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powerSD
这是一个计算功率谱的C语言源程序,采用周期图法估计,可以直接应用与项目中,对做信号处理和图像处理的同志们有用。(this is a psd program that use the C language and it can be used in your project.)
- 2012-01-16 21:39:49下载
- 积分:1
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rayleigh
Rayleigh fading programming.
- 2009-11-12 01:27:13下载
- 积分:1
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PCA_based-Face-Recognition-System
基于PCA的人脸检测算法,识别效果很不错,程序很鲁棒
(PCA_based Face Recognition System)
- 2011-01-04 13:48:35下载
- 积分:1
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MUTLABDSB
matlab实现通信中DSB调制。程序中相关数据不同,请根据自己需要修改。(DSB modulation matlab to achieve communication. Process data are different, modify according to their needs.)
- 2010-05-07 21:04:30下载
- 积分:1
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matlab
matlab file mainly uses for learning matlab
- 2012-10-09 06:10:40下载
- 积分:1
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biliguanlifa
数学建模中的比列加惯例法matlab程序完整编写(Than the column in the mathematical modeling and customary law the matlab program complete write)
- 2012-11-18 14:12:20下载
- 积分:1
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fft_direct
direct calculation of fft
- 2010-07-11 12:53:29下载
- 积分:1
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PCA
主成分分析代码,用matlab实现的,请大家参阅。(Principal component analysis code, matlab implementation, please refer to the.)
- 2009-10-22 10:16:49下载
- 积分:1
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Fcm
FCM Data set clustering using fuzzy c-means clustering.
[CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of
clusters in the data set DATA. DATA is size M-by-N, where M is the number of
data points and N is the number of coordinates for each data point. The
coordinates for each cluster center are returned in the rows of the matrix
CENTER. The membership function matrix U contains the grade of membership of
each DATA point in each cluster. The values 0 and 1 indicate no membership
and full membership respectively. Grades between 0 and 1 indicate that the
data point has partial membership in a cluster. At each iteration, an
objective function is minimized to find the best location for the clusters
and its values are returned in OBJ_FCN.
- 2013-04-21 07:30:57下载
- 积分:1
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miFV
The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.
- 2015-03-31 18:39:34下载
- 积分:1