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于 2010-06-30 发布文件大小:4KB

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下载积分: 1 下载次数: 18

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here some matclab code writtten by me and related on wireless sensor network are uploaded

文件列表：

recv_power.m,821,2006-04-10
run.m,688,2006-04-10
sim1.m,2592,2006-05-07
sim2.m,2768,2006-05-07
topo.m,749,2006-03-30
topo_dist.m,243,2006-02-17
tworay.m,635,2006-01-23
tx_time.m,594,2006-02-15

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FDTD_TM_PC
a photonic crystal waveguide matlab code

2010-06-11 10:06:37下载

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Vocoder by shifting - using FFT. Charge a Audio file .WAV ANS REPRODUCE THE RESPOSE IN .VAW

2011-01-15 06:06:34下载

积分：1
FCBF
This is a one of the data mining algorithm completly made by me. This is based on feature subset selection. One of the popular algorithm of feature selection named Fast Correlation based feature selection algorithm(FCBF).It s complete code is here with other function files used in it. I can provide you with more description of it if needed.

2016-01-25 15:44:28下载

积分：1
exp2
实验二、数字图像伽马校正。MATLAB程序。有报告，有源码。(The second experiment, digital image gamma correction)

2011-01-04 19:22:34下载

积分：1
MATLAB
本压缩包包含一个ppt文件，主要介绍关于MATLAB的用法及入门介绍(This archive contains a ppt file, describes the usage and on introduction to MATLAB)

2011-08-27 20:21:17下载

积分：1
RS
说明：程序\RS.rar MATLAB程序谢谢支持(Program \ RS.rar MATLAB program thanks to support)

2009-10-22 16:06:29下载

积分：1
pofdmft
A multi-band orthogonal frequency division multiplexing (OFDM) ultra wideband (UWB) system is being considered for the IEEE 802.15.3a wireless personal area networks. An enhancement to this system, named pulsed-OFDM, has been proposed to reduce the complexity and power consumption of the transceiver without sacrificing performance. In this paper, we describe a detailed implementation of a pulsed-OFDM transceiver.

2010-10-04 17:29:25下载

积分：1
ID3
MATLAB 决策树算法 ID3算法能输出决策图分析误差(MATLAB ID3 decision tree algorithm can output decision diagram analysis error)

2011-12-01 09:55:35下载

积分：1
regions1
extract regions from image

2021-04-27 13:28:44下载

积分：1
bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

2013-12-21 13:40:52下载

积分：1

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