-
alamouti3
Alamouti scheme communication
- 2013-11-04 08:36:27下载
- 积分：1
-
nlms_d
归一化LMS算法，自己更改参考信号和期望信号(normalized LMS algorithm，change the reference signal and desired signal by yourself)
- 2012-10-30 04:37:08下载
- 积分：1
-
TSP
使用模拟退火算法解决旅行商问题的MATLAB源程序，可直接运行(Using the simulated annealing algorithm to solve traveling salesman problem MATLAB source code can be directly run)
- 2010-09-03 17:39:33下载
- 积分：1
-
GAbp
说明： 用遗传算法优化BP神经网络的初始权值与阈值.使用gaot与nntools(Use ga optimative the weight and bias of BP neural network.)
- 2010-04-25 23:29:56下载
- 积分：1
-
cmex
Tutorial for cmex in matlab builing c(cmex matlab)
- 2013-08-01 22:23:48下载
- 积分：1
-
zhihuangenzong
电流滞环跟踪控制技术的MATLAB/SIMULINK仿真，文件夹里有三相的和单相的两个部分的仿真，(Hysteresis current tracking control technology MATLAB/SIMULINK simulation, simulation folder has a three-phase and single-phase two-part,)
- 2020-12-21 21:09:09下载
- 积分：1
-
sanseng
外文资料里面的源代码，用MATLAB实现的压缩传感，有小波分析的盲信号处理。( Foreign materials inside the source code, Using MATLAB compressed sensing, There Wavelet Analysis Blind Signal Processing.)
- 2016-11-08 22:37:39下载
- 积分：1
-
fmrlc_tanker
Fuzzy model reference learning control simulation (ship tanker)
- 2010-08-21 22:45:15下载
- 积分：1
-
TDCS
TDCS(变换域通信系统)与直扩通信系统性能比较的程序，对于研究TDCS的朋友很有用！(TDCS (Transform Domain Communication System) and Direct Sequence Spread Spectrum Communication System Performance Comparison of procedures for the study of useful TDCS friends!)
- 2009-05-26 18:02:24下载
- 积分：1
-
Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
