Description: 这个是关于OFDM系统的信道估计的算法的两种方法，分别是OFDM的最小二乘和最小均方误差估计的仿真程序代码-the OFDM system is on the channel estimation algorithm of the two methods OFDM are the least squares and minimum mean square error estimate of simulation code Platform: |
Size: 5120 |
Author:周洁 |
Hits:
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 |
Hits:
Description: Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Constrained Least Mean Squares (LMS) algorithm for Beamforming Platform: |
Size: 770048 |
Author:anik |
Hits:
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 |
Hits:
Description: matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) criterion and least squares (Least Square, LS) criteria for two categories, most of the two other algorithms kind of algorithm evolution. Platform: |
Size: 2366464 |
Author:杨学海 |
Hits:
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 |
Hits:
Description: 本文介绍了自适应算法及其结构，主要以LMS算法为例。介绍了自适应算法应用的领域。-The book shows the theory of adaptive signal processing.The least mean squares (LMS) method is used as an example for showing the adaptive algorithm. Platform: |
Size: 5543936 |
Author:Chris |
Hits:
Description: Matlab Code to filter data using the Least Mean Squares adaptive algorithm. processes an input WAV file and filters out noise according to the setup parameters Platform: |
Size: 9216 |
Author:rudzz |
Hits:
Description: An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels.In this paper we present an adaptive Block-
Based EigenVector Algorithm (BBEVA) for blind equalization
of time-varying multipath fading channels. In addition
we assess the performance of the new algorithm for different
configurations and compare the results with the
least mean squares (LMS) algorithm. The new algorithm is
evaluated in terms of intersymbol interference (ISI) suppression,
mean squared error (MSE) and by examining the
signal constellation at the output of the equalizer. Platform: |
Size: 261120 |
Author:abd091 |
Hits:
Description: LMS algorithm for adaptive filter least mean squares-LMS algorithm for adaptive filter least mean squares Platform: |
Size: 9216 |
Author:aria_99660 |
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: 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:
Description: 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(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.) Platform: |
Size: 1024 |
Author:大东东 |
Hits:
Search - LEAST MEAN SQUARES ALGORITHM