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grade
- 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
latticefilters
- This mat lab code for adaptive lattice filters.-This is mat lab code for adaptive lattice filters.
LSL
- LSL最小二乘格型算法实现自适应滤波器，采取迭代递推算法，更新滤波器权值参数因子-LSL least square of lattice implements adaptive filter improve effective iteration
gexing_lms
- 自适应信号系统中的 格型 LMS算法 自适应滤波-Adaptive signal system lattice LMS adaptive filtering algorithm
LMS-Lattice-Algorithm
- 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 po
gexingLMS
- 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
gexing-lms
- 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
MMSE
- 最小均方误差自适应格型块处理迭代算法 预测AR模型系数-Minimum mean square error iterative adaptive lattice block processing algorithm Predict the AR model coefficients
DSP_ARMA_Lattice_C_language
- 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
heixiang-gexingLMS
- 本源码将横向自适应滤波器和格型自适应滤波器的LMS算法综合在一起,对起权系数跟踪性能可以做较好的比较-The source transverse adaptive filter and adaptive lattice filter LMS algorithm combined starting weight coefficient tracking performance can do a better comparison
iwc2010009
- 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 ran
LMS-algorithm2
- 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 l
RLS--algorithm-2
- 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 fil
quantization
- 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
levinson
- 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
adaptive_lat_filter
- 格型自适应性滤波器的比较(Normallized lattice,array lattice,A posteriori lattice,A priori lattice)-Compare lattice adaptive filter (Normallized lattice, array lattice, A posteriori lattice, A priori lattice)
Kite-Codes
- Kite codes, which were originally defined over the binary field, are generalized to arbitrary abelian groups in this paper. Kite codes are a special class of prefix rateless codes over groups, which can generate potentially infinite (or as many