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TestPanel
JPanel，JtestArea，JScrollPane，JFrame的简单范例(JPanel, JtestArea, JScrollPane, JFrame simple examples)
- 2009-04-21 19:49:52下载
- 积分：1
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cs_4
QAM载波跟踪程序，用matlab写的，小程序，很实用，可以看看(QAM carrier recovery)
- 2010-05-09 14:27:11下载
- 积分：1
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pso
基于matlab的粒子群优化算法,可以解决多目标优化问题(PSO algorithm based on matlab,it can do the optimization problem )
- 2010-11-04 12:01:30下载
- 积分：1
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BPSKinAWGN
用matlab实现AWGN信道下BPSK调制方式(Matlab 实现 AWGN channel with BPSK modulation under)
- 2010-05-20 11:04:18下载
- 积分：1
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AWGN_Channel_BCH_4DPSK
BCH coded m-DPSK BER with AWGN
- 2014-10-20 17:03:32下载
- 积分：1
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Cukmojaza
power electric simulation models
- 2013-12-10 22:23:23下载
- 积分：1
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SinFm-spandcj
这个文件编程实现了正弦调频的频谱图分布和乔伊-威廉斯分布，通过观察我们可以看到不同时频分布算法实现的不同特点(This file programming the frequency spectrum of a sinusoidal FM distribution and Joy- Williams distribution, we can see by observing the time-frequency distribution of the different features of algorithm implementation)
- 2009-12-29 19:53:48下载
- 积分：1
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mimosystemspace-timecode
mimo system caculate,decode,error rate (mimo system space-time code)
- 2010-05-20 16:13:06下载
- 积分：1
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鲁棒控制：线性矩阵不等式处理方法
鲁棒控制问题的线性矩阵不等式的解法，从理论到程序，自学很好用，希望对大家有帮助。(Robust control problem of linear matrix inequality solution, from theory to procedures, self-learning, very useful, and I hope to help everyone.)
- 2017-10-08 16:30:15下载
- 积分：1
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多目标优化算法
说明： 工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)
- 2020-07-07 16:57:46下载
- 积分：1
