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matlab信号与系统源码-Exp4
matlab信号与系统源码(Matlab Signal and System FOSS)
- 2005-03-14 12:14:40下载
- 积分：1
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matlab
说明： matlab源程序 包含图像处理 OFDM的系统性能(matlab source code contains the OFDM system performance image processing)
- 2011-04-14 17:18:29下载
- 积分：1
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4GReview
说明： 4G通信技术综述，分析4G通信的优势及挑战，关键技术(Overview of 4G communications, analyzing the advantages and challenges of 4G communications, key technology)
- 2010-05-04 22:39:42下载
- 积分：1
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Implementation
fire detection using neural network
- 2012-01-01 18:54:30下载
- 积分：1
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Vector-programming-OPF
矢量编程潮流及最优潮流数据文件，包含数据格式，标准算例等(Vector programming trends and optimal power flow data file that contains data formats, standards and other examples)
- 2016-03-08 18:29:38下载
- 积分：1
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walsh
基于MATLAB的Walsh函数的产生.在MATLAB程序仿真部分，主要分为6大部分，分别为主函数，发送模块，接收模块，AWNG信道，Walsh函数和差错计数器。(Walsh functions generated based on MATLAB.MATLAB simulation program in part, is divided into six parts, the main functions are sending module, receiver module, AWNG channel, Walsh functions and error counters.)
- 2021-03-06 20:39:30下载
- 积分：1
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signalandsystemMatlab
说明： 信号与系统相关源代码 希望能给大家带来帮助(signal and system)
- 2010-03-22 12:37:58下载
- 积分：1
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bootgmregress
自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)
- 2011-05-21 13:19:38下载
- 积分：1
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pso
粒子群算法解决物流问题，简单易实现，效率高(PSO algorithms for logistics problems )
- 2015-03-03 10:54:40下载
- 积分：1
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ebook2
Theory and Applications of
OFDM and CDMA
Wideband Wireless Communications
Henrik Schulze
and
Christian L¨uders
Both of
Fachhochschule S¨udwestfalen
Meschede, Germany
- 2010-09-13 12:53:32下载
- 积分：1
