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proj04_02
中心化后的傅里叶谱，傅里叶频谱和平均值,计算图像的平均值(Fourier spectrum and average value)
- 2010-12-23 15:52:13下载
- 积分：1
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kalmanwhite
运用卡尔曼滤波的知识，给带有噪声的语音信号去噪，变平滑。(Noise reduction by Calman filtering)
- 2017-09-26 11:01:16下载
- 积分：1
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Maple_MATLAB
用Maple和MATLAB解决科学计算问题(Using Maple and MATLAB scientific computing to solve problem)
- 2009-03-24 12:57:07下载
- 积分：1
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MATLAB
说明： 这是一个关于MATLAB编程的PDF文档，希望对大家学习MATLAB编程有所帮助。(This is a pdf about matlab progressing,I hope it will be useful to you!)
- 2010-03-29 20:50:48下载
- 积分：1
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wl12xx
This file is part of wl12xx.
- 2014-08-20 11:28:25下载
- 积分：1
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Visual-CPPand-Matlab
数字图象处理与机器视觉Visual C++与Matlab实现，光盘源代码(Digital image processing and machine vision Visual C++ with Matlab, CD-ROM source code)
- 2013-12-24 12:02:43下载
- 积分：1
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sqrd
Algorithm Flowchart for ZF-QR and ZF_SQRD receiver. The algorithms can be implemented using MATLAB.
- 2014-01-11 23:08:05下载
- 积分：1
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knn1
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2017-08-09 21:06:38下载
- 积分：1
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samadapt
its a ml decoder for alamouti code detection
- 2010-08-07 22:56:45下载
- 积分：1
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SVM_introduction
说明： 支持向量机入门，以精简的语言描述支持向量机算法的原理和功能。(Support vector machine entry, in order to streamline the language to describe the principle of support vector machine algorithm and function.)
- 2011-02-17 16:12:45下载
- 积分：1
