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askd
基于matlab的ask调制模块，只需要调用，是具体调制过程，可以自己定义键控的进制(Ask modulation based on the matlab module, only need to call the process of modulation is specific to their own definition of the M-ary keying)
- 2009-05-02 16:55:27下载
- 积分：1
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coba-dasar
mencoba program dasar matlab
- 2013-01-26 14:27:36下载
- 积分：1
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CNN
用matlab实现的BP神经网络，比较基础，对已有的语音信号进行分类，留了500个作为检验(Using matlab to achieve the BP neural network basis of comparison, the existing classification of the speech signal, leaving a 500 as a test)
- 2016-08-04 23:22:30下载
- 积分：1
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MATLAB_NNT
使用MATLAB实现BP神经网络（多层前馈神经网络）的设计。(Use MATLAB to achieve BP neural network (multi-layer feedforward neural network) design.)
- 2009-11-08 21:08:39下载
- 积分：1
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07_03
MonteCaro simulation of an M-4 PSK communication system
- 2009-07-07 13:58:44下载
- 积分：1
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imresize
image resize in matlab
- 2015-02-18 05:06:20下载
- 积分：1
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DBSCAN
数据挖掘作业 matlab实现DBSCAN算法 西电(数据挖掘作业 DBSCAN 西电)
- 2020-09-23 18:57:49下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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ga-tool1
基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考
(Based on some of the important matlab m file on genetic algorithm function for readers reference)
- 2013-12-23 14:16:47下载
- 积分：1
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Misc
m.file for image processing applications
- 2011-01-24 17:48:36下载
- 积分：1
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