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FINDENDSJUNCTIONS
FINDENDSJUNCTIONS - find junctions and endings in a line/edge image
Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp)
Arguments: edgeim - A binary image marking lines/edges in an image. It is
assumed that this is a thinned or skeleton image (or
nearly so).
disp - An optional flag 0/1 to indicate whether the edge
image should be plotted with the junctions and endings
marked. This defaults to 0.
Returns: rj, cj - Row and column coordinates of junction points in the
image.
re, ce - Row and column coordinates of end points in the
image.
- 2012-05-28 12:09:57下载
- 积分：1
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S_test
matlab中使用S函数写的一个PID控制器，并且在simulink中调用，将之与使用simulink模块搭建的PI控制器对比，压缩包中MyPID和PI_Controller是用S函数写的控制器(A matlab source file and simulink simulation. Use S function to generate a PID controller. The controller is applied in the matlab simulink file.)
- 2015-06-18 22:19:06下载
- 积分：1
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S_Transformation
说明： S变换的matlab源码,希望对大家有帮助(S transform matlab source, in the hope that we have to help)
- 2008-12-05 09:28:16下载
- 积分：1
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Adaptnoise
c_语言，代码，用于数字信号处理开发板
TMS3206713
自适应滤波器，LMS 算法去除噪声。(LMS adaptive filter cancel noise)
- 2011-07-04 11:15:37下载
- 积分：1
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SPIDER_mclass
Multi-class Coding (adapted from from LS-SVM for SPIDER). Encode (code_MOC, code_ECOC, code_OneVsAll, code_OneVsOns) and decode (codedist_hamming, codedist_bay) a multi-class classification task into multiple binary classifiers.
- 2010-06-20 13:24:08下载
- 积分：1
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FRFT
分数阶傅立叶变换的示例程序，个人成果，仅供参考(Fractional Fourier transform of the sample program, individual results, for reference only)
- 2011-05-05 14:39:54下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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GSMSP_Analyzing_GSM_data_in_MatLab
The GSMSP uses the USRP hardware device to receive data
from the GSM band. This data is raw and pretty useless unless filtered
correctly.
- 2008-04-03 17:32:27下载
- 积分：1
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HeliD3D_demo
arizonal state university 直升机仿真源码 matlab(source code of helicopter simulation, by arizonal state university (matlab))
- 2013-01-28 12:08:50下载
- 积分：1
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sim_GaitModel_complete
生命迹象探测步进频仿真生命迹象微弱目标探测步进频仿真(Vital signs to detect faint signs of life stepping frequency simulation target detection step frequency simulation)
- 2013-04-18 16:07:55下载
- 积分：1
