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Blind_recognition_STBC
The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background.
Example: To create the fig 3,4 and 5 of the paper, call the routine:
Blind_recognition_STBC2_simulation_results(512,4, PSK ,4)
Reference:
[1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.
- 2010-06-20 19:58:15下载
- 积分:1
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bayes_matlab
功能强大的matlab写的bayes分类器(Powerful matlab write Bayes classifier)
- 2008-04-26 18:22:51下载
- 积分:1
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wuyueshuyiweijizhi
MATLAB无约束一维极值问题,解决无约束的一维极值问题(very good)
- 2012-05-29 16:27:57下载
- 积分:1
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xiangtu
分线性方程 相图 谱分析 庞加莱截面图 可以作为例子写出自己需要的(The phase spectra analysis of the sub-linear equations Poincare Figure can be used as an example to write their own needs)
- 2013-03-28 09:49:07下载
- 积分:1
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Extended-RDA_Algorithm
Extended RDA Algorithm
- 2011-12-28 17:40:13下载
- 积分:1
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gmsk
gmsk. some information
- 2009-05-05 15:27:00下载
- 积分:1
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MatlabFiles
This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate.
Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level.
The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).
- 2010-11-26 15:30:54下载
- 积分:1
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Snake
原始snake matlab 源碼,簡單版( seg = localized_seg(I,init_mask,max_its,rad,alpha,method)
Inputs: I 2D image
init_mask Initialization (1 = foreground, 0 = bg)
max_its Number of iterations to run segmentation for
rad (optional) Localization Radius (in pixels)
smaller = more local, bigger = more global
alpha (optional) Weight of smoothing term
higer = smoother
method (optional) selects localized energy
1 = Chan-Vese Energy
2 = Yezzi Energy (usually works better))
- 2010-05-23 17:35:06下载
- 积分:1
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MAZE_Periodic_ILB
波尔兹曼格子法计算流体分析的matlab实例(Lattice Boltzmann method matlab examples)
- 2011-09-29 18:10:50下载
- 积分:1
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continuous-GA
continues GA matlab code
- 2013-05-13 15:10:22下载
- 积分:1