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BPSK-with-Pulse-Shaping
BPSK code in Matlab with Pulse Shaping (SRRC) and Channel Noise (AWGN)
- 2011-04-28 23:15:52下载
- 积分：1
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neuralnetworktoolmatlab
matlab用的神经网络课题比较工具,课程设计用到(neual network project used tool for matlab.)
- 2010-05-11 11:02:34下载
- 积分：1
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pingxiang
求频率响应的程序，里面提供了三个求的方法，经过本人调试(frequency response)
- 2012-06-27 23:15:28下载
- 积分：1
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fegnlifadianMPPT
风力发电最大功率点跟踪，采用爬山法，matlAB自带永磁同步电机，buck电路降压(Wind power maximum power point tracking, using climbing method, matlAB own permanent magnet synchronous motor, buck buck circuit)
- 2014-02-27 16:21:53下载
- 积分：1
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gmsk
最小高斯移频键控调制性能仿真，含频谱分析，matlab的simulink实现(Gaussian minimum shift keying modulation frequency performance simulation, including spectral analysis, matlab achieve the simulink)
- 2009-05-07 08:27:39下载
- 积分：1
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kongzhi
实现了PID控制与自适应模糊PID控制的比较 亲测simulink仿真结果 (Adaptive fuzzy PID control)
- 2013-09-14 11:37:11下载
- 积分：1
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adaptive_beamforming
数字波束形成是在数字信号处理方法的基础上建立起来的一门技术，广泛用
于雷达、声纳、通信和电子对抗等领域。论文针对数字波束形成中算法的稳健性、
移动目标的数字波束跟踪等问题，进行了研究(Digital beam forming is in digital signal processing methods established on the basis of a technology, it is widely used
In radar, sonar, communication and electronic countermeasures, etc. Thesis in digital beamforming algorithm robustness,
Moving target tracking digital beam, were studied
)
- 2013-01-09 22:20:04下载
- 积分：1
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system
一个完整的OFDM系统仿真程序，可以从中学习如何建模(A complete OFDM system simulation program, you can learn how to model)
- 2010-05-18 11:00:00下载
- 积分：1
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geodome
geometric shape modeling1
- 2011-11-28 15:56:38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
