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blind
ofdm的盲同步,很好的文章,需要的就看看吧(OFDM Blind Carrier Offset Estimation ESPRIT)
- 2009-03-17 19:07:37下载
- 积分:1
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EdgeEffectProcessingTechniqueinEMDAlgorithm.pdf
EMD算法中边界效应处理技术EdgeEffectProcessingTechniqueinEMDAlgorithm(EdgeEffectProcessingTechniqueinEMDAlgorithm
EdgeEffectProcessingTechniqueinEMDAlgorithm)
- 2010-11-15 12:58:46下载
- 积分:1
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Queuing-Systems-in-a-small-clinic
This report explains the queuing systems in a small clinic which has two types of queuing systems and can be denoted by Kendall’s notation M/U/1 and M/M/2.
The confidence intervals for necessary queuing parameters are calculated for both of the queuing system. Finally in the view of the results the critical issues are discussed.
- 2013-09-05 05:43:29下载
- 积分:1
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102src
maplestory version 102 sourcecode
- 2014-12-03 05:40:59下载
- 积分:1
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feng4
基于全通函数的线性相位参量均衡器的设计,一阶低通均衡器到二阶带通均衡器,对峰值均衡的实际值与理论值进行仿真(All pass function for linear phase parametric equalizer design based on, first order low pass equalizer to second-order passband equalizer, on peak equilibrium of the actual value and theoretical value simulation)
- 2016-04-06 10:04:04下载
- 积分:1
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mSequenceGen
a m sequence generator
- 2012-09-20 22:24:49下载
- 积分:1
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2011jian--mo-da-sai
2011年全国大学生数学建模大赛A题,8种主要重金属元素在该城区的空间分布(National Mathematical Modeling Contest A title in 2011, eight major heavy metal elements in the spatial distribution of the city)
- 2013-05-14 10:28:02下载
- 积分:1
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LDPC_Turbo_convolution_compare
文件中包含了LDPC码、卷积码、turbo码3种编码方式在相同码率下,性能的对比图,并且包含实验报告和各个文件功能的说明。(File contains LDPC code, a convolutional code, turbo code three kinds of encoding at the same rate, performance comparison chart, and contains test reports and feature descriptions for each file.)
- 2021-05-06 16:32:23下载
- 积分:1
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computer-control-technology
关于计算机控制技术的经典教材,温钢云、黄道平 编著,华南理工大学出版社,2001.8月出版。(Classic textbook on computer-controlled technology, temperature steel cloud, the ecliptic, South China University of Technology Press, 2001.8.)
- 2013-02-25 17:26:56下载
- 积分:1
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CS4VM
In this paper, we study cost-sensitive semi-supervised
learning where many of the training examples are unlabeled
and different misclassification errors are associated
with unequal costs. This scenario occurs in many
real-world applications. For example, in some disease
diagnosis, the cost of erroneously diagnosing a patient
as healthy is much higher than that of diagnosing a
healthy person as a patient. Also, the acquisition of labeled
data requires medical diagnosis which is expensive,
while the collection of unlabeled data such as basic
health information is much cheaper
- 2014-10-21 00:18:03下载
- 积分:1