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Untitled
MATlab避障控制算法 需要安装Tomlab工具箱,比matlab自带工具箱更具有优点!(MATlab obstacle avoidance control algorithm will need to install Tomlab toolbox, matlab own toolbox more than the benefits!)
- 2011-04-19 09:56:18下载
- 积分:1
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HMM
HMM识别孤立词的研究与实现,有助于学习语音识别(HMM isolated word recognition and implementation of research, contribute to learning speech recognition)
- 2013-09-05 13:06:15下载
- 积分:1
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c12_example2
多载波系统中的交调失真,输入信号是频率在11Hz和 14Hz的双音带通信号。(Multicarrier system intermodulation distortion, the input signal is frequency 11Hz and 14Hz dual tape communication number.)
- 2013-09-07 09:27:36下载
- 积分:1
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AVERAGE
AVERAGE FILTER IN IMAGE PROCESSING
- 2013-10-05 00:32:54下载
- 积分:1
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imageprocessing
运用MATLAB程序识别图像并将其划分为文字和非文字的两个类别(MATLAB program to identify the use of images and text and is divided into two categories of non-text)
- 2008-12-20 17:34:34下载
- 积分:1
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string2
说明: 加强环的应力和位移计算程序,可以求出每隔5度位置处圆环的应力\弯矩和位移.(strengthen the stress and displacement calculation procedures, we can solve every 5 degrees positions of the stress Circle \ moment and displacement.)
- 2006-03-08 21:46:53下载
- 积分:1
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Matlab
本书对matlab由简单到难的介绍,尤其是在矩阵那一节,对很多细节处,一些平常书都不回介绍到的命令进行了详细介绍( the book introduce matlab from easy to hard,especially in introducing matrix,it tell many details which other book don‘t introduce)
- 2012-05-13 14:49:48下载
- 积分:1
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harris_method
harris corner detector code in digital image processing
- 2013-12-21 22:59:11下载
- 积分:1
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Mycold
在matlab软件中,自己编程实现的一个分类算法,算法首先采用kmeans与fcm聚类分析方法进行采样,然后利用svm对选取得样本进行分类(In matlab software, own programming to achieve a classification algorithm, the algorithm first used fcm kmeans cluster analysis methods and sampling, and then use the elections to obtain samples for svm classification)
- 2013-12-24 19:29:47下载
- 积分:1
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lle
Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.
- 2011-01-23 02:12:31下载
- 积分:1