filter.select(wavethresh)
filter.select()所属R语言包：wavethresh
Provide wavelet filter coefficients.
提供小波滤波器系数。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function stores the filter coefficients necessary for doing a discrete wavelet transform (and its inverse).
此函数存储的滤波器系数所需的做离散小波变换（和它的逆）。
用法----------Usage----------
filter.select(filter.number, family="DaubLeAsymm", constant=1)
参数----------Arguments----------
参数：filter.number
This selects the desired filter, an integer that takes a value dependent upon the family that you select.
选择所需的过滤器，一个整数，它的值取决于您选择的家庭。
参数：family
This selects the basic family that the wavelet comes from. The choices are DaubExPhase for Daubechies' extremal phase wavelets, DaubLeAsymm for Daubechies' “least-asymmetric” wavelets, Lawton for Lawton's complex-valued wavelets, LittlewoodPaley for a bad approximation to Littlewood-Paley wavelets.
这将选择的小波来自家庭的基本。 Daubechies小“极值相小波，DaubLeAsymm的的Daubechies小”至少不对称“小波，劳顿劳顿的复值小波，LittlewoodPaley一个坏的近似的Littlewood-Paley小波的选择是DaubExPhase的。
参数：constant
This constant is applied as a multiplier to all the coefficients. It can be a vector, and so you can adapt the filter coefficients to be whatever you want. (This is feature of negative utility, or “there is less to this than meets the eye” as my old PhD supervisor would say [GPN]).
此常数被施加到所有的系数作为一个乘法器。它可以是一个向量，这样你就可以适应的滤波器系数是任何你想要的。 （这是负效用的特点，或“少来这套，比遇见眼睛”我的老博士生导师会说GPN）。
Details
详细信息----------Details----------
This function contains at least three types of filter. Two types can be selected with family set to DaubExPhase, these wavelets are the Haar wavelet (selected by filter.number=1 within this family) and Daubechies “extremal phase” wavelets selected by filter.numbers ranging from 2 to 10). Setting family to DaubLeAsymm gives you Daubechies least asymmetric wavelets, but here the filter number ranges from 4 to 10. For Daubechies wavelets, filter.number corresponds to the N of that paper, the wavelets become more regular as the filter.number increases, but they are all of compact support.
此功能包含至少三种类型的过滤器。可以选择两种类型是和家人设置到DaubExPhase的，这些小波Haar小波（这个家庭内由filter.number = 1选择）和Daubechies小波“极值相”小波由filter.numbers取值范围从2~10的选择）的。设置家庭DaubLeAsymm，为您提供了Daubechies小至少不对称小波，但在这里，过滤器的数量范围从4到10。对于Daubechies小波，filter.number的对应的N，纸张，小波变得更加规律，的filter.number增加，但他们都是紧凑的支持。
Setting family equal to “Lawton” chooses complex-valued wavelets. The only wavelet available is the one with “filter.number” equal to 3.
设置家庭等于“劳顿”选择复值小波。可用的唯一小波是一个与“filter.number”等于3。
The function compare.filters can be used to compare two filters.
功能compare.filters可以用来比较两个滤波器。
值----------Value----------
Alist is returned with four components describing the filter:
ALIST四部分组成，描述了过滤器，则返回：
<table summary="R valueblock"> <tr valign="top"><td>H</td> <td> A vector containing the filter coefficients.</td></tr> <tr valign="top"><td>G</td> <td> A vector containing filter coefficients (if Lawton wavelets are selected, otherwise this is NULL).</td></tr> <tr valign="top"><td>name</td> <td> A character string containing the name of the filter.</td></tr> <tr valign="top"><td>family</td> <td> A character string containing the family of the filter.</td></tr> <tr valign="top"><td>filter.number</td> <td> The filter number used to select the filter from within a family.</td></tr> </table>
<table summary="R valueblock"> <tr valign="top"> <TD>H </ TD> <td>一个向量滤波器系数。</ TD> </ TR> <TR VALIGN =“”> <TD>G </ TD> <td>一个向量滤波器系数（如果劳顿小波的选择，否则这是NULL）。</ TD> </ TR> <TR VALIGN = “顶”> <TD> name </ TD> <td>一个字符串，其中包含的过滤器的名称。</ TD> </ TR> <tr valign="top"> <TD> X> </ TD> <td>一个字符串，其中包含的过滤器的家庭。</ TD> </ TR> <tr valign="top"> <TD>family </ TD> <TD >在一个家庭内使用选择过滤器的过滤器数量。</ TD> </ TR> </ TABLE>
RELEASE----------RELEASE----------
Version 3.5.3 Copyright Guy Nason 1994
版本3.5.3版权所有盖利晨1994
注意----------Note----------
The (Daubechies) filter coefficients should always sum to sqrt(2). This is a useful check on their validity.
（Daubechies小波）滤波器系数应该总是总结到sqrt（2）。这是一个有用的检查其有效性。
（作者）----------Author(s)----------
G P Nason
参见----------See Also----------
wd, wr, wr.wd, accessC, accessD, compare.filters, imwd, imwr, threshold, draw.
wd，wr，wr.wd，accessC，accessD，compare.filters，imwd，imwr，threshold，draw。
实例----------Examples----------
#This function is usually called by others. However, on occasion you may wish to look at the coefficients themselves.[此功能通常被称为别人。然而，有时你可能想看看自己的系数。]
#[]
# look at the filter coefficients for N=4 (by default Daubechies'[看的滤波器系数，对于N = 4（默认情况下，Daubechies小波]
# least-asymmetric wavelets.)[至少不对称小波）。]
#[]
filter.select(4)
#$H:[$ H：]
#[1] -0.07576571 -0.02963553 0.49761867 0.80373875 0.29785780[[1] -0.07576571 -0.02963553 0.49761867 0.80373875 0.29785780]
#[6] -0.09921954 -0.01260397 0.03222310[[6] -0.09921954 -0.01260397 0.03222310]
#[]
#$G:[$ G：]
#NULL[NULL]
#[]
#$name:[$名称：]
#[1] "Daub cmpct on least asymm N=4"[[1]“至少涂抹cmpct非对称N = 4”]
#[]
#$family:[$家庭：]
#[1] "DaubLeAsymm"[[1]“DaubLeAsymm”]
#[]
#$filter.number:[$ filter.number：]
#[1] 4[[1] 4]
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 17:19:32
