-
PCA
PCA主成分分析用于人脸识别,提取特征值特征向量。有ORL人脸库。(PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.)
- 2009-03-19 15:56:47下载
- 积分:1
-
hanmingma
说明: 程序实现汉明码的编码与译码,与一般程序不同,该程序具有良好的接口(Program for hamming code encoding and decoding, and the general procedure, this program has a good interface)
- 2010-04-14 19:47:00下载
- 积分:1
-
satellite-image
satellite image 21213213
- 2012-04-14 18:34:27下载
- 积分:1
-
leach(matlab)
用Matlab对LEACH分簇算法(cluster)的仿真程序(Using Matlab on LEACH clustering algorithm (cluster) of the simulation program)
- 2009-03-05 15:59:38下载
- 积分:1
-
image2avi
图像序列转化为avi格式
.mat文件转化为图像格式(image2avi
mat2image)
- 2010-08-24 17:03:57下载
- 积分:1
-
CHEMICAL-PROCESS-CONTROL
CHEMICAL PROCESS CONTROL
- 2013-02-01 22:18:32下载
- 积分:1
-
interpolation
提供mathlab进行插值,数据回归分析等方法(gg)
- 2010-07-21 12:44:04下载
- 积分:1
-
PID1
本例程包含位置式PID算法、积分分离式PID算法等一般PID算法(This routine contains the positional PID algorithm, points separate the general PID algorithm PID algorithm)
- 2010-10-12 17:06:01下载
- 积分:1
-
ARRAYS
计算天线阵列的多种不同布阵方式的方向图,基本的。( This is a MATLAB based program that computes the
radiation characteristics of:
I. LINEAR ARRAYS(UNIFORM & BROADSIDE NONUNIFORM)
II. PLANAR ARRAY (BROADSIDE UNIFORM)
II. CIRCULAR ARRAY (BROADSIDE UNIFORM))
- 2011-06-29 23:58:28下载
- 积分:1
-
walker
人生路模拟人体结构 实现性别辨别,研究肌肉 速度 肩宽 对速度的影响(matlab WALKER Human gait.
This model, developed by Nikolaus Troje, is a five-term Fourier series
with vector-valued coefficients that are the principal components for
data obtained in motion capture experiments involving subjects wearing
reflective markers walking on a treadmill. The components, which are
also known as "postures" or "eigenwalkers", correspond to the static
position, forward motion, sideways sway, and two hopping/bouncing
movements that differ in the phase relationship between the upper and
lower portions of the body. The postures are also classified by gender.
Sliders allow you to vary the amount that each component contributes to
the overall motion. A slider setting greater than 1.0 overemphasizes
the characteristic. Can you see whether positive values of the gender
coefficient correspond to male or female subjects?
)
- 2011-11-30 20:40:45下载
- 积分:1