wst.object(wavethresh)
wst.object()所属R语言包：wavethresh
(Packet ordered) Nondecimated wavelet transform decomposition objects.
（分组排序）Nondecimated小波变换分解对象。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
These are objects of class wst They represent a decomposition of a function with respect to a set of (all possible) shifted wavelets.
这些类的对象的wst它们代表了一个相对于一组（所有可能的）移小波分解一个函数。
Details
详细信息----------Details----------
To retain your sanity we recommend that the coefficients from a wst object be extracted in one of two ways:
为了保持你的理智，我们建议从wst对象的系数中提取的两种方法之一：
use getpacket.wst to obtain individual packets of either father or mother wavelet coefficients.
使用getpacket.wst获得单个数据包的父亲或母亲的小波系数。
use accessD.wst to obtain all mother coefficients at a particular resolution level.
使用accessD.wst获得所有的母亲在一个特定的分辨率级别的系数。
use accessC.wst to obtain all father coefficients at a particular resolution level. </ul>
使用accessC.wst获得所有的父亲在一个特定的分辨率级别系数。 </ ul>
You can obtain the coefficients directly from the wst$wp component (mother) or wst$Carray component (father) but you have to understand their organization described above.
您可以直接从wst$wp组件（母）或wst$Carray组件（父亲）得到的系数，但你必须了解他们的组织上述。
值----------Value----------
The following components must be included in a legitimate "wst" object. <table summary="R valueblock"> <tr valign="top"><td>wp</td> <td> a matrix containing the packet ordered non-decimated wavelet coefficients. Each row of the matrix contains coefficients with respect to a particular resolution level. There are nlevels(wst)+1 rows in the matrix. Row nlevels(wst)+1 (the “bottom”) row contains the “original” data used to produce the wavelet packet coefficients. Rows nlevels(wst) to row 1 contain coefficients at resolution levels nlevels(wst)-1 to 0 (so the first row contains coefficients at resolution level 0).
以下组件必须被包括在一个合法的“WST对象。 <table summary="R valueblock"> <tr valign="top"> <TD> wp</ TD> <TD>矩阵责令包含包非抽取小波系数的。的矩阵的每一行包含相对于一个特定的分辨率等级系数。有nlevels(wst)+1在矩阵中的行。行nlevels(wst)+1（“自下而上”）行包含“原始”数据产生的小波包系数。行nlevels(wst)第1行包含系数的分辨率水平nlevels(wst)-10（第一行包含在分辨率级别为0的系数）。
The columns contain the coefficients with respect to packets. A different packet length exists at each resolution level. The packet length at resolution level i is given by 2^i. However, the getpacket.wst function should be used to access individual packets from a wst object.</td></tr> <tr valign="top"><td>Carray</td> <td> A matrix of the same dimensions and format as wp but containing the father wavelet coefficients.</td></tr> <tr valign="top"><td>nlevels</td> <td> The number of levels in the decomposition. If you raise 2 to the power of nlevels you get the number of data points used in the decomposition.</td></tr> <tr valign="top"><td>filter</td> <td> a list containing the details of the filter that did the decomposition (equivalent to the return value from the filter.select function).</td></tr> <tr valign="top"><td>date</td> <td> The date that the transform was performed or the wst was modified.</td></tr> </table>
列包含的数据包系数。不同的数据包长度存在于每个分辨率级别。数据包长度分辨率级别i2^i。然而，getpacket.wst函数应该被用于访问单个数据包从一个wst对象。</ TD> </ TR> <tr valign="top"> <TD>Carray / TD> <TD>的矩阵相同的尺寸和格式，wp但包含的父亲小波系数。</ TD> </ TR> <tr valign="top"> <TD>nlevels </ TD> <TD>水平分解的数量。如果你提高的力量nlevels，“你在分解中使用的数据点的数量。</ TD> </ TR> <tr valign="top"> <TD>filter< / TD> <td>一个列表，其中包含的过滤器做了分解（相当于从filter.select函数的返回值）的细节。</ TD> </ TR> <tr valign="top"> <TD> date </ TD> <TD>的日期，变换或WST进行了修改。</ TD> </ TR> </ TABLE>
GENERATION----------GENERATION----------
This class of objects is returned from the wst function which computes the packets-ordered non-decimated wavelet transform (effectively all possible shifts of the standard discrete wavelet transform).
这个类的对象，则返回从wst函数，计算数据包排序，非抽取小波变换（有效地一切可能发生的变化的标准离散小波变换）。
Many other functions return an object of class wst.
许多其他函数返回一个对象类wst。
方法----------METHODS----------
The wst class of objects has methods for the following generic functions: AvBasis, InvBasis, LocalSpec, MaNoVe, accessC, accessD, convert, draw. getpacket. image. nlevels, nullevels, plot, print, putC, putD, putpacket, summary, threshold.
WST类的对象有以下通用功能的方法：AvBasis，InvBasis，LocalSpec，MaNoVe，accessC，accessD， convert，draw。 getpacket。 image。 nlevels，nullevels，plot，print，putC，putD，putpacket，summary，threshold。
RELEASE----------RELEASE----------
Version 3.5.3 Copyright Guy Nason 1994
版本3.5.3版权盖利晨1994年
（作者）----------Author(s)----------
G P Nason
参见----------See Also----------
wst
wst
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 20:22:47
