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OFDMChannelEstimation
MATLAB环境下,OFDM信道估计算法的仿真程序(MATLAB environment, OFDM channel estimation algorithm for the simulation program)
- 2010-06-06 15:19:02下载
- 积分:1
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reup
语音增强及其消噪能力研究,详细到位,适合初学者(Speech enhancement and de-noising ability to study in detail in place, suitable for beginners)
- 2009-04-28 08:42:23下载
- 积分:1
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Walshmatlab
离散Walsh函数一个新的实现和防真的方法,用的是MATLAB工具(discrete function of the realization of a new defense and really, is using the MATLAB tool)
- 2007-04-27 22:14:48下载
- 积分:1
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image_segmentation_with_the_twodimensinal_entropy
最大二维信息熵原理;改进的遗传算法;基于阈值的图像分割
包括一个完整的matlab源代码和几个论文原理介绍pdf文件
(Two-dimensional maximum entropy principle improved genetic algorithm threshold based on image segmentation matlab, including a complete source code and the principle of introducing a number of papers pdf files)
- 2009-05-29 20:10:11下载
- 积分:1
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Multiple-Sensor
program is used to transfer data in a secure manner in wireless sensor network
- 2013-08-22 12:55:10下载
- 积分:1
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zxxw
最小相位序列的最小相位法复倒谱的实验程序(Minimum phase sequence of the minimum phase method Complex Cepstrum Experimental procedures)
- 2007-11-25 23:31:32下载
- 积分:1
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Nhom5
matlab demo for image compression by wavelet transform
- 2010-11-25 16:56:36下载
- 积分:1
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ODEs-numerical-solutions-by-MATLAB
说明: 常微分方程的MATLAB解法教程详解,包含ODE45等经典函数的例子(Detailed tutorials in how to get Solution of Ordinary Differential Equations by MATLAB , includingclassic example of a function ODE45,ode23,etc)
- 2011-03-15 17:54:40下载
- 积分:1
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《粒子滤波原理及应用MATLAB仿真》程序
该文档是《粒子滤波原理及应用MATLAB仿真》一书的配套例程,对于学习粒子滤波算法的MATLAB实现很有帮助(This document is a companion routine to the book Particle Filtering Theory and Application of MATLAB Simulation. It is helpful for learning MATLAB implementation of particle filter algorithm.)
- 2018-04-05 16:01:28下载
- 积分:1
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基于PCA的SVM分类
选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分:1