wavDaubechies(wmtsa)
wavDaubechies()所属R语言包：wmtsa
Daubechies wavelet and scaling filters
Daubechies小波和尺度滤波器
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Ingrid Daubechies, a noted pioneer in wavelet theory, has established a number of wavelet filter types, each with different mathematical properties. This function calculates the wavelet and scaling coefficients for a given filter type. The wavelet coefficients, h(k) for k=0,...,L-1 where L is the filter length, are related to the scaling coefficients through the quadrature mirror filter (QMF) relation
英格丽·Daubechies小波，小波理论的先驱，已经建立一些小波滤波器类型，每种类型具有不同的数学特性。此函数计算小波和尺度系数，对于一个给定的过滤器类型。小波系数，h(k)k=0,...,L-1L是滤波器的长度，都与缩放系数通过正交镜像滤波器（QMF）的关系
用法----------Usage----------
wavDaubechies(wavelet="s8", normalized=TRUE)
参数----------Arguments----------
参数：normalized
a logical value. If TRUE, the filters are normalized by dividing each filter coefficient by the sqrt(2) (useful for maximum overlap wavelet transforms). If FALSE, no normalization is used. Default: TRUE.
一个逻辑值。如果TRUE，过滤器由sqrt(2)（有用的最大重叠小波变换）除以各滤波器系数进行归一。如果FALSE，没有标准化。默认值：TRUE。
参数：wavelet
a character string denoting the filter type. Supported types include:
一个字符串，表示过滤器的类型。支持的类型包括：
EXTREMAL PHASE (daublet):"haar", "d2", "d4", "d6", "d8", "d10", "d12", "d14", "d16", "d18", "d20"
极值的PHASE（daublet）：“haar等”，“D2”，“D4”，“D6”，“d8的”，“D10”，“的d12”“d14的”，“D16”，“D18”，“d20中”
LEAST ASYMMETRIC (symmlet):"s2","s4", "s6", "s8", "s10", "s12", "s14", "s16", "s18", "s20"
最小二乘ASYMMETRIC（symmlet）：“S2”，“s4中”，“S6”，“第8”，“S10”，“S12”，“S14”，“S16”，“S18”，“S20”
BEST LOCALIZED:"l2","l4", "l6", "l14", "l18", "l20"
最好的本地化：“L2”，“L4”，“L6”，“L14”，“L18”，“L20”
COIFLET:"c6", "c12", "c18", "c24", "c30"
Coiflet小波：“C6”，“C12”，“C18”，“C24”，“C30”
Default: "s8".
默认值："s8"。
Details
----------Details----------
Only relevant for Daubechies filter types. Inconsistent ordering of the coefficients in Daubechies' book was recognized and corrected by Percival (see references). The "correct" order is given here.
只有相关的Daubechies小波滤波器类型。顺序的不一致系数Daubechies小波的书，承认和纠正波斯富街（请参阅参考资料）。这里给出“正确”顺序。
值----------Value----------
an object of class wavDaubechies.
对象类wavDaubechies。
S3方法----------S3 METHODS----------
plot plot Daubechies filters.
图图Daubechies小波滤波器。
Usage: plot(x, type="time")
用途：图（X =“时间”）
xA wavDaubechies object.
XA wavDaubechies对象。
typeA character string denoting the type of plot to produce. Choices are "time", "gain", and "phase" for an impulse response, squared gain, and phase plot, respectively. Default: "time".
A型字符串表示的类型图。选择"time"，"gain"和"phase"的脉冲响应，方增益和相位图，分别。默认值："time"。
print print Daubechies filters.
打印打印Daubechies小波滤波器。
Usage: print(x, verbose=TRUE)
用途：打印（X，详细= TRUE）
xA wavDaubechies object.
XA wavDaubechies对象。
verboseA logical value. If TRUE, the filter coefficients are also printed. Default: TRUE.
verboseA逻辑值。如果TRUE，滤波器系数也印。默认值：TRUE。
参考文献----------References----------
D. B. Percival and A. T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, 2000.
I. Daubechies, Orthonormal Bases of Compactly Supported Wavelets, Communications on Pure and, Applied Mathematics, 41, 909–96.
参见----------See Also----------
实例----------Examples----------
## obtain Daubechies least asymmetric 8-tap filter [＃得到的Daubechies小波至少不对称的8抽头的滤波器]
## set [＃]
filters <- wavDaubechies("s8", normalize=TRUE)
## plot the impulse responses [＃图的脉冲响应]
plot(filters, type="time")
## plot the gain function [＃绘制的增益功能]
plot(filters, type="gain")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 22:53:12
