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Description: A design method was introd uced to efficiently implement an interpolator by Farrow structure，which can be used in an
all—digital timing recovery scheme．An algorithm was presented to calculate the interpolator coefficients of Farrow structure and mini—
mize the mean square error(MSE)at the output 0f the receiver．Simulation results show that compared with other conventional inter—
polation filters，the performance with this optimized Farrow coefficients was improved in minimum MSE and the implementation
complexity was reduced
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Size: 58619 |
Author: xiaohumama |
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Description: 基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
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Size: 4096 |
Author: 林青 |
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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.
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Size: 3072 |
Author: 闫丰 |
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Description: 在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。-In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ).
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Size: 3072 |
Author: 闫丰 |
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Description: FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).-FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).
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Size: 2048 |
Author: dasu |
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Description: Median filter 3x3,Median filter 5x5, mean filter, wiener filter, PSNR, MSE -a simple gui for image noise removal
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Size: 14336 |
Author: torto |
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Description: 在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调-In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder
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Size: 8192 |
Author: 王凤 |
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Description: 很有趣的中值去噪小程序，内附MSE值来评价去噪效果-standard median filter for de-noising
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Size: 448512 |
Author: ZHOUYIFAN |
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Description: 针对数字通信系统中，由于码间串扰(ISI)和信道加性噪声的干扰，导致信号在接收端产生误码，设计了基于LMS算法的自适应均衡器(滤波器)。是一篇标准的毕业论文,有需要的朋友可以拿来做参考-Thesis for digital communications systems, crosstalk due to inter-symbol (ISI) and additive noise channel interference, leading to signals generated in the receiver error, design algorithm based on LMS adaptive equalizer (filter). Is a standard thesis, there is a need to make friends can be used as reference
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Size: 3072 |
Author: 张金锁 |
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Description: file:mblms23.m-performs two by three source separation with multipath
multichannel blind equalization with two sources and three sonsors
by Russell H.Lambert 1995
Must use multichannel ISI as performance measure (instead of MSE, SIR)
because of sign flips，permutations，multipath
and arbitrary delays in the inverse filter.
With given parameters this matlab program took 92 sacs to run on an
SGI (Silicon Graphics) Power Challenge (running on a single CPU).-file:mblms23.m-performs two by three source separation with multipath
multichannel blind equalization with two sources and three sonsors
by Russell H.Lambert 1995
Must use multichannel ISI as performance measure (instead of MSE, SIR)
because of sign flips，permutations，multipath
and arbitrary delays in the inverse filter.
With given parameters this matlab program took 92 sacs to run on an
SGI (Silicon Graphics) Power Challenge (running on a single CPU).
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Size: 2048 |
Author: juily |
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Description: 用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。-Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.
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Size: 1024 |
Author: 唐心 |
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Description: LMS算法
两个正弦信号的LMS滤波
均方误差图
功率谱图-LMS algorithm
Two sine signals of LMS filter
Mean square error (mse) figure
Power spectrum
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Size: 1024 |
Author: 笑然 |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter
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Size: 1024 |
Author: nagendra |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter.
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Size: 1024 |
Author: Said |
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Description: 最终的权值矩阵就是滤波器的系数，本程序的性能已经达到较高水平，最小均方误差等算法的MSE的计算。- The final weight matrix is ??the filter coefficient, The performance of the program has reached a high level, Minimum mean square error MSE calculation algorithm.
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Size: 4096 |
Author: 高西民 |
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Description: 高斯白噪声的生成程序，最小均方误差等算法的MSE的计算,多目标跟踪的粒子滤波器。- Gaussian white noise generator, Minimum mean square error MSE calculation algorithm, Multi-target tracking particle filter.
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Size: 7168 |
Author: fanmiu |
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Description: 最小均方误差等算法的MSE的计算,各种kalman滤波器的设计，粒子图像分割及匹配均为自行编制的子例程。- Minimum mean square error MSE calculation algorithm, Various kalman filter design, Particle image segmentation and matching subroutines themselves are prepared.
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Size: 6144 |
Author: vwihdq |
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Description: comparing several denoising methods of salt and pepper noise such as median filter, harmonic filter, morphological filter and uating PSNR and MSE and presenting a new method with the best result at the presence of up to 70 salt and pepper noise-comparing several denoising methods of salt and pepper noise such as median filter, harmonic filter, morphological filter and uating PSNR and MSE and presenting a new method with the best result at the presence of up to 70 salt and pepper noise
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Size: 5120 |
Author: ali |
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Description: 包含了阵列信号处理的常见算法，最小均方误差等算法的MSE的计算,FIR 底通和带通滤波器和IIR 底通和带通滤波器。- Contains a common array signal processing algorithm, Minimum mean square error MSE calculation algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
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Size: 5120 |
Author: fanjailui |
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Description: 窗函数法设计一个数字带通FIR滤波器，DSmT证据推理的组合公式计算函数，最小均方误差等算法的MSE的计算。- A window function design FIR digital band-pass filter, Combination formula DSmT evidence reasoning calculation function, Minimum mean square error MSE calculation algorithm.
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Size: 6144 |
Author: yiufuibaokou |
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