-
es_Ang_Hough
自编的采用Hough变换的方法估计运动模糊图像的方向，含一个M文件，注释详细，希望对学习图像复原的朋友有一些帮助。(The use of self Hough transform to estimate the direction of motion blurred images, with an M file, comment in detail, hoping to restore the images to the friends learn that some help.)
- 2010-07-02 20:29:46下载
- 积分：1
-
svm_model
space vector modulation for three phase induction motor open loop operation
- 2010-02-26 16:54:23下载
- 积分：1
-
Controllability-index
optimal placement of a piezoelectric actuator using controllability index
- 2014-09-03 04:12:20下载
- 积分：1
-
kanotf
helo hw ru fne kay means
- 2013-12-02 11:26:34下载
- 积分：1
-
cochlear-implant
说明： 基于MATLAB的电子耳蜗算法的研究进展(MATLAB-based algorithm Cochlear Implant Research)
- 2011-03-17 16:36:19下载
- 积分：1
-
huixing
彗星返回地球动态过程的matlab小程序
(matlab)
- 2010-05-11 12:05:32下载
- 积分：1
-
La-machine-synchrone
Modelisation de la machine asynchrone avec matlab simulink
- 2014-01-21 20:53:59下载
- 积分：1
-
Matlab
基於 Matlab 系统辨识工具箱的系统建模(Matlab System Identification Toolbox for System Modeling)
- 2010-01-05 20:40:54下载
- 积分：1
-
frequencyoffsetestimateofdm
Algorithm for Frequency estimation
- 2010-06-08 14:31:57下载
- 积分：1
-
kaam_ki_cheez
The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)
- 2009-12-05 17:14:58下载
- 积分：1
