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catalog
MATLAB比较常用的例子,这里举了100个各种方面的例子,自己总结的,这是目录!(Commonly used MATLAB examples cited here, 100 examples of the various aspects of their summing up, which is the directory!)
- 2009-06-02 22:34:13下载
- 积分:1
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voice3
Homomorphic Analysis
- 2011-11-10 20:11:34下载
- 积分:1
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Matlab--
Matlab得基础教程,其在高等数学,线性代数,数值分析中应用和实现,以及较经典的数学建模。(Matlab was based tutorial, its higher mathematics, linear algebra, numerical analysis and implementation of applications, as well as more classical mathematical modeling.)
- 2013-12-20 20:36:56下载
- 积分:1
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VENSFD
元胞自动机模型,是用matlab编程,花了很多时间(Cellular automata model is used matlab programming, spend a lot of time)
- 2014-02-07 21:27:45下载
- 积分:1
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gdfvqand
用于时频分析算法,预报误差法参数辨识-松弛的思想,迭代自组织数据分析,加入重复控制,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,各种资源分配算法实现,信号维数的估计。( For time-frequency analysis algorithm, Prediction Error Method for Parameter Identification- the idea of relaxation, Iterative self-organizing data analysis, Join repetitive control, PV modules contain, MPPT module, BOOST module, inverter module, Various resource allocation algorithm, Signal dimension estimates.)
- 2016-04-02 22:22:44下载
- 积分:1
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105230340DQPSK
MIMO系统的QPSK的matlab仿真(MIMO system matlab simulation of QPSK)
- 2009-04-29 17:40:34下载
- 积分:1
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lpcc
这是基于matlab的关于LPCC (Linear Predictive Cepstral Coding)(线性预测倒谱系数) 的代码,对大家理解有一定帮助。(This is based on the matlab LPCC (Linear Predictive Cepstral Coding) (Linear Predictive Cepstral) code for us to understand some help.)
- 2013-11-18 16:33:51下载
- 积分:1
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load-prediction
根据给定的每15min预测一次的负荷数据,利用灰色预测GM(1,1)理论进行预测,并分别预测一周内周末和工作日的负荷变化情况,最终形成负荷变化曲线(According to the given load once every 15min forecast data, the gray prediction GM (1,1) theory to predict, and are predicted load changes within a week on weekends and weekdays, eventually forming the load curve)
- 2021-03-21 16:59:17下载
- 积分:1
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dct
说明: 在离散余弦变换下实现信号的稀疏分解,matlab环境下可以简单实现(realize sparse Decomposition with dct)
- 2011-03-15 15:57:33下载
- 积分:1
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psobp1
只要输入自己需要的数据就可实现PSO优化bp的程序(Just enter the data they need can be achieved PSO optimization procedures bp)
- 2011-05-12 14:13:33下载
- 积分:1