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gongyueshu
输入两个正整数m和n,求其最大公约数和最小公倍数。
利用辗除法。(Enter two positive integers m, n, of seeking the common denominator and least common multiple.
The use of rolling division.)
- 2010-01-06 22:35:09下载
- 积分:1
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(pso)matlab[matlab]
这是粒子群较详细的工具箱,有不同的应用,并且有实例(This is a more detailed PSO toolbox, there are different applications and have examples of)
- 2010-05-10 09:18:23下载
- 积分:1
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pitch_contour_autocorrelation
this program estimated the pitch contour of a given speech signal.
- 2013-11-09 22:35:29下载
- 积分:1
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1585_Modul4
modul pelatihan matlab
- 2014-02-11 10:54:32下载
- 积分:1
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GUIwithMatlab
graphic user interface in matlab simple process
- 2013-03-16 18:13:39下载
- 积分:1
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Graph_coloring
This Code solve the graph coloring problem by genetic algorithm.
- 2013-03-25 23:33:44下载
- 积分:1
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psat
潮流计算,电力系统的潮流计算,非常有用,是一个可视化的应用程序(powerflow)
- 2010-06-19 12:33:48下载
- 积分:1
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the-point-of-straight-line
matlab求交点,包括直线与直线的交点,直线与曲线的交点,曲线与曲线的交点(Matlab intersection point, including the intersection of straight line and line, intersection of straight line and curve, and the curve of intersection curve)
- 2013-12-13 20:36:48下载
- 积分:1
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半监督分类算法
说明: 半监督学习(Semi-Supervised Learning,SSL)是模式识别和机器学习领域研究的重点问题,是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据,以及同时使用标记数据,来进行模式识别工作。当使用半监督学习时,将会要求尽量少的人员来从事工作,同时,又能够带来比较高的准确性,因此,半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分:1
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communicaton_lab
编程产生一组随机的0、1二进制比特序列,分别用2ASK, 2FSK, 2PSK和2DPSK四种调制方式把它们调制到一个较高的载频上,调制参数自定,请给出前8个比特所对应的时域波形。
画出上述四种信号通过高斯白噪声信道后的相干解调器和非相干解调器的原理框图,并给出判决前的观测值的数学表达式。注: 如果某些调制方式无法进行非相干解调,请给出原因。
根据题2中的观测值的数学表达式,分别编程实现判决过程,将判决结果与原数据作比较,统计出各自在不同比特信噪比 值下的误比特率 ,然后画出 与 (dB)的曲线。建议 的范围为 0dB 到10dB, 以1dB为间隔。
将上述仿真得到的误比特率曲线与各自的理论值画在同一张图上进行比较并讨论。同时, 比较和讨论不同调制与解调方式的差错性能区别。(emulate 2ASK, 2FSK, 2PSK and 2DPSK using matlab)
- 2010-02-07 17:09:12下载
- 积分:1