MATLAB for beginners who are very helpful)
- 2010-10-30 11:27:58下载
- 积分：1
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Color_digital_image_sharper
分别采用RGB模型和HIS模型对图像imageLane.bmp进行锐化，并比较锐化的效果是否相同（两锐化后的图像相减）。(Using RGB model respectively for imageLane image and HIS model for sharpening, BMP, and compared the effect is the same sharpening (two sharpen the image subtraction).)
- 2009-12-07 12:54:03下载
- 积分：1
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assign_2_a
We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.
- 2013-05-02 02:53:16下载
- 积分：1
