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fknn
KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现(KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab)
- 2007-12-18 13:51:21下载
- 积分：1
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BCJRForTurbo
BCJR decoder，inputs are source bit,coded bit, and a priori, outputs are source bit and coded bit (a posteriori)(There s an array named table inside, describe the trellis, five column is:
start state, destination state, source bit,coded bit 1,coded bit 2, respectively.)
- 2011-01-13 10:52:46下载
- 积分：1
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AChartEngineDemo
谷歌AChartEngine图表库示例代码 画各种图表 内已有jar包(Google AChartEngine chart library sample code within the chart has been drawn various jar package)
- 2014-11-07 09:16:53下载
- 积分：1
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BCJRalgorithm
BCJR算法，解决卷积编码的译码问题，软入软出，可以为后续程序提供软值信息，程序可以直接运行，有详细注释(BCJR algorithm to solve the problem of convolution coding decoding, soft-in soft-out, can provide soft value information for follow-up procedures, the program can be run directly, there are detailed notes)
- 2015-01-15 10:09:22下载
- 积分：1
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sea_clutter
二维K分布海杂波模型仿真，配以解说使用视频(Simulation of two-dimensional K distributed sea clutter model
)
- 2021-03-18 17:09:20下载
- 积分：1
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Outlier_Test
我上载的最后一个空间数据挖掘的例外点检测程序（共4个）,用matlab编的。(Finally, I uploaded a spatial data mining exception detection procedures (a total of 4), using matlab series.)
- 2007-09-13 09:39:50下载
- 积分：1
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outrage_probabilty
基于协作的认知无线电中，AF，DF协议及未采用协作分集技术的中断概率的实验仿真程序(In collaborative spectrum sensing cognitive radio, AF, DF protocol and did not use cooperative diversity outage probability experiment simulation program)
- 2013-07-29 11:27:25下载
- 积分：1
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MATLABandSIMULINK
详细介绍了MATLAB语言精要及动态仿真工具SIMULINK，希望大家喜欢。(detail the essence of MATLAB simulation and dynamic simulation tool, hope you like them.)
- 2007-06-22 09:34:23下载
- 积分：1
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code3
matlab gui设计学习手册第三章源码(matlab gui)
- 2012-06-23 13:06:38下载
- 积分：1
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Tsteepest_desh
这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法.
(The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)
- 2012-08-20 07:27:17下载
- 积分：1
