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base2fft
根据DFT的基二分解方法，可以发现在第L（L表示从左到右的运算级数，L＝1，2，3…M）级中，每个蝶形的两个输入数据相距B=2^(L-1)个点，同一旋转因子对应着间隔为2^L点的2^(M-L)个蝶形。从输入端开始，逐级进行，共进行M级运算。在进行L级运算时，依次求出个2^(L-1)不同的旋转因子，每求出一个旋转因子，就计算完它对应的所有的2^(M-L)个蝶形。因此我们可以用三重循环程序实现FFT变换。同一级中，每个蝶形的两个输入数据只对本蝶形有用，而且每个蝶形的输入、输出数据节点又同在一条水平线上，所以输出数据可以立即存入原输入数据所占用的存储单元。这种方法可称为原址计算，可节省大量的存储单元。附件包含算法流程图和源程序。(err)
- 2008-04-20 23:11:05下载
- 积分：1
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color_segment
color segmentation and bounding box from a video sequence in matlab
- 2013-10-30 03:50:12下载
- 积分：1
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MATLABxct_classic_simulation_programming_source_co
MATLABxct经典仿真程序设计源码MATLABxct classic simulation programming source code(MATLABxct classic simulation programming source MATLABxct classic simulation programming source code)
- 2010-08-02 12:47:11下载
- 积分：1
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MATLAB7.X
《深入浅出MATLAB7.X混合编程》主要讲了MATLAB与其他应用软件的接口，并附有实例源码(" Easy to understand MATLAB7.X hybrid programming," say the main MATLAB interface with other applications, together with examples of source)
- 2010-08-05 15:21:23下载
- 积分：1
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mathematica
mathmatics学习资料,比较实用,亲身感受(mathmatics learning materials, more practical, personal experience)
- 2014-12-03 10:53:28下载
- 积分：1
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5
说明： 仿真结果表明，应用LMS算法的自适应滤波器不仅可以实现对信号噪声的自适应滤除，还能用于系统识别。(Results of simulation show that this kind of adaptive filter not only can be used to filter the signal noise, but also recognize the system.)
- 2012-06-10 15:00:59下载
- 积分：1
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ALG074
ITERATIVE REFINEMENT ALGORITHM
To approximate the solution to the linear system Ax=b when A is
- 2010-09-20 18:17:22下载
- 积分：1
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M
说明： 基于MATLAB编程的图像处理程序——低通滤波模拟编程(MATLAB based image processing program- low-pass filter simulation program a)
- 2010-06-23 08:00:24下载
- 积分：1
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ais_youhua
免疫优化，比较经典好用的优化程序，是matlab的(Immune Optimization, more classic-to-use optimization procedures, is the matlab)
- 2008-06-04 00:46:07下载
- 积分：1
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SVM
In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.
- 2014-12-14 21:33:26下载
- 积分：1
