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lda-0.1-matlab
说明： lda是一个集合概率模型，主要用于处理离散的数据集合，目前主要用在数据挖掘（dm）中的text mining和自然语言处理中，主要是用来降低维度的(lda is a set of probability models, mainly for dealing with discrete data sets, the key used in data mining (dm) in the text mining and natural language processing, is mainly used to reduce dimension)
- 2010-04-26 16:21:29下载
- 积分：1
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aloha_s
用matlab编程实现纯aloha算法和时隙aloha算法吞吐量的对比(Matlab programming with pure aloha aloha algorithm algorithm and the throughput comparison of slot)
- 2021-03-01 21:49:34下载
- 积分：1
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ch5example6
调频立体声接收机模型 对相应的立体声解码过程进行建模和仿真。设左右声道的信号分别为1000Hz和2000Hz的单频测试信号。 (FM stereo receiver model for the corresponding stereo decoding process modeling and simulation. Set left and right channel signals were 1000Hz and 2000Hz single frequency test signal.)
- 2010-05-26 09:43:17下载
- 积分：1
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OSTU
是自适应阈值的分割，主要对图像用matlab进行分割图像，确定图像想要的东西(Adaptive segmentation threshold, the main image to image segmentation using matlab, determine what image you want)
- 2014-01-05 18:13:18下载
- 积分：1
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matlabwavelet
张德丰基于MATLAB的系统分析与设计——小波分析+范例源码；详细介绍包括小波分析工具箱的的使用（范例代码），小波去噪，图像压缩，并范例实现。另外还有小波包分析技术的理论及应用(Zhang Defeng MATLAB-Based System Analysis and Design- wavelet analysis+ example source details, including the use of wavelet analysis toolbox (sample code), wavelet denoising, image compression, and examples of implementation. There is also the theory of wavelet packet analysis and application)
- 2010-10-18 19:05:53下载
- 积分：1
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matlab-code
it is amlp code for image segmentation
- 2011-02-15 17:58:45下载
- 积分：1
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123
用Dirichlet法求解Laplace方程的MATLAB程序(Laplace equation with Dirichlet method of MATLAB program)
- 2010-05-20 15:15:55下载
- 积分：1
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5bitsm
当空间调制系统传输5bits信息时，采用8QAM，16QAM调制方式的比较。(When the spatial modulation 5bits information transmission system, the use of 8QAM, 16QAM modulation of the comparison.)
- 2013-08-27 17:49:40下载
- 积分：1
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Modeling-and-estimation
建模与估计参考教材它涉及系统辨识、状态估计、时间序列分析、多传感器信息融合四门学科及它们相互交叉、相互渗透的边缘学科和领域。(Modeling and estimation)
- 2015-01-28 20:46:22下载
- 积分：1
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Machine_Learning
包括无监督和监督的机器学习技术
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naï ve Bayes Classification
• Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including:
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naï ve Bayes Classification
• Linear, logistic and nonlinear regression)
- 2013-11-18 14:45:41下载
- 积分：1
