-
face_idendification.zip
这是一些关于人脸识别的MATLAB程序，主要对人脸清晰度的处理，可以使图形信息更加的清晰，希望对大家有好的方面(This is some of the MATLAB program on the face recognition, mainly on the treatment of facial definition, can make information more clear graphics, I hope all of you there are good aspects of)
- 2008-12-19 22:28:31下载
- 积分：1
-
PP_Ssl101h
CCNET protocol
Programming sample for protocol CCNET
- 2014-10-04 15:13:52下载
- 积分：1
-
spatial_based-algorithms.m
Spatial based to remove dct artifacts
- 2013-10-20 21:01:56下载
- 积分：1
-
LeastSquares_BeamInterpolation
最小均方波束插值算法matlab仿真程序，自编已验证(LMS beam interpolation matlab simulation program, self Verified)
- 2010-07-09 16:12:14下载
- 积分：1
-
AugmentedLeastSquares
增广的最小二乘法源程序，加以改进，可以用于动力电池的电路模型参数辨识，也可以用于超级电容的系统辨识(Augmented Least Squares source code, to be improved, can be used to power batteries of the circuit model parameters identification, super-capacitor can also be used for system identification)
- 2010-08-07 12:41:56下载
- 积分：1
-
PIANO
PIANO CREATED
simple piano in C programming language
- 2010-11-16 13:59:12下载
- 积分：1
-
3-values-discending-order
this is edokvosi edishtosi neznam si kbo ebasi tuopto
- 2014-09-16 02:14:13下载
- 积分：1
-
GM1_1
灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values obtained result of the inverse process.)
- 2013-09-24 00:48:16下载
- 积分：1
-
rasmusbergpalm-DeepLearnToolbox
深度学习程序包，内含多种网络结构的matlab实现。(The deep learning package contains matlab implementations of a variety of network structures.)
- 2018-01-04 08:50:19下载
- 积分：1
-
lingo
水电站的生产计划 lingo程序实现的较好的水电站模型(The production plan of hydropower station)
- 2012-08-08 13:12:55下载
- 积分：1
|
联系客服（QQ：3324461878）
