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linear-DFE-MLSE-Equalizer
Matlab程序，用于比较线性均衡器、判决反馈均衡器(DFE)、盲最大似然序列估计均衡器(MLSE)等误码率性能。(Matlab procedures used to compare the linear equalizer, decision feedback equalizer (DFE), Blind maximum likelihood sequence estimation equalizer (MLSE), such as bit error rate performance.)
- 2021-03-27 21:59:12下载
- 积分：1
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MomentsZernike
moment s zernike algorithm
- 2013-05-27 04:47:14下载
- 积分：1
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eigfitplane
三维激光扫描的点云，如果是在一个面上，用局部小邻域拟合出平面(3D laser scanning point cloud, if it is on one side, with small local neighborhood fitting plane)
- 2012-05-15 16:53:49下载
- 积分：1
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Fuzzy-neural-network
用matlabr2009编程实现神经网络模糊聚类算法(Programming neural network with matlabr2009 fuzzy clustering algorithm)
- 2011-06-30 08:15:48下载
- 积分：1
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barsP_matlab
贝叶斯自适应回归样条分析（BARS）
本例用于 数据平滑处理 (Bayesian Adaptive Regression Splines (BARS) Data smooth)
- 2013-03-05 17:51:17下载
- 积分：1
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kaerman
卡尔曼滤波器主要适用于数字信号处理的开发及其运用！(Kearman filter program
)
- 2013-12-20 21:04:18下载
- 积分：1
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real_analyze
matlab实例分析一个Matlab实现的实分析程序(real analysis)
- 2010-07-01 20:51:00下载
- 积分：1
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04041115_2_bpsk
说明： bpsk分布，awgn,瑞丽衰落信道，调制解调加滤波，计算误码率(BPSK distribution, awgn, Ruili fading channel, modulation and demodulation increase filtering, bit error rate calculation)
- 2021-04-08 23:19:00下载
- 积分：1
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Ransacfromwang
使用matlab实现ransac算法,具体见程序(ransac)
- 2009-09-12 12:53:25下载
- 积分：1
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AnadaptiveKalmanfilterfordynamicharmonicstateestim
Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)
- 2007-03-10 17:26:49下载
- 积分：1
