Description: 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification Platform: |
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Author:junrren |
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Description: 各种最小二乘算法总结（算例及Matlab程序）
1、一般最小二乘算法的一次计算法和递推算法
2、遗忘因子最小二乘的一次算法和递推算法
3、限定记忆最小二乘递推算法
4、偏差补偿最小二乘算法
5、增广最小二乘
6、广义最小二乘
7、辅助变量法
8、二步法
9、多级最小二乘
10、Yule-Walker辨识算法
（参考文献：过程辨识，方崇智，清华大学出版社，1988）-Summary of various least-squares algorithm (Matlab examples and procedures) a general least-squares algorithm is a calculation method and the recursive algorithm 2, a forgetting factor least squares algorithm and the recursive algorithm 3, limited memory least-squares recursive algorithm 4, a deviation of penalized least squares algorithms 5, 6 Extended Least Squares, Generalized Least Squares 7, supplementary variable method 8, 9, 2-step, multi-stage least-squares 10, Yule-Walker Identification Algorithm (see literature: the process of identification, Fang Chongzhi, Tsinghua University Press, 1988) Platform: |
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Description: 项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the computer simulation results and analysis of simulation results, Finally, the recursive least squares Simulation criterion to be relatively balanced. Platform: |
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Author:gaoliangy |
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Description: 此程序是基于二步最小二乘法，运用递推算法。-This procedure is based on two-step least square method, the use of recursive algorithms. Platform: |
Size: 1024 |
Author:侯宁 |
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Description: 此程序是基于广义最小二乘法，运用递推算法。-This procedure is based on generalized least square method, the use of recursive algorithms. Platform: |
Size: 1024 |
Author:侯宁 |
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Description: 使用matalb软件，利用递推阻尼最小二乘法进行参数辨识，并改变噪声的强度，即 a*ξ(t)（0<a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ；-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a<1），分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ； Platform: |
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Author:yvwei |
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Description: This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer’s weight vector. A
novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt
the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal
minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this
semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm Platform: |
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Author:yh |
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Description: 最小二乘法是一种数学优化技术。辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。-Method of least squares is a mathematical optimization techniques. Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the controlled object. Platform: |
Size: 6144 |
Author:gjf |
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Description: 递归最小二乘算法，来至MIT大学的wingate教授，含3个源码-rls.m- Basic recursive least squares.
qr_rls.m- Square-root version of RLS using a QR decomposition.
bqr_rls.m- Block square-root version of RLS using a QR decomposition (you can add multiple rows at a time). Platform: |
Size: 2048 |
Author:jiang |
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Search - recursive least square