Location:
Search - FAST LMS
Search list
Description: 一种利用LMS的回声抑制的实现方法，经典文献-echo suppression of the method, classic literature
Platform: |
Size: 525301 |
Author: 陈谭 |
Hits:
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: 761562 |
Author: py528977 |
Hits:
Description: 一种利用LMS的回声抑制的实现方法，经典文献-echo suppression of the method, classic literature
Platform: |
Size: 525312 |
Author: 陈谭 |
Hits:
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 |
Hits:
Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.
Platform: |
Size: 3072 |
Author: 闫丰 |
Hits:
Description: 程序实现的功能是：一种改进型的LMS算法！具有收敛速度快的特点-Procedures for the realization of the functions are: an improved algorithm of LMS! With the characteristics of fast convergence
Platform: |
Size: 1024 |
Author: 苗黄 |
Hits:
Description: 分块BLMS 算法,首先将信号分成若干小快，然后进行LMS计算，解决了计算工程量大的问题-Block BLMS algorithm, first of all, the signal is divided into several small fast, and then proceed to LMS, the solution to calculate the engineering problem of a large quantity of
Platform: |
Size: 1024 |
Author: keshijie |
Hits:
Description: 采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation.
Platform: |
Size: 1024 |
Author: 杨思科 |
Hits:
Description: lms算法是自适应中的一种简单，易于实现的方法，收敛速度很快，所以应用很多-lms algorithm is adaptive in a simple, easy to implement method of fast convergence, so the application of many
Platform: |
Size: 3072 |
Author: 蓉儿 |
Hits:
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 |
Hits:
Description: 自适应滤波的块型最小均方差算法（B-LMS）,能够快速跟踪过程的变化-Block adaptive filtering algorithm based on LMS (B-LMS), to fast track the process of change
Platform: |
Size: 1024 |
Author: lurui |
Hits:
Description: 在一种变步长算法基础上, 从语音信号相关性的角度出发, 提出了一种新的去相关变步长LMS 算法( DCL—NLMS) 。该算
法结构简单, 收敛速度快, 稳态失调小, 计算量与NLMS 算法相当。仿真结果表明, 该算法在处理强相关性信号时, 不仅收敛速度明
显快于其余算法, 而且稳态失调特性也有很大优势-Based on the variable step NLMS arithmetic, this paper proposes a new uncorrelated variable step arithmetic( DCL—
NLMS) by employing auto—correlation of the input speech signal.The proposed algorithm has simple structure, fast convergence
speed, but small stability maladjustment with the same computational complexity as NLMS.Simulation results show not only its
convergence is faster than that of the others, but also the stable maladjustment of it is better too.
Platform: |
Size: 444416 |
Author: 李丽 |
Hits:
Description: 格-梯型结构的LMS算法，按照最小均方准则，设计出阶数和时间分别递推的自适应滤波器，可以进行梯型滤波，又具有格型预测前后节独立、收敛快速的优点，但计算量大。-Grid- LMS algorithm in a ladder-type structure, in accordance with the minimum mean square criterion, design order and time adaptive recursive filter, ladder filter, and lattice prediction independent front and rear section, and fast convergence.but computationally intensive.
Platform: |
Size: 18432 |
Author: khd |
Hits:
Description: IEEE(2010) paper on Fast Convergent LMS Adaptive Receiver for
MC-CDMA Systems with Space-Time Block Coding
Platform: |
Size: 201728 |
Author: Manwinder Singh |
Hits:
Description: Adaptive filtering algorithm based on LMS (B-LMS), to fast track the process of change in channel between transmitter & receiver
Platform: |
Size: 1024 |
Author: aritra |
Hits:
Description: 快速块LMS算法 利用FFT，实现频域的LMS快速算法，并且能够加快算法的收敛速度-Fast Block Least Mean Squares
Platform: |
Size: 1024 |
Author: wangnan |
Hits:
Description: fast transform domain normalized leaky LMS DFE example model. matlab. simulink.
Platform: |
Size: 21504 |
Author: D |
Hits:
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 |
Hits:
Description: 这是一种改进的最小均方算法，算法具有较快的收敛速度和较低的稳态误差，计算简单。(This is an improved minimum mean square algorithm. The algorithm has fast convergence speed and low steady-state error, and the calculation is simple.)
Platform: |
Size: 1024 |
Author: 球球团团
|
Hits:
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
|
Hits: