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Detection
the signal detection in the MC-CDMA system
- 2009-05-09 20:33:58下载
- 积分：1
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SimuForFMJP
跳频信号是新的通信与雷达信号的一种，其保密性强，不易受噪声干扰，但解调复杂。本程序给出了高斯白噪声情况下调频信号的模拟过程，供通信和雷达专业的师兄弟参考。这是本文论文一部分的程序(FH signal is a new kind of communications and radar signals, and its confidentiality, less susceptible to noise interference, but the demodulation complexity. This procedure gives the Gaussian white noise process of FM analog signals for communication and radar fellow professional reference. This is a part of this thesis, the procedures)
- 2010-12-13 12:14:07下载
- 积分：1
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SpeedRegulationSystemResearchofMiningElectricLocom
矿用电机车电控系统有两种,一种是有触点的电控系统,另一种是脉冲调速系统。以晶闸管为主要元件的脉冲调速系统在矿用电机车中仍大量使用。晶闸管属于半控型器件,其控制极只能控制开通而不能控制其关断,在低速运行时,晶闸管一经导通后,如果不能根据需要关断,则电动机承受全部电压而失去控制,电机车全速运行。本文利用MATLAB软件对矿用电机车晶闸管脉冲调速系统的主电路进行建模并仿真,对影响安全运行的关键元器件进行了详细的分析。仿真结果表明晶闸管脉冲调速系统存在安全隐患。随着电子工业的飞速发展,一种新型的全控型电力器件(绝缘门极晶体管IGBT)开始在工业中得到广泛的应用,脉冲调速电控系统如采用全控型电力器件代替半控型元器件(晶闸管),将会大大简化控制电路。由于控制电路简单,便于实现数字化控制。本文对IGBT的调速原理进行分析,采用IGBT和集成PWM脉宽调制器SG3525为主要元件,设计出了双闭环可逆自动调速系统,并对该系统进行实验验证,实验结果表明该系统优于晶闸管直流调速系统,而且运行稳定,可以很方便实现可逆运行。(Mine electric locomotive electronic control system has two types of electronic control system with contacts, and the other is the pulse speed control system. The pulse thyristor as the main component in the mining electric locomotive speed control system is still widely used. A semi-controlled thyristor type devices, the control can only control a very open and can not control the turn-off, in the low speed, the thyristor turn-on once, if not turned off as needed, then the loss of the motor under full voltage control, motor vehicle running at full speed. In this paper, MATLAB software mining electric locomotive speed control system pulse thyristor main circuit modeling and simulation, the key components of the safe operation of a detailed analysis. Simulation results show that the thyristor pulse control system security weaknesses. With the rapid development of the electronics industry, a new full-controlled power devices (Insulated Gate Transistor IGBT) began to be widely used in indu)
- 2010-12-24 13:40:45下载
- 积分：1
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ComputationalStatisticsMatlab
Matlab的书籍的统计方法计算，这本书包含源代码(Matlab books, on the calculation of statistics, the book contains the source code)
- 2010-05-13 12:08:07下载
- 积分：1
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dc-dc-converters-with-electrical-isolation
Dc-Dc converters with electrical isolation
- 2012-08-13 23:21:21下载
- 积分：1
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2D-Navier-Stokes
Flow to compute the incompressible flow in a lid driven cavity
- 2014-02-14 21:14:17下载
- 积分：1
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feifen
基于混沌的模拟退火算法，实现了对10个数字音的识别，通过虚拟阵元进行DOA估计。( Chaos-based simulated annealing algorithm, To achieve the recognition of 10 digital sound, Conducted through virtual array DOA estimation.)
- 2016-11-11 15:16:34下载
- 积分：1
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svm
svm工具箱，程序与应用实例
scaleForSVM:归一化
pcaForSVM:pca降为预处理
fasticaForSVM:ica降为预处理
等(svm toolbox, procedures and application examples)
- 2014-12-17 15:10:56下载
- 积分：1
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62757
The following Matlab project contains the source code and Matlab examples used for use fourier interpolation to increase sampling of an image. also includes an optional filter. . Zero-pads the FFT of an image up to the desired size, then performs IFFT on larger array.
- 2015-03-20 21:02:46下载
- 积分：1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分：1
