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matlab
语音识别预处理matlab实现，包括端点检测，预加重，加窗(Speech recognition pre matlab implementation, including endpoint detection, pre-emphasis, windowing)
- 2010-08-14 17:00:12下载
- 积分：1
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GM-PID
这是基于于ＧＭ（０,１）模型的二级倒立摆控制的ｓｉｍｕｌｉｎｋ仿真程序，它包括建模和仿真程序(This is based on in GM (0, 1) model of the secondary inverted pendulum is control of simulink program, it includes modeling and simulation program
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- 2012-04-13 09:21:05下载
- 积分：1
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61111210
matlab de 课程设计报告书 很实用哦，里面有编制好的代码 和图片(just like it)
- 2009-11-09 09:54:12下载
- 积分：1
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fingeridentify
It is mainly used for fingerprint recognition in matlab
- 2013-11-12 16:57:00下载
- 积分：1
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simulink_SpreadSpectrum1
天线方向图的波达方向，用于描述回波的方向图6，可以用于初学者学习使用(DOA antenna pattern, used to describe the echo pattern 6 can be used for beginners to learn to use)
- 2010-11-13 18:22:31下载
- 积分：1
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lab1
介绍MATLAB处理语音信号的基本方法，如打开、保存、录音(MATLAB introduce the basic speech signal processing methods, such as open, save, sound recording)
- 2008-05-18 19:43:31下载
- 积分：1
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chip_histogram_features
特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征(Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum)
- 2011-05-25 23:07:32下载
- 积分：1
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GJmohu
改进后的基于模糊控制理论的变电站电压无功控制方法。(Improved voltage and reactive power control method based on fuzzy control theory substation.)
- 2012-05-09 10:46:39下载
- 积分：1
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happybirthday
利用matlab演奏的生日快乐歌，别有一番风味，不妨一听(Using matlab played Happy Birthday, do not have a flavor, might one)
- 2014-02-08 11:33:53下载
- 积分：1
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Harris-corner
Harris采用了一种新的角点判定方法。矩阵M的两个特征向量l1和l2与矩阵M的主曲率成正比。Harris利用l1, l2来表征变化最快和最慢的两个方向.若两个都很大就是角点,一个大一个小就是边缘,两个都小就是在变化缓慢的图像区域.(Harris adopted a new method of determining the corner. Matrix M of two feature vectors l1 and l2 with the matrix M is proportional to the principal curvatures. Harris use l1, l2 to characterize changes in the fastest and slowest in two directions. If both are great that corner, a little is a big edge, both small change is slow in the image area.)
- 2014-11-08 11:56:19下载
- 积分：1
