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CDMA
毕业设计的基于8QAM+zcz序列的准同步CDMA通信系统仿真( This article will be given below 8QAM+ ZCZ sequence sets up method and analysis, will further introduce the relevant definitions zero correlation sequence and some properties and characteristics, including non-cycle related, cycle-related, Qi cycle and other characteristics. The reason why is because the study of these theories using this sequence, in the Gaussian channel conditions and system performance in terms of interference is very similar to the synchronization system and the system performance is far superior to an asynchronous system, and the extended sequence comparison the original sequence has better performance.)
- 2014-03-25 21:17:56下载
- 积分：1
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Decouple
this source code is busout matlab
- 2013-08-04 17:40:13下载
- 积分：1
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adaptiveequalisersandsmartantennasystems
adaptive equalisers and smart antenna systems
一篇学位论文，介绍了蜂窝电话系统，自适应均衡，阵列天线系统，并给出了matlab仿真源代码(adaptive equalizers and smart antenna sys tems a graduate thesis on the cellular telephone system, adaptive equalization, array antenna system, given Matlab simulation source code)
- 2007-01-09 15:59:32下载
- 积分：1
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matlab_code1
matlab宝典的源代码 可以直接使用 配套书籍为《matlab宝典》(Collection matlab source code can be used directly supporting books as " matlab Collection" )
- 2013-09-27 15:28:12下载
- 积分：1
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MATLAB1
利用MATLAB中的小波信号对语音信号的基音提取(The use of MATLAB Wavelet signal for pitch extraction of speech signals)
- 2008-03-21 11:37:31下载
- 积分：1
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WMW
无参数估计方法程序，主要用于统计上的估计方法(Nonparametric EMW test)
- 2009-11-22 06:18:09下载
- 积分：1
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MATLAB
这是一个matlab常用函数的参考书。里面包含的matlab常用函数的格式,用法等等。(This book is about the function of MATLAB. )
- 2009-11-27 16:18:13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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Final_v1
谱聚类，效率不错的聚类算法.spectral clustering(spectral clustering)
- 2014-12-11 14:30:08下载
- 积分：1
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faceprotected2
face protected in matlab source code
- 2009-06-09 09:46:32下载
- 积分：1
