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libsvm-2.84-string
MATLAB版的SVM,使用相对于C来比较的方便,可以试一试(MATLAB version of the SVM, the use of vis-à-vis C to compare the convenience, you can try)
- 2007-11-16 03:08:35下载
- 积分:1
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FIR
程序1实现线性相位FIR低通滤波器;
程序2实现线性相位FIR高通滤波器;
程序3实现用kaiser窗实现带通滤波器。(Program to achieve a linear phase FIR low-pass filter
Program 2 for linear phase FIR high-pass filter
Program 3 Achieved bandpass filter with a kaiser window)
- 2015-03-24 15:31:13下载
- 积分:1
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diffcode
差分编码的实现、信噪比、误码率等等的实现,并且有截图,比较详细的资料。(Differential encoding implementation, SNR, BER, etc. to achieve, and there are shots, more detailed information.)
- 2013-12-27 10:47:11下载
- 积分:1
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10
说明: 音频水印在复倒谱域嵌入水印,采用统计均值调制方法嵌入(Audio watermarking in the complex cepstrum domain embedded watermark embedding using statistical average modulation method)
- 2010-03-28 12:08:42下载
- 积分:1
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datasets
toolbox de MatLab, de analisis lineal discriminante
- 2009-05-20 04:07:30下载
- 积分:1
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变换分析一段脉搏波 hhtmai
hilbert-huang 变换分析一段脉搏波
运行maihht即可(hilbert- KE3 transform a pulse wave can run maihht)
- 2007-05-04 01:54:32下载
- 积分:1
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yuanbaozidongji
描述HIV 扩散,其有独特的传播路径,通过MATLAB仿真模拟,可以很生动的发现规律。(Description HIV proliferation, the spread of its unique path through MATLAB simulation, can be very vivid discovery rule.)
- 2014-02-08 18:45:54下载
- 积分:1
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fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R,然后从和R同类的样本中寻找最近邻样本H,称为Near Hit,从和R不同类的样本中寻找最近样本M,称为Near Miss,根据以下规则更新每个特征的权重:
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻是有益的,则增加该特征的权重;反之,如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻起负面作用,则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分:1
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tyhuk
Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
- 2010-10-18 22:13:25下载
- 积分:1
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UKFT
this program is to use Bayesian algorithms to achieve a treatment process
- 2010-10-19 01:29:51下载
- 积分:1