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WienerScalart
基于Wiener滤波的语音消噪Matlab源程序
调用方式：
output=WienerScalart96(signal,fs,IS)
signal－－输入含噪语音
fs－－－－语音信号采样率
IS－－－－起始静音端，用来估计噪声方差（秒做单位，默认是0.25秒） (Wiener filter-based de-noising of the voice call Matlab source code the way: output = WienerScalart96 (signal, fs, IS) signal- voice input with noise fs---- voice signal sampling rate IS---- Start mute end used to estimate the noise variance (units of seconds to do, the default is 0.25 seconds))
- 2007-10-21 17:40:32下载
- 积分：1
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myfft64
simulation 64point FFT using matlab
- 2013-03-17 22:52:27下载
- 积分：1
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rgb_meanshift
matlab均值漂移算法源码，在matlab中可以实现任何avi视频中内容的跟踪(Mean Shift Object Tracking Code)
- 2012-11-25 23:35:44下载
- 积分：1
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TheFirstMatlabHomework
MATLAB 简单程序，源代码。。。 实现图像变换(Simple MATLAB program, the source code. . . Implementation of Image Transform)
- 2010-08-01 11:27:56下载
- 积分：1
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matlab1
matlab高级编程 课本中的源代码 作者谷源涛(" Matlab Advanced Programming," in the source code for textbook authors Gu Yuan Tao)
- 2009-11-10 23:37:44下载
- 积分：1
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NEWHARRIS
利用HARRIS矩阵实现角点提取，适用于多种图像(HARRIS matrix realization of the use of corner extraction, applied to a variety of image)
- 2009-04-09 11:34:45下载
- 积分：1
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IIR_background_extraction
说明： 该程序涉实现目标检测功能，IIR滤波器的背景估计法的背景相减目标检测 && canny(this is a goal detection program, a IIR filter )
- 2010-10-08 17:12:37下载
- 积分：1
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xiebiyizhi
基于matlab的电力系统谐波抑制研究。对一座110kv变电站进行建模，并对谐波进行分析。介绍了利用无功补偿进行谐波抑制的措施。(Matlab-based Power System Harmonic Suppression. On a 110kv substation modeling, and harmonic analysis. Introduced the use of reactive compensation for harmonic suppression measures.)
- 2010-05-12 18:00:29下载
- 积分：1
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MATLAB-programming
经典书籍——matlab编程技术（徐金明主编）(matlab programming)
- 2013-01-29 12:01:02下载
- 积分：1
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PID
多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)
- 2015-03-22 13:42:37下载
- 积分：1
