-
kernel_k_means
kernel kmeans is a fast and efficeient kmeans algorithm implementation
- 2009-05-01 11:41:03下载
- 积分：1
-
matlab
使用Matlab在通信系统的建模与仿真，论文形式，含有源代码 -use Matlab in communications systems modeling and simulation, paper form, containing the source code (The use of Matlab in communication system modeling and simulation, paper form, containing the source code-use Matlab in communications systems modeling and simulation, paper form, containing the source code)
- 2008-05-19 11:06:24下载
- 积分：1
-
PSO-algorithm
粒子群算法是一种智能优化算法，具有良好的全局搜索能力和鲁棒性。(Particle swarm optimization algorithm is an intelligent algorithm, which has a good global search capability and robustness.)
- 2014-09-08 11:02:20下载
- 积分：1
-
cox-watermarking-master
再matlab上实现基于扩频的数字水印。图像处理(This is a simple spread-spectrum based informed watermarking implementation in MATLAB. )
- 2013-12-18 19:55:38下载
- 积分：1
-
RPF
用MATLAC做的非线性时间序列预测和平滑,可以用来做非线性模型的预测和估计(MATLAC done using nonlinear time series prediction and smooth, non-linear model can be used to make the projections and estimates)
- 2007-12-06 21:35:21下载
- 积分：1
-
matlabtongjishuiguo
利用最新高科技（图像处理技术）将水果自动统计。实现了自动化。(Using the latest technology (image processing) will be automatically fruit statistics. Automated.)
- 2010-10-24 11:04:56下载
- 积分：1
-
correct
When using objectness in your application, it is important to take into account the score of a window returned by this software
- 2013-07-25 20:29:51下载
- 积分：1
-
mlp-sample
multi layer perceptron - MLP sample
- 2012-06-29 22:03:44下载
- 积分：1
-
Chapter_8
pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序 pi/4 DQPSK 系统仿真程序(pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program pi/4 DQPSK system simulation program)
- 2009-07-09 09:47:32下载
- 积分：1
-
toolbox_fast_marching
The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment.
Each segment of the input ECG T is compared to the reference segment using SEA.
The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal.
A user specified threshold value on the correlation factor c is used for decision
- 2011-11-10 13:11:39下载
- 积分：1
|
联系客服（QQ：3324461878）
