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SRC

于 2017-08-20 发布

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下载积分: 1 下载次数: 1

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说明：最大限度地平 FIR 逼近（拉格朗日插值法）拉格朗日插值是一种时域方法，导致基于多项式的筛选器的一个特殊情况。用 M 次多项式近似表示输出信号。最简单的情况 (M = 1) 对应于线性插值。让我们设计和分析将通过各种馏分拆分单元延迟的几种线性分数时滞滤波器：(Maximally-Flat FIR Approximation (Lagrange Interpolation) Lagrange interpolation is a time-domain approach that leads to a special case of polynomial-based filters. The output signal is approximated with a polynomial of degree M. The simplest case (M=1) corresponds to linear interpolation. Let's design and analyze several linear fractional delay filters that will split the unit delay by various fractions:)

文件列表：

1.7 Sample Rate Conversion.pdf
Callbacks_SRC_GUI25.m
Read_Me.txt
srconv.m
SRCONV.mat
SRC_GUI25.m
SRC_GUI25.mlappinstall
SRC_GUI25.prj
SRC_Snapshot_1.JPG
license.txt

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2011-12-03 17:28:18下载

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利用lms算法和rls算法，对通过给定系统h的随机信号进行自适应滤波，通过抽头w对系统进行逆辨识与辨识，同时产生MSE 即均方误差，来描述对信号恢复的效果。(Using lms algorithm and rls algorithms h through a given system adaptive filtering of random signals, the system through the tap w reverse identification and recognition, while the mean square error MSE generated to describe the effect on signal recovery.)

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