维纳滤波器

自适应离散维纳滤波器及其在AR模型参数估计中的应用

Adaptive discrete Wiener filter in application of AR model 's parameters estimation

OFDM系统基于二维维纳滤波器信道估计优化算法的研究

The Optimized Channel Estimation Algorithm Based on 2-D Wiener Filter in OFDM Systems

LMS算法是随机梯度算法中的一种，其在随机输入维纳滤波器递归计算中使用确定性梯度。

It is one of random gradient algorithms with the steady gradient during the iteration .

本文完成了一种基于DSP的自适应LMS维纳滤波器的设计，从而实现了对数字图像进行初步降噪处理。

In this paper we have completed a DSP-based design of adaptive LMS Weiner filter , and realized to decrease noise in digital image processing .

计算功率极值算法将传统的自适应FIR维纳滤波器进行改进，通过计算功率极值来确定涡街流量频率。

The algorithm of power extremum calculation has improved the conventional adaptive FIR wiener filter , and determines the vortex flow frequency by calculating power extremum .

建立整个实验系统后，通过试验比较维纳滤波器和自适应LMS滤波器的优劣，找出最佳方案。

After establishing the entire experimental system , the best pattern may be discovered by comparing the Wiener filter and the auto-adapted LMS filter .

在802.11a系统的仿真平台上用LS和维纳滤波器方法分别对信道进行估计。

The channel estimations are performed by using LS and Wiener-filter method based on the platform of the 802.11a systems .

应用FIR数字滤波方法、离散维纳滤波器方法及小波消噪算法对测试信号进行消噪处理并比较了3种方法的优缺点。

FIR digital filtering , discrete Weiner filtering and wavelet denoising algorithm are applied to reduce noise of test signal , and the virtues and defects of three methods are compared .

由于共轭梯度算法和多级维纳滤波器本质上的一致性，提出了基于Krylov子空间的OFDM半盲信道估计算法。

Since the conjugate gradient method and multistage wiener filter are equivalent , an OFDM semi-blind channel estimation method based on Krylov subspace is proposed .

介绍了802.11a系统的信道估计技术，包括LS（最小平方）信道估计技术，维纳滤波器方法，以及它们的基本原理和主要算法。

The paper presents the channel estimation schemes of IEEE 802.11a systems , including LS ( Least Square ), the Wiener-filter and their basic theories and the major algorithms .

本文分析了现有的基于导频的MIMO-OFDM信道估计技术，提出了一种低复杂度的信道估计阈值算法，这种算法与采用维纳滤波器的估计技术相比较，具有计算复杂度低，适应性好的特点。

A low complexity algorithm on MIMO - OFDM channel estimation is presented in this paper by analyzing several pilot - based channel estimators available . It is more practical and robust compared to linear wiener filters .

2×1-D的维纳滤波器利用信道相关函数的可分离性，对2-D维纳滤波器进行了简化，一定程度地降低了其复杂性，但仍然需要知道或估计信道的统计特性。

But its complexity prevents its wide application 2 × 1-D. Wiener filter simplifies the 2-D Wiener filter by exploiting the separability of channel correlation and reduces its complexity to a certain extent , but it still have to know or estimate the channel statistics .

实际上，Roth处理器就是自适应滤波器实现的、能对原始带噪信号做最优化估计的维纳滤波器，从而实现了自适应广义相关时延估计算法。

A Roth processor is a Wiener filter which is realized by an adaptive filter , and it can finish optimum estimation of the original signals with noise . It realizes the adaptive generalized correlation algorithm for time delay estimation .

提出一种改进的维纳滤波器（WF）模型，用训练图像的均值合成维纳滤波传递函数中的参考函数，使WF具有了旋转不变识别的能力。

A modified Wiener filter ( WF ) model was proposed in which the reference term of WF ′ s transfer function was synthesized using the mean of training images . So the modified WF is capable of discerning rotation distortion .

在此基础上，讨论了自适应时间延迟估计器与广义相关时延估计算法中Roth处理器的关系，并利用维纳滤波器把二者联系和统一起来。

On the basis of these studies , we discuss the relationship between LMS adaptive time delay esti - mator and the Roth processor which is in the frame of the generalized correlation time delay esti - mation and link and unify both of them with a Wiener filter .

针对多级维纳滤波器（MSWF）用于子空间估计时信号特征矢量泄漏到噪声子空间的问题，提出了一种新的信号子空间估计算法，该算法不需要训练信号和信源个数的先验知识。

For the problem of signal leakage into noise subspace using Multi-stage wiener filter ( MSWF ) technique to estimate the signal subspace , this paper presents a subspace estimation algorithm . This method does not require the training signal and pre-knowledge of source number .

用调制传递函数评价和优化维纳滤波器

Evaluation and Optimization of Wiener Filter Using Modulation Transfer Function

分离重磁区域场与局部场的维纳滤波器

Wiener filter separating regional-residual component of gravity or magnetic fields

自适应阵列中多级维纳滤波器的有效实现算法

Efficient Algorithms for Implementing Multistage Wiener Filter in Adaptive Arrays

一种多级维纳滤波器的快速实现算法&迭代相关相减算法

Fast algorithm for implementing multistage wiener filter : iterative correlation subtraction algorithm

一种改进的多级维纳滤波器误差加载算法

An Improved Error Loading Method for Multistage Wiener Filter

基于多级维纳滤波器的信号子空间拟合算法

Signal Subspace Fitting Based on the Multi-stage Wiener Filter

维纳滤波器在生丝纤度检验中的应用

Application of Wiener Filter to Raw-Silk Fineness Test

多通路维纳滤波器的系统增益

System gain of multi - channel Wiener filter

在含有相关干扰源条件下实现单信源信号最佳检测的多道维纳滤波器

Multichannel Wiener filter for optimal detection of single-source signal when correlated interference is present

多声道语音增强系统中维纳滤波器的研究及其在语音识别中的应用

Study of Wiener Filter in Multichannel Noise Suppression Systems and Its Application in Speech Recognition

多径信道下基于维纳滤波器的自适应微分干扰抵消算法的研究

The Research of Adaptive Differential Interference Cancellation Based on Wiener Filter in the Multipath Channels

改进并提出了基于频域维纳滤波器方法的空域图象模糊复原算法。

An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution .

本文基于广义旁瓣相消结构和对维纳滤波器进行多级分解方法，提出一种多用户检测器。

A multiuser detection method is proposed based on the generalized sidelobe canceler and the multistage Wiener filtering technique .

降秩多级维纳滤波器在相关意义上进行截断降秩，其降秩性能优于基于特征子空间截断的降秩方法。

Reduced-rank Multistage Wiener Filter ( RR-MWF ) has better rank reduction performance than the methods based on eigen-subspace truncation .