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main
I upload matlab code of Tracking servo system
- 2009-04-28 10:44:17下载
- 积分：1
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compressedsensing
说明： 压缩感知雷达文献，里面包含大量关于压缩感知雷达文章(compressed sensing)
- 2010-04-12 11:12:49下载
- 积分：1
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Digitalsignalprocessing
由MATLAB软件编写的数字信号处理实现示例(Prepared by the MATLAB software, digital signal processing implementation example)
- 2010-05-14 14:44:08下载
- 积分：1
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Mag_Color_Snake
使用双线性内插或二次曲面内插放大图像，然后使用彩色自蛇模型去除边缘模糊和锯齿效应(Using bilinear interpolation or quadratic surface interpolation to enlarge the image, then use the color removed from the snake model and the sawtooth effect of edge blur)
- 2010-05-17 16:31:11下载
- 积分：1
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brovey
remote sensing image fusion based on Brovey transform on matlab
- 2014-02-14 23:27:21下载
- 积分：1
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lamina
composite material lamina
- 2014-05-26 23:24:25下载
- 积分：1
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kalmanwuweizhi
基于卡尔曼滤波的永磁同步电机无位置传感器矢量控制仿真。(Based on Kalman Filter PMSM sensorless vector control simulation.)
- 2021-04-26 20:48:45下载
- 积分：1
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ADABOOST
Directory contains the following files.
1. ADABOOST_te.m
2. ADABOOST_tr.m
3. demo.m
4. likelihood2class.m
5. threshold_te.m
6. threshold_tr.m
The aim of the project is to provide a source of the
meta-learning algorithm known as AdaBoost to improve
the performance of the user-defined classifiers.
To make use of adaboost, first two functions must be
run with the appropriate parameters. The explanation
of each source file is available with "help" command.
To see how they work, run demo.m as
>> demo
First three lines in demo.m specifies the training and
testing set size and the number of weak (threshold)
classifiers.
For bug reporting and for comments do not hesitate to
send e-mail to the author.
Cuneyt Mertayak
e
- 2022-03-13 10:39:29下载
- 积分：1
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StereoVision_SSD
本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。
这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。
main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘
制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数
y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。
从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions.
The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD.
main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters
y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data.
From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds.
)
- 2011-01-25 19:06:47下载
- 积分：1
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香气数据处理
代码默认处理数据为Flavornet数据库。可以将香气字符串数据进行转换，按照分子或香气类型建立搜索索引。
- 2022-12-24 05:40:03下载
- 积分：1
