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matlab4
这份资料比较详尽的介绍了matlab工具箱函数，里面有常用的函数一目了然，希望对大家有用：）(This information describes a more detailed matlab toolbox functions, there are commonly used functions at a glance, in the hope that useful:))
- 2008-01-05 11:06:33下载
- 积分：1
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receive_antenna
a recieve antenna using matlab
- 2009-07-14 06:38:43下载
- 积分：1
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686711336TCM_Modulation
programme de sttc o bien stbc12341
- 2011-12-01 21:09:49下载
- 积分：1
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CCS2.20Fir
ccs中产生正弦和余弦相加的混合，使用fir滤波得到低频的正弦。滤波器系数由matlab计算。有文档(ccs generated sine and cosine mixed together, the use of low-frequency filtering fir Sine. Filter coefficients calculated by Matlab. Documented)
- 2007-06-29 15:13:49下载
- 积分：1
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AMT
基于GVF和VFC主动轮廓模型代码，代码采用matlab编写，另外有C语言编程提供更快运行速度(VFC based GVF active contour model and code, code written using matlab, another C programming language to provide faster speed)
- 2020-12-20 18:49:08下载
- 积分：1
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ARpuguji
说明： AR过程的线性建模与功率谱估计及教程、实例、实验等内容(The linear AR process modeling and power spectrum estimation and tutorials, examples, experiments, etc.)
- 2011-04-12 19:13:52下载
- 积分：1
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activeContoursDemo
active contour snake technique for segmentaion of gray scale image
- 2015-02-02 16:16:59下载
- 积分：1
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SIToutline
基于MATLAB系统辨识工具箱的离线辨识程序(identification system based on MATLAB toolbox off-line identification procedures)
- 2006-09-25 10:44:32下载
- 积分：1
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WaveExtractforEarthquakeHOSPmatlab
提取地震子波的完整代码，该包中不仅包含了子波提取代码，还包含了高阶统计量工具箱的完整代码，内容丰富，适合下载，欢迎各位亲下载。(Extract the complete code of seismic wavelet, the package includes not only the wavelet extraction code, also contains the complete code, higher order statistics toolbox is rich in content, suitable for download, download welcome dear.)
- 2021-02-22 09:29:42下载
- 积分：1
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SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分：1
