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三维阻抗及光学重建程序包_ed_3d_v1
用来实现三维阻抗及光学断层成像重建的matlab程序(used 3D impedance and optical tomography reconstruction procedures Matlab)
- 2005-05-04 11:52:49下载
- 积分：1
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Markov-Chains-examples-with-codes
马尔科夫链的matlab仿真,马尔可夫模型（Markov Model，MM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。(Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.)
- 2013-07-25 07:29:31下载
- 积分：1
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FIR-filter-design
FIR滤波器的设计——使用Matlab和CCS(FIR filter design used matlab and ccs)
- 2012-08-13 19:32:13下载
- 积分：1
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compressorINT16clip2
模拟语音信号的动态范围压缩算法的matlab源码(Yiu Pang音portability cavity ulcers信rabble-hung Yu Yang围压stand for goblets算Daitou tungsten cavity matlab)
- 2007-08-23 11:32:04下载
- 积分：1
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59729
The following Matlab project contains the source code and Matlab examples used for 2 d fir filter design. 2-D zero phase digital FIR filter using Hamming Window
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
- 2014-09-04 00:05:09下载
- 积分：1
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Jakes-Model
MATLAB无线通信信道中Jakes模型仿真，可以显示Jakes信道模型的时域特性，幅度相位分布，自相关函数和多普勒谱(Jakes model generation wireless communication channel can display time-domain characteristics Jakes channel model, the amplitude and phase distribution of the autocorrelation function and Doppler spectrum)
- 2013-12-05 19:46:57下载
- 积分：1
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PSO
Here is a very simple version of PSO in Matlab. PSO is a very popular, population based metaheuristic algorithm that mimics swarming behavior/intelligence in order to solve optimization problems.
- 2013-01-08 06:09:46下载
- 积分：1
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1673-3851(2011)03-0384-05
k近邻算法和KALMAN滤波相结合的一个实例论文(k nearest neighbor algorithm and the KALMAN filter paper an example of combining)
- 2011-05-20 14:35:17下载
- 积分：1
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data
THIS IS A DATA OF SOURCE YOU MUST TO ATTEND,BECAUSE IT S VERY IMPORTANT TO COMPLETED YOUR FILE MATLAB
- 2014-12-06 00:00:48下载
- 积分：1
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fftrl
这是一个方便的计算FFT的程序带坐标的fft变换(It s a program for fftrl,)
- 2010-06-12 22:42:58下载
- 积分：1
