Description: 系统仿真和辨识,包括递推最小二乘法ＲＬＳ和目前先进的辨识理论，适合于系统仿真用.-system simulation and identification, including RLS recursive least squares method and the current advanced identification theory is suitable for system simulation. Platform: |
Size: 17408 |
Author:董延军 |
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Description: 这是黑龙江大学自控理论杨易朋同学在最优估计课程当中用matlab编写的递推增广最小二乘算法!-This is the theory of Heilongjiang University, Yang Yi-controlled peer students in courses optimal estimate prepared by using Matlab recursive least squares algorithm to broaden! Platform: |
Size: 1024 |
Author:杨易朋 |
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Description: 最小二乘递推算法RLS，利用递推最小二乘法计算Volterra级数的核-recursive least squares algorithm RLS using recursive least squares method Volterra series of nuclear Platform: |
Size: 2048 |
Author:辛号 |
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Description: 随机序列产生程序,白噪声产生程序,M序列产生程序,二阶系统一次性完成最小二乘辨识程序,实际压力系统的最小二乘辨识程序,递推的最小二乘辨识程序,增广的最小二乘辨识程序-random sequence generation process, white noise procedures for selecting the M series, Second-order system to complete a one-time least-squares identification procedures, the actual pressure on the least squares system identification procedures, recursive least squares identification procedures and increase the least squares identification procedures Platform: |
Size: 3072 |
Author:tonckin |
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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: |
Size: 2048 |
Author:junrren |
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Description: contains documents about new insights into the recursive least squares algorithm and a sample matlab code for rls algorithm Platform: |
Size: 1325056 |
Author: |
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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: 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: |
Size: 1024 |
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: |
Size: 7168 |
Author:jshuska |
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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: |
Size: 400384 |
Author:pravin jadhav |
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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: |
Size: 8192 |
Author:gaoliangy |
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