自适应滤波器

自适应滤波器与DSP技术在电话电路上的应用

Application of Adaptive Filter and DSP Technology in Telephone Circuit

基于MATLAB辅助DSP设计自适应滤波器与实现

MATLAB-based DSP design assistance and implementation of adaptive filter

用DSP快速实现自适应滤波器算法

Implementation of Adaptive Filtering Algorithm in Digital Signal Processor

一种应用于MPEG-2AAC格型自适应滤波器的FPGA实现

An Implementation of Lattice Adaptive Filter Applying in MPEG-2 AAC on FPGA

基于DSP的雷达信号自适应滤波器

Adaptive Filter for Radar Signal Based on DSP

改进的非线性自适应滤波器用于ECG信号去噪

Modified nonlinear adaptive polynomial filter for ECG signals noise reduction

自适应滤波器算法的DSP实现

Adaptive Filter Algorithm Based on DSP

自适应滤波器的FPGA实现

Implementation of Adaptive Filter with FPGA

设计一种基于H∞滤波的盲源自适应滤波器语音增强算法。

The final , design is based on the H ∞ filtering blind adaptive filter from the speech enhancement algorithm .

提出了基于Lyapunov稳定理论的自适应滤波器设计方法。

Design method of adaptive filter based on Lyapunov 's stability theory is proposed .

约束和非约束频域分组LMS自适应滤波器的快速算法

Fast algorithms for the constrained and unconstrained frequency domain BLOCK-LMS adaptive filters

自适应滤波器的一种新LMS算法&改进的最陡下降法

A New LMS Algorithm of Adaptive Filters & Modified Steepest Descent Method

自适应滤波器中LMS算法的应用

The Application of LMS Algorithm in Adaptive Filter

基于改进LMS算法的自适应滤波器

Self adaptive filter based on improved LMS algorithm

基于RLS自适应滤波器再热汽温建模研究

Modeling Research of the Reheat Steam Temperature Based on RLS Adaptive Filter

首先，在抑制噪声干扰方面，本文设计了一种最小均方（LMS）算法的自适应滤波器，来消除局部放电检测中广泛存在的周期性干扰信号。

Firstly , this paper designs a LMS algorithm adaptive filter to solve period noise disturbing .

这种方法以接收信号的功率谱密度函数为时间序列，利用最小二乘格型自适应滤波器经由AR建模而得到高分辨率的时间延迟估计。

This method uses the eross power spectral density ( PSD ) function of two received signals as a time sequence .

最后在动态仿真软件SYSTEMVIEW的环境下构建了自适应滤波器和调制解调系统的模型，模拟实际环境对其性能进行仿真分析。

Moreover , the simulation system of modulation and demodulation is built under the environment of dynamic simulation software System View and the simulation experiment of imitating physical environment is made , and it makes analysis of simulation result in performance .

本文是对自适应滤波器在高次非球面面形检测的应用研究，采用自上而下的设计思想，用FPGA实现了自适应滤波器。

In this paper , study of adaptive filter in high-order aspheric surface shape detection , we use top-down design to implement self-adapting filter by using FPGA .

论述了自适应滤波器谐波检测原理，利用最小均方算法（LMS）对所需检测信号进行预测。

The harmonic detection principle is discussed , and the least mean square algorithm is used to predict the signals to be detected .

提出了变阶自适应滤波器和一种变步长变阶自适应LMS算法。

An adaptive filter with variable weight length and a LMS algorithm of variable step size and variable weight length are presented .

仿真结果表明，利用预测辅助LMS的自适应滤波器算法在实现效率和性能方面都优于其他几种算法。

Simulation results show that the adaptive filtering algorithm using prediction assisted LMS is superior to other existing algorithms on both the efficiency and performance .

通过用Volterra自适应滤波器对非线性系统建模的实例，证明了这种方法的有效性。

A simulation is given which uses the Volterra adaptive model for modeling an unknown nonlinear system and indicates that the method is efficient .

新方法不需要信道估计，它首先利用卡尔曼（Kalman）自适应滤波器抑制多址干扰，然后完成差分空时解码获得分集增益。

Without channel estimation , Kalman filter is firstly employed to restrain multiple access interference , and then the diversity gain is achieved by differential space time block decoding at the receiver .

标准的Capon谱估计方法是一种基于自适应滤波器组的谱估计方法。

The standard Capon spectral estimator is the one based on adaptive filter bank .

较系统地阐述了自适应滤波器和自适应噪声抵消器的基本原理，介绍了常用的最小均方（LMS）自适应算法，分析了影响噪声抵消性能的有关参数。

The primary subject of this paper is to : ( 1 ) The Basic principle of adaptive filter and adaptive noise cancellation system is systematically introduced .

提出一种新的基于模糊神经网络（FNN）的Speckle噪声自适应滤波器，以实时处理SAR图像。

A new type of adaptive speckle noise filter based on a fuzzy neural network ( FNN ) is presented for SAR images which is corrupted by multiplicative noise .

本文研究了一个跟踪机动目标的双带宽自适应滤波器，两个不同带宽的滤泼器由不同参数的Singer模型构成。

A dual bandwidth adaptive filter for tracking maneuvering targets has been developed in this thesis . The two filters having different band-width are based on Singer models with different parameters .

同时为了减少对硬件消耗，在滤波速度不受影响的前提下，采样DSPBUILDER和嵌入式软核NIOSⅡ实现自适应滤波器，将对速度要求不高和有条件判断的部分，在软核中用软件实现。

By the premise of no influence on the filtering speed and reduction of hardware consumption , DSP Builder and embedded soft core NIOS II are adopted to realize the self-filtering .

分别讨论输出误差法（OEM）和方程误差法（EEM）在设计自适应滤波器的应用。

Output error method ( OEM ) and equation error method ( EEM ) was desired for adaptive IIR filter design .