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YUYINXINH
第7章语音信号的减噪176
7.1自适应滤波器减噪176
7.1.1LMS算法基本原理176
7.1.2基本LMS自适应算法178
7.1.3LMS的自适应陷波器181
7.2谱减法减噪184
7.2.1基本谱减法184
7.2.2改进的谱减法187
7.3维纳滤波法减噪195
7.3.1维纳滤波的基本原理195
7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197
7.3.3维纳滤波的MATLAB例子199(Noise Chapter 7 of the speech signal noise reduction algorithm for adaptive filters 176 7.1 Fundamentals 7.1.2 Basic LMS adaptive algorithm 176 178 7.1.3LMS of 176 7.1.1LMS adaptive notch filter 181 7.2 184 7.2 spectral subtraction noise reduction 184 7.2.2 .1 basic spectral subtraction improved spectral subtraction method of noise reduction Wiener filter 187 195 7.3 Fundamentals 7.3.1 195 7.3.2 Wiener filtering Wiener filter noise of concrete steps and functions WienerScalart96197 7.3.3-dimensional MATLAB examples Carolina filter 199)
- 2014-04-30 15:58:36下载
- 积分：1
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chazhinihe
插值与拟合回归，可以进行多元拟合线性回归等功能的实现，(Interpolation and fitting, can undertake multivariate regression fitting linear regression, etc, the realization of the function of
)
- 2011-04-28 09:04:31下载
- 积分：1
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EMDprogram
EMD主程序，将EMD的核心思想应用Matlab程序实现，其他相关程序可再联系本人。(EMD main program, the core idea EMD Matlab program. other related procedures can be linked himself.)
- 2007-05-22 15:22:18下载
- 积分：1
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pedulum_lqr
改进之前做过的倒立摆控制程序，使用lqr控制并分析其性能(Improvements done before the inverted pendulum control procedures, the use of control and analysis of its performance lqr)
- 2011-12-20 09:52:54下载
- 积分：1
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HalfbridgeElectricalSource
利用PWM脉宽控制的半桥电路实现的DCDC变换器(The converter that use the PWM to control the voltage of the output。 )
- 2020-09-07 08:28:04下载
- 积分：1
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voicebox
A section focussing specifically on the linear prediction of speech then begins.
The anatomical process of speech production is described, followed by
an introduction to a theoretical linear model of the process
- 2011-01-24 22:54:13下载
- 积分：1
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cooperative
cooperative diversity
- 2011-05-16 22:15:22下载
- 积分：1
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ejdlbmohukongzhi
二级倒立摆的模糊控制，使用前将fis文件导入工作空间(Double inverted pendulum fuzzy control, the use of the work before fis file into space)
- 2011-10-02 18:43:35下载
- 积分：1
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gradient_compute
ML gradient computation
g = grad_ml(X,x,r)
g = gradient vector
X = matrix for receiver positions
x = 2D position estimate
r = TOA measurement vector
sigma2 = noise variance vector
- 2015-01-13 00:22:09下载
- 积分：1
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OPNET--application
仅供学习研究使用。对仿真主要特性、建模机制及仿真步骤进行了深入阐述，最后给出了在预测网络性能方面的一个应用实例。(For study and research use. The main characteristics, modeling and Simulation of mechanism and the simulation steps in detail, finally, an application example in the prediction of network performance.)
- 2015-04-03 14:59:13下载
- 积分：1
