Description: Least Square - ARMA 算法的MATLAB代码, 是频谱分析(通常是在高级DSP这门课中会用到的)的常用算法-Least Square-ARMA algorithm MATLAB code, Analysis of the spectrum (usually at the senior DSP This class will be used) to the commonly used algorithm Platform: |
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Author:Frankie |
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Description: 递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的-Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent Platform: |
Size: 3072 |
Author:闫丰 |
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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: 多部预测自校正控制的算法仿真程序，用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method. Platform: |
Size: 6144 |
Author:张章 |
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Description: 系统辨识的最小二乘递推算法、辅助变量法、增广最小二乘法及偏差补偿法的matlab程序设计实例。-Recursive least squares system identification algorithm, auxiliary variables, the least square method and the augmented error compensation law matlab programming examples. Platform: |
Size: 2048 |
Author:刘悠 |
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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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Author: |
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Description: 均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。
-Equalization technique is to overcome inter-symbol interference (Inter-Symbol Interference, ISI) and effective measures, due to the randomness of the channel characteristics with the variability in practice to eliminate inter-symbol interference is the most commonly used adaptive equalizer. In this paper, based on minimum mean-square (Least Mean Squares, LMS) algorithm and recursive least squares (Recursive Least Squares, RLS) algorithm is adaptive equalizer simulation studies to analyze the channel characteristics and design parameters of the adaptive equalizer convergence speed and steady-state performance. Platform: |
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Author:xieliwei |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program Platform: |
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Author:jshuska |
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Description: 模拟实际环境下的递归最小二次方算法（RLS）多信号，多干扰。-Simulate the actual environment, the second recursive least square algorithm (RLS) multi-signal, multi-interference Platform: |
Size: 1024 |
Author:Billy |
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Description: Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel. Platform: |
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Author:pravin jadhav |
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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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Search - recursive least square algorithm