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BNonlearfilter
给于MATLAB 环境下的非线性滤波器。此设计中用到了，混合网络建模。B样条网络和对角递归神经元网络。(In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network.)
- 2020-10-14 14:47:30下载
- 积分：1
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yunsuanfu
实验：
有两个个矩阵a和b，均为2行3列。 重载运算符“+”，
（1）使之能用于矩阵的相加。如c=a+b。
（2）如果参与运算的两个操作数中一个是整数即矩阵+3或3+矩阵形式，进行加法运算也能得出和。
（3）定义自减运算符的前置（i++）和后置（++i）重载编写相应程序并验证它的正确性。
(i think it s a goog for many people)
- 2009-12-28 10:33:54下载
- 积分：1
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MATLAB6.5
该书系统地介绍了matlab在小波分析中使用方法，简单地介绍了小波分析的原理，及采用matlab如何实现小波分析!(The book systematically introduces matlab in the use of wavelet analysis method, a simple introduction to wavelet analysis theory, and the use of wavelet analysis matlab how to achieve!)
- 2008-06-15 00:17:18下载
- 积分：1
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time-toolbox
这是一个时间序列分析程序包
这是一个时间序列分析程序包(This is a time series analysis package is a time series analysis package)
- 2010-05-27 15:42:53下载
- 积分：1
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synthetic-seismogram
地震勘探中，正演合成地震记录；通过子波（这里有几种不同子波模型）与定义好的反射系数进行褶积运算，实现地震记录的人工合成。(Seismic exploration, modeling synthetic seismic record via wavelets (there are several models of different wavelets) defined reflection coefficient convolution operation, realization of synthetic seismic record.)
- 2015-01-29 13:28:13下载
- 积分：1
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my-face-detection
Detect face parts in real time using Matlab.
- 2013-05-05 06:09:54下载
- 积分：1
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matlab
porter stemmer developed in matlab based on 1980 porter stemmer algorithm
- 2013-05-05 19:24:47下载
- 积分：1
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dct
dct域变换，用于图像处理，最纯粹的变换过程，配有详细的步骤说明(dct domain transform for image processing, purest transformation process, with a detailed description of the steps)
- 2015-03-12 20:44:55下载
- 积分：1
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wavetrap
用matlab语言实现陷波器，达到消除指定频率的谐波的功能(Language with matlab notch filter, to eliminate the function of the specified frequency harmonics)
- 2011-01-04 10:31:57下载
- 积分：1
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SVM
支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)
- 2010-10-25 17:19:32下载
- 积分：1
