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R语言 wavethresh包 wp.object()函数中文帮助文档(中英文对照)

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发表于 2012-10-1 20:19:14 | 显示全部楼层 |阅读模式
wp.object(wavethresh)
wp.object()所属R语言包:wavethresh

                                        Wavelet Packet decomposition objects.
                                         小波包分解的对象。

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

These are objects of classes wp They represent a decomposition of a function with respect to a set of wavelet packet functions.
这些类的对象wp它们代表了一个分解的功能相对于一组小波包功能。


Details

详细信息----------Details----------

To retain your sanity we recommend that wavelet packets be extracted in one of two ways:
为了保持你的理智,我们建议小波包提取的两种方法之一:




use getpacket.wp to obtain individual packets.
使用getpacket.wp获得单个数据包。

use accessD.wp to obtain all coefficients at a particular resolution level. </ul>
使用accessD.wp获得所有的系数在一个特定的分辨率级别。 </ ul>

You can obtain the coefficients directly from the wp$wp component but you have to understand their organization described above.
您可以直接从wp$wp组件得到的系数,但你必须了解他们的组织上述。


值----------Value----------

The following components must be included in a legitimate "wp" object.  <table summary="R valueblock"> <tr valign="top"><td>wp</td> <td> a matrix containing the wavelet packet coefficients. Each row of the matrix contains coefficients with respect to a particular resolution level. There are nlevels(wp)+1 rows in the matrix. Row nlevels(wp)+1 (the &ldquo;bottom&rdquo;) row contains the &ldquo;original&rdquo; data used to produce the wavelet packet coefficients. Rows nlevels(wp) to row 1 contain coefficients at resolution levels nlevels(wp)-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wp对象。 <table summary="R valueblock"> <tr valign="top"> <TD> wp</ TD> <TD>包含小波包系数矩阵。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(wp)+1在矩阵中的行。行nlevels(wp)+1(“自下而上”)行包含“原始”数据产生的小波包系数。行nlevels(WP)第1行包含系数的分辨率水平nlevels(wp)-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.wp function should be used to access individual packets from a wp object.</td></tr> <tr valign="top"><td>nlevels</td> <td> The number of levels in the wavelet packet 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 wp 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.wp函数应该被用于访问单个数据包从一个wp对象。</ TD> </ TR> <tr valign="top"> <TD>nlevels / td> <td>使用的小波包分解水平。如果你提高2的力量NLEVELS的,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,并分解(相当于函数的返回值的详细信息filter.select功能)。 </ TD> </ TR> <tr valign="top"> <TD> date</ TD> <TD>的日期进行变换或修改可湿性粉剂。</ TD> </ TR> </ TABLE>


GENERATION----------GENERATION----------

This class of objects is returned from the wp function to represent a wavelet packet decomposition of a function. Many other functions return an object of class wp.
这个类的对象,则返回从wp函数来表示小波包分解的功能。许多其他函数返回一个对象类可湿性粉剂。


方法----------METHODS----------

The wp class of objects has methods for the following generic functions: InvBasis, MaNoVe, accessC, accessD, basisplot, draw. getpacket, nlevels, plot, print, putC, putD, putpacket, summary, threshold.
可湿性粉剂类的对象有以下通用功能的方法:InvBasis,MaNoVe,accessC,accessD,basisplot,draw。 getpacket,nlevels,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----------

wp
wp

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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