-
fzerotx1
matlab方程求根数值解法,简化版的faero()算法(matlab equation Root numerical solution, a simplified version of faero () method)
- 2015-01-26 15:51:21下载
- 积分:1
-
Pattern_Classification
模式分类英文版,非常好的machine learning课本(pattern classification, very useful for machine learning.)
- 2012-03-29 01:21:26下载
- 积分:1
-
boxcox
在matlab环境下编写的boxcox金融计算方法。(Matlab environment in the preparation of the financial boxcox calculation.)
- 2008-12-11 13:59:20下载
- 积分:1
-
Eye-location-
首先对图像进行非线性灰度变换滤除噪声,然后利用最大类间方差阈值技术对处理后的图像进行二值化处理,最后利用积分投影定位人眼(First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally using integral projection technology to pinpoint the human eye)
- 2013-07-17 17:31:07下载
- 积分:1
-
PMSM_flux-weakening
永磁同步电机弱磁调速系统的仿真.在矢量控制的基础上进行改进,采用弱磁调速,可作为参考.(Permanent magnet synchronous motor speed control system simulation weakening in vector control on the basis of improved, using weak magnetic speed, can be used as reference.)
- 2013-08-12 13:36:03下载
- 积分:1
-
BM3D
关于高斯噪声去除的目前最优秀的算法 BM3D 欢迎大家交流学习(Welcome About the best algorithm BM3D Gaussian noise removal the exchange of learning)
- 2012-10-24 21:37:06下载
- 积分:1
-
melcepst
计算Mel倒谱系数的matlab程序:
MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
使用: c=melcepst(s,fs) % calculate mel cepstrum with 12 coefs, 256 sample frames(Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames)
- 2008-12-09 14:50:15下载
- 积分:1
-
space_time_coding
fundamental principles of space-time coding for wireless communications
- 2010-09-12 04:56:30下载
- 积分:1
-
image
This is the ebook of signal image processing.
- 2010-10-06 14:08:18下载
- 积分:1
-
chap5
神经网络的滑模逼近,matlab仿真,希望对大家有用(Neural network sliding-mode approximation, matlab simulation, in the hope that useful to everybody)
- 2008-03-26 12:28:32下载
- 积分:1