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speech_enhancement_matlab_by_lx
实验结果表明该算法对非冲击噪声效果良好。
lx_main为主程序,NS_lxwz为噪声估计模块,lxG_wz为增益估计模块,noise_sound为测试用含噪语音。
算法原理参见本人的文章《一种引入延迟的语音增强算法》。(Experimental results show that the algorithm for non-impulsive noise effect is good. lx_main the main program, NS_lxwz for the noise estimation module, lxG_wz for the gain estimation module, noise_sound to test the noisy speech. Algorithm theory see my article " delay the introduction of a speech enhancement algorithm." )
- 2011-06-08 15:32:41下载
- 积分:1
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bp
bp神经网络,神经网络在matlab中的30个应用(30 applications bp neural network, neural network in matlab)
- 2013-04-30 13:59:23下载
- 积分:1
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ADRC_2
二阶自抗扰控制器算法中跟踪微分器、扩张状态观测器和非线性误差反馈率的.m文件和simulink仿真图例。(Second-order tracking differentiator ADRC algorithm, the extended state observer and nonlinear error feedback rate. M file and simulink simulation legend.)
- 2020-07-30 22:38:38下载
- 积分:1
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Client_server-application
Communication Client_server
- 2015-04-06 23:11:58下载
- 积分:1
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CLASSLIBRARY
This file contains a summary of what you will find in each of the files that
make up your tree application.
- 2009-12-15 17:22:02下载
- 积分:1
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apf
说明: 有源电力滤波器(APF:Active power filter)是一种用于动态抑制谐波、补偿无功的新型电力电子装置,它能够对不同大小和频率的谐波进行快速跟踪补偿,之所以称为有源,是相对于无源LC滤波器,只能被动吸收固定频率与大小的谐波而言,APF可以通过采样负载电流并进行各次谐波和无功的分离,控制并主动输出电流的大小、频率和相位,并且快速响应,抵消负载中相应电流,实现了动态跟踪补偿,而且可以既补谐波又补无功和不平衡。(APF:Active power filter))
- 2020-06-21 16:00:01下载
- 积分:1
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SNADRC
说明: pmsm自抗扰控制的S函数编写程序,基于MATLAB编写(The S-function program of PMSM ADRC is based on MATLAB)
- 2019-11-17 10:35:58下载
- 积分:1
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201310031112064238
获取全局唯一标识符GUID值的access事例(Get access cases globally unique identifier GUID value)
- 2014-12-26 02:49:43下载
- 积分:1
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time_index1
刀具在线监测故障信号的时域频域时频域特征提取matlab程序 (Tool-line monitoring of fault signals in time domain frequency domain time-frequency domain feature extraction procedures matlab)
- 2009-01-05 10:13:43下载
- 积分:1
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testcon
一个数学模型的优化
function testcon()
%% 设置初始值,上下限;
x0=[18 13 11]
lb=[3 0.1 7]
ub=[25 1 25]
%% 调用优化求解函数(testcon)
(Optimization of a mathematical model function testcon () set the initial value, the upper and lower limits x0 = [18 13 11] lb = [3 0.1 7] ub = [25 1 25] Call for Function Optimization (testcon))
- 2007-10-18 10:08:29下载
- 积分:1