Description: 时域自适应滤波中基于先验概率的格型RLS算法-Time-domain adaptive filter based on a priori probability of lattice RLS algorithm Platform: |
Size: 1024 |
Author:dongxinwei |
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Description: 时域自适应滤波中基于后验概率的归一化格型RLS算法-Time-domain adaptive filter based on a posteriori probability of the normalized lattice RLS algorithm Platform: |
Size: 1024 |
Author:dongxinwei |
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Description: 设有一基于格型梯度算法的预测器，其输入 由的AR模型产生，本程序可以得出自适应预测器的曲线-There is a gradient algorithm based on the lattice of the predictor, the input generated by the AR model, the procedure can be drawn Curve Adaptive Predictor Platform: |
Size: 1024 |
Author:张宗彬 |
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Description: This mat lab code for adaptive lattice filters.-This is mat lab code for adaptive lattice filters. Platform: |
Size: 11264 |
Author:krrish |
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Description: 研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实
现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的
同时提高运算效率，满足遥测速变信号的处理和分析计算的要求-This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es—
timate power spectrum with a lattice filter according to the minimum mean square error(MMSE)criterion．The test re—
sults of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum
resolution and calculation eficiency，completely meets the requirements of the teleme data processing and analysis、 Platform: |
Size: 152576 |
Author:李丽 |
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Description: 本自适应算法，是格型的LMS算法，描述了反射系数对算法的影响，以及LMS算法和格型LMS算法的对比-The adaptive algorithm is grid-based LMS algorithm, the algorithm describes the impact of the reflection coefficient, and the LMS algorithm and lattice LMS algorithm comparison Platform: |
Size: 1024 |
Author:fenger |
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Description: 自适应信号处理中的格型LMS算法，并与横向LMS做了比较。应用环境是系统辨识-lattice LMS algorithm of adaptive signal processing were compared with the horizontal LMS algorithm. Application environment is the system identification Platform: |
Size: 1024 |
Author:韩科 |
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Description: 在数字信号处理中,格型(Lattice)网络起着重要的作用,使得它在现代谱估计,语音处理,自适应滤波,线性预测和逆滤
波等方面已得到广泛应用。本项目在VC6.0上用标准C语言实现了ARMA格型滤波器，提供单点滤波和向量滤波的实现，并给出测试程序。算法实现的稳定性也在工程项目中得到验证。-In digital signal processing, the lattice type (Lattice) network plays an important role, so that it in modern spectral estimation, speech processing, adaptive filtering, linear prediction inverse filtering, etc. have been widely applied. The project in VC6.0 using standard C language ARMA lattice filter provides a single point of filtering and vector filtering to achieve, given the test program. The algorithm stability also projects be verified. Platform: |
Size: 212992 |
Author:林元陈 |
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Description: In our work we have presented model for various deployment strategies and routing
strategies using agent based M&S tool NetLogo. In deployment strategies modeling we have
modeled small world networks, lattice networks, scale free networks and random networks as
well as in routing strategies we have modeled Random Walk and Random Walk in Lattice
Networks. Agent based solution provided for modeling WSNs will be proved extremely
beneficial in complex adaptive environments Platform: |
Size: 958464 |
Author:himan |
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Description: 西蒙.赫金的自适应滤波器原理，郑宝玉译。介绍了LMS、RLS、NLMS，格型RLS等滤波器，书中有详细的数学推导过程。-The Simon. Hyuk Kim adaptive filter principle, Ad Hoc translation. LMS, RLS, NLMS, Lattice RLS and other filter, the book detailed mathematical derivation. Platform: |
Size: 16865280 |
Author:徐龙 |
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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 |
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Description: 基于格-梯型结构的RLS算法,结合格型滤波器阶数可调与横型滤波器时间可调的特性，设计出阶数和时间分别递推的自适应滤波器，使得平方误差最小.-Based on the lattice- ladder structure of the RLS algorithm, combined with the lattice filter order of adjustable features adjustable cross-type filter time, recursive adaptive filter design order and time, so that the minimum squared error. Platform: |
Size: 20480 |
Author:khd |
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Description: 简要介绍了标量量化和矢量量化的相关知识。标量量化包括了固定量化、自适应量化、基于视觉的量化等。矢量量化包括了其基本原理和LBG,Lattice两种实现方法。-Brief scalar quantization and vector quantization related knowledge. Scalar quantization including fixed quantization, adaptive quantization, the quantization based on the visual. Vector quantization, including the basic principles and LBG, Lattice two methods. Platform: |
Size: 248832 |
Author:ALMA CHOW |
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Description: 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
2）横向/格-梯型结构RLS算法
并分析其结果。-Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response:
Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate):
1) landscape/grid- LMS algorithm ladder structure
2) landscape/grid- RLS algorithm ladder structure
And analyze the results. Platform: |
Size: 3072 |
Author:李丽红 |
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