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matlab
数字信号处理_matlab实现程序,上面有全套的实验代码(_matlab The realization of digital signal processing procedures, the above experiment with a full set of code)
- 2008-04-30 00:42:47下载
- 积分:1
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Tugas
THIS PROGRAMS TO MENDAPATKAN KASBIL MENGHITUNG DAN NTUK BELAJAR KALKU
- 2014-10-30 16:26:07下载
- 积分:1
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roootlocus_plot
MATLAB code for root locus plot
- 2013-09-27 02:24:53下载
- 积分:1
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quadrator
quadrotor + adabtive
- 2011-01-02 05:54:58下载
- 积分:1
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BPAdaboost
BPAdaboost,包括主程序,测试集等等(BPAdaboost, including the main program, test sets, etc.)
- 2020-10-21 11:07:24下载
- 积分:1
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Comparison-of-Bayesian-and-fisher
训练错误率和交叉验证错误率相等,在样本比较大时,这个结果是可以预期的;训练错误率一般低于测试错误率,但是当样本数据比较少时,实验也出现了意外,样本多的那组测试错误率比样本少的训练错误率还要小;在本实验中,同组数据的交叉验证错误率比独立测试错误率高,这个反常现象是因为样本的原因所致,交叉验证的样本小,而独立测试时所用训练样本数目大,因而出现这种情况。分类线上,fisher准则是一条直线,而贝叶斯分类器实际上是一个类似椭圆的封闭曲线;很明显,贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)
- 2012-02-02 20:49:02下载
- 积分:1
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Binary_convolutional_codes
能够测试不同码率(1/2,1/3)的卷积码在awgn信道下的性能(To test different bit-rate (1/2, 1/3) convolutional codes in awgn performance under channel)
- 2009-04-30 15:37:15下载
- 积分:1
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Density_Evolution
LDPC码理论方面的高性能密度进化仿真测试例程,可以跑出数值结果(LDPC DENSITY EVOLUTION)
- 2013-10-03 16:49:20下载
- 积分:1
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multipath
GNSS 的CA和 BOC码的多径情况,以及图形,功能可以,希望大家有用(ca boc multipath)
- 2021-01-03 17:48:56下载
- 积分:1
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Desktop
最大流问题,一种组合最优化问题,就是要讨论如何充分利用装置的能力,使得运输的流量最大,以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出,20世纪50年代福特、福克逊建立的“网络流理论”,是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)
- 2019-06-28 10:29:03下载
- 积分:1