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transferfn2
transfer function model
- 2013-11-03 17:48:45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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SVM Regression & BP ANN
说明: matlab
SVM及ANN预测,这里是源代码,这里是源代码,这里是源代码(SVM and ANN prediction, here is the source code, the source code, here is the source code.)
- 2020-06-17 22:20:01下载
- 积分:1
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speech-enhancement
本文介绍了一种基于自适应滤波算法的语音信号增强处理的方法。文中在扼要介绍了目前常用的语音增强方法的基础上,重点介绍了采用LMS算法的自适应语音增强系统。对三种LMS算法(基本LMS算法,符号误差LMS算法及NLMS算法)进行仔细研究,并用Matlab仿真实现,验证比较了三种算法的语音增强效果。(In this paper, a system of speech enhancement is discussed based on self-adaptive algorithm. On the basis of presenting an overview of a number of speech enhancement is described in detail based LMS algorithm.This paper researches sorts of LMS algorithms(the basic LMS algorithm,the sign error LMS algorithm and NLMS algorithm) in detail, and compares the three algorithm of speech enhancement effect with Matlab simulation validation.)
- 2012-04-30 19:53:20下载
- 积分:1
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fdvolfft
Compute fractal dimensions FDS and intercepts ICS of a 3D image IM using FFT and draw rose plots of FDS and ICS
- 2012-05-13 22:27:25下载
- 积分:1
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SingleRelaxation
Single Relaxation: Linear Discriminants
- 2012-05-19 05:54:44下载
- 积分:1
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GAPID
说明: 基于遗传算法的PID参数整定。由系统的阶跃响应曲线可见,系统是稳定的,且调节时间较短。(PID parameter tuning based on genetic algorithm.)
- 2021-01-05 20:08:54下载
- 积分:1
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algebraandcoding
万哲先的经典版本《代数和编码》,对于编码方面学习具有重要意义。(Zhe-Xian Wan classic version algebra and coding, for the coding to learn of great significance.)
- 2010-03-08 15:50:32下载
- 积分:1
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VOQ_switch_orginal
本程序是Matlab的Simulink模块程序。模拟虚拟输出队列。是通信建模的入门模块。欢迎大家学习交流(This program is Matlab' s Simulink module program. Analog virtual output queues. Getting Started modules in communications modeling. Welcome to the Learning Exchange)
- 2020-12-27 17:39:02下载
- 积分:1
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traindiffevol
TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs,
NET - Neural network.
Pd - Delayed input vectors.
Tl - Layer target vectors.
Ai - Initial input delay conditions.
Q - Batch size.
TS - Time steps.
VV - Either empty matrix [] or structure of validation vectors.
and returns,
NET - Trained network.
TR - Training record of various values over each epoch:
TR.epoch - Epoch number.
TR.perf - Training performance.
TR.vperf - Validation performance.
TR.tperf - Test performance.
TR.mu - Adaptive mu value.
- 2013-04-22 06:17:04下载
- 积分:1