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speech
运用matlab仿真实现语音增强和噪声消除的功能(Matlab simulation using voice enhancement and noise reduction features)
- 2010-05-12 16:26:05下载
- 积分:1
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dd0aca
平均标准偏差,一个计算用的Matlab小程序,希望大家喜欢(The average standard deviation, a calculation using a small Matlab program, I hope everyone likes)
- 2009-11-07 11:06:47下载
- 积分:1
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dianhuhangui
这是电力行业的一个源码
用MatlAB写的
非常不错(This is dianli hangye software
hope you enjoy it!!)
- 2009-05-12 15:31:54下载
- 积分:1
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Untitled
说明: 滤波处理,对信号进行滤波处理,提取信号的故障特征频率(Filtering, filtering the signal, extract the fault characteristic frequency of the signal)
- 2010-04-17 12:03:03下载
- 积分:1
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matlab-license-plate-recognition
matlab完整源代码,可以实现车牌自动识别。(Matlab complete source code, can realize automatic license plate recognition.)
- 2015-03-25 17:07:26下载
- 积分:1
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mat_into_hdr
把mat文件 转换成 hdr格式文件。可用SPM调用。(Put into a mat file hdr files. SPM can be used to call.)
- 2021-01-11 21:48:49下载
- 积分:1
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Sonar_Exp_1_1
声纳技术 实验课
实验 编程规范的一个例子 内容:y=2x+1,x=s+n 求y与n的关系(Sonar technology)
- 2012-04-15 09:15:05下载
- 积分:1
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MMSE
解相关及MMSE和传统检测器比较的仿真程序包括有远近,无远近,有躁,无躁。(decorrelation and MMSE and traditional Detectors comparison simulation program including length, no distance, a rash, without rashness.)
- 2021-04-20 14:58:50下载
- 积分:1
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nlopt-2.2.3.6.1-dll
内含结构拓扑优化的众多数学规划方法,其中包含最小二乘法、移动渐近线法等等(The file includes many methods for topology optimization,such as the method of moving asymptotes.)
- 2013-03-12 20:15:19下载
- 积分:1
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DSP
任务:
1) 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线(参考PPT2.1第17页的两幅图);
2) 写出最陡下降法以及LMS算法的计算公式(取 );
3) 用MATLAB产生方差为0.05, 均值为0白噪音S(n),并画出某次采样得到的波形(即产生任意一个噪声随机序列);
4) 根据 2)中的公式,并利用 3)中产生的S(n),在 1)中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线(参考PPT2.1第17页的右下图的曲线1和曲线2)。
5)用MATLAB计算并画出LMS法时 随时间n的变化曲线(对应S(n)的某一次的一次实现)和e(n)波形;
注意:某一次实现的结果并不能从统计的角度反映实验的结果 的正确性,为得到具有统计特性的实验结果,可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时,J(n)的100次实验结果的平均值随时间n的变 化曲线(即 生成随机噪声信号并计算结果,重复执行100次, 求平均结果)。
6)在 1)中的误差性能曲面的等值曲线上,叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线;
(Task:
1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 )
2 ) Write the steepest descent method and the LMS algorithm formula ( take )
3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence )
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) .
5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform
Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)
- 2013-11-08 20:09:06下载
- 积分:1