Description: 数字信号处理（机械工业出版社）的源码，7章介绍IIR滤波器设计和matlab源码，8章介绍FIR滤波器设计和matlab源码，9章介绍自适应（LMS,NLMS,RLS,LMS的快速算法）滤波器设计和matlab源码，希望帮助有需要的朋友-digital signal processing (Machinery Industry Press), the source, Chapter 7 IIR filter design and Matlab source, Chapter 8 FIR filter design and Matlab source, adaptive Chapter 9 (LMS, NLMS, RLS, the fast algorithm LMS) filter design and Matlab source, in order to help a friend in need Platform: |
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Author:py528977 |
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Description: 数字信号处理（机械工业出版社）的源码，7章介绍IIR滤波器设计和matlab源码，8章介绍FIR滤波器设计和matlab源码，9章介绍自适应（LMS,NLMS,RLS,LMS的快速算法）滤波器设计和matlab源码，希望帮助有需要的朋友-digital signal processing (Machinery Industry Press), the source, Chapter 7 IIR filter design and Matlab source, Chapter 8 FIR filter design and Matlab source, adaptive Chapter 9 (LMS, NLMS, RLS, the fast algorithm LMS) filter design and Matlab source, in order to help a friend in need Platform: |
Size: 760832 |
Author:py528977 |
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Description: ssrls_wam is a state space recursive algorithm with adaptive memory helpful for the fast cinvergebce as compared to the standard rls Platform: |
Size: 1024 |
Author:inam |
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Description: 包含常用的LMS，RLS，快速RLS（FTF）等自适应滤波算法，搜集了多种合集，全部为m文件，很有启发，更好理解自适应算法。-Contains the commonly used LMS, RLS, fast RLS (FTF) adaptive filtering algorithm, etc. to collect a wide range of Collection, all for the m file, very enlightening and better understanding of the adaptive algorithm. Platform: |
Size: 90112 |
Author:andyliao |
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Description: 信道均衡技术是移动通信中抗衰落的三大技术之一。均衡是用来解决由于信道的非线性和时变性引起的码间干扰的有效技术。如何有效解决码间干扰问题，具有重要的理论意义。 本文在介绍自适应均衡技术的基本原理和均衡研究现状的基础上，阐述了目前几种典型的自适应均衡算法及其它们存在的一些问题。文章在传统自适应算法的基础上，提出了两种改进算法：基于RLS的自适应MIMO-DFE算法和基于分数间隔的改进CMA+SDD算法。计算机仿真结果表明，两种算法的收敛速度快，稳态误差小，均衡效果与传统算法相比都取得了明显提高。-Channel equalization in mobile communications technology is the anti-fading of the three technologies. Balance is used to solve due to channel non-linear and time-varying inter-symbol interference caused by effective techniques. How to effectively solve the inter-symbol interference problem, has important theoretical significance. This paper introduces the basic principle of adaptive equalization and balanced study of the status quo, based on the current set of several typical adaptive equalization algorithm and some of the problems of their existence. Article in the traditional adaptive algorithm based on the proposed two improved algorithms: RLS-based adaptive MIMO-DFE algorithms and interval-based scores improved CMA+ SDD algorithm. Computer simulation results show that the two kinds of convergence of the algorithm fast, steady-state error is small, compared to equilibrium results with the traditional algorithms have achieved significantly improved. Platform: |
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Author:阿郎 |
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Description: The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean squares (LMS) that aim to reduce the mean square error. In the derivation of the RLS, the input signals are considered deterministic, while for the LMS and similar algorithm they are considered stochastic. Compared to most of its competitors, the RLS exhibits extremely fast convergence. However, this benefit comes at the cost of high computational complexity. Platform: |
Size: 9216 |
Author:rajendra |
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Description: 基于RLS算法的数据预测与MATLAB实现——
递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。-RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method of data processing, recursive least squares (RLS) algorithm is widely used in signal analysis, adaptive filtering, recursive least squares (RLS) algorithm converges fast, and dispersion of autocorrelation matrix eigenvalue insensitive, but its large amount of calculation Platform: |
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Author:唐凯 |
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Description: RLS 递归最小二乘滤波器算法！！！！！！！！！！！！！！！！！！！！！(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in contrast to other algorithms such as the least mean squares (LMS) that aim to reduce the mean square error. In the derivation of the RLS, the input signals are considered deterministic, while for the LMS and similar algorithm they are considered stochastic. Compared to most of its competitors, the RLS exhibits extremely fast convergence. However, this benefit comes at the cost of high computational complexity.) Platform: |
Size: 1024 |
Author:清微
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Search - fast RLS Algorithm