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Identify_queue_length_WithBlocking
Identify queue length by Edge detection with blocking
- 2013-05-06 01:52:44下载
- 积分：1
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huxinxi
可以用于求解两个信号的互信息、信息熵，并在此基础上求解广义相关系数。(Mutual information, information entropy can be used to solve the two signals, and solving the generalized correlation coefficient on this basis.)
- 2014-03-11 15:30:19下载
- 积分：1
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ZCR_En
End POint detection algorithm using Energy-ZCR
- 2009-03-19 19:57:50下载
- 积分：1
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xiangwei
说明： 很好的资料，对于两个相位不同的信号来说，信号的分离(Good information, for two different signal phase, the signal separation)
- 2010-04-19 20:56:54下载
- 积分：1
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fdv53
人脸识别程序代码 基于MATLAB的人脸识别代码(Face recognition code based on MATLAB code for face recognition)
- 2010-06-17 20:49:11下载
- 积分：1
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Burg
说明： 实现两个语音信号的分离，采用Burg算法(To achieve the separation of two speech signals using the Burg algorithm)
- 2010-04-23 20:11:42下载
- 积分：1
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henonbif
henon bifurcations for matlab
- 2013-03-19 04:33:57下载
- 积分：1
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OFDM-DVB-T-DTMB
DVB-T，DTMB简化的信道仿真程序。设置了三种保护间隔：循环前缀、零添加、伪随机添加。用于研究不同保护间隔下的SNR特性，附带一个不同保护间隔下的频谱显示，可看出三种保护间隔对OFDM频谱陡峭程度的影响。(DVB-T，DTMB channel simulation and spectrum display.)
- 2020-12-22 10:59:07下载
- 积分：1
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CSMA
CSMA/CD(1-persistent):
当有packet需要发送时：
• 如检测到信道空闲，发送packet
• 如检测到信道忙，一直检测信道状态，一旦信道空闲，立即发送(CSMA/CD (1-persistent): When there is packet needs to be sent when: • If the channel is detected idle, transmit packet • If the channel is detected busy channel state has been detected, once the channel is idle, transmit immediately)
- 2013-12-22 16:35:02下载
- 积分：1
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NSGA
说明： 多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)
- 2020-02-13 19:30:43下载
- 积分：1
