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SEGY
Matlab读取Segy数据并简单处理，便于后续处理(Read Segy Matlab data and simple processing, easy to follow-up treatment)
- 2011-05-05 11:51:54下载
- 积分：1
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reach
自己写的程序，处理人体三维数据手部数据时，对指定域进行简化(Write their own procedures when dealing with three-dimensional data of human hand data on the specified domain to simplify)
- 2015-04-05 11:22:48下载
- 积分：1
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harddecisiontest
认知无线电中 硬判决 matlab仿真代码 EGC(Hard decision cognitive radio matlab simulation code EGC)
- 2012-07-22 13:12:42下载
- 积分：1
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Fuzzy-auto-tuning-for-a-PID-controller
i want to fuzzy pid code for my thesis work
- 2013-03-23 15:30:58下载
- 积分：1
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huffman
matlab实现huffman编码 1. norm2huff.m (encoder function)
2. huff2norm.m (decoder function)
3. frequency.m (private function)
4. huffcodes2bin.m (binary rapresentation of huffman codes)
5. huffman_bench1.m (benchmark)
6. huffman_demo1.m (demo file)
7. huffman_demo2.m (demo file)
8. huffman_test1.m (test file)
9. huffman_test2.m (test file)
10. huffman_docs.zip (documentation)
11. Disclamer.txt (this is the disclamer)(huffman coding matlab realize 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark ) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer))
- 2007-10-17 14:59:22下载
- 积分：1
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matlab
MATLAB 神经网络用于数字识别源程序 手写数字识别，有图例，大家可以看看(MATLAB neural network to identify the source for digital handwritten numeral recognition, there are legends, we will look at)
- 2009-04-16 12:45:30下载
- 积分：1
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ART1_ARTMAP_FART_FARTMAP
ART and ARTMAP neural networks
- 2011-07-08 18:20:59下载
- 积分：1
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wang
运筹学里的优化算法，源代码，而且经过matlab运行过了(Operations Research in the optimization algorithm, source code, and after a run Matlab)
- 2013-09-01 09:50:18下载
- 积分：1
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root_locus
控制系统仿真中的根轨迹MATLAB仿真源码(Control System Simulation in MATLAB simulation source root locus)
- 2009-04-07 20:04:57下载
- 积分：1
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strongtrackingfilter
在目标被动式跟踪中广泛应用的伪量测变换估计器(PLE)具有良好的误差收敛性。然而由于等价噪声和状态的相关性,该估计器的估计是有偏的。提出的强跟踪滤波器(STF)通过强制白化残差具有自适应地校正估计偏差和迅速跟踪状态变化的能力。STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。(Passive target tracking is widely used in the pseudo-measurement transform estimator (PLE) has a good error convergence. However, due to the equivalent noise and the relevance of state, the estimator is a biased estimate of. Raised strong tracking filter (STF) has adopted mandatory bleaching residuals adaptively estimated bias correction and rapid tracking of the status change. STF has been estimated in the time-delay nonlinear systems, fault diagnosis and fault-tolerant control has been achieved very good results.)
- 2008-03-10 09:18:14下载
- 积分：1
