accessD.wd(wavethresh)
accessD.wd()所属R语言包：wavethresh
Get detail (mother wavelet) coefficients from wavelet object (wd).
细节（母小波）系数从小波的对象（WD）。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function extracts and returns a vector of mother wavelet coefficients, corresponding to a particular resolution level, from a wd wavelet decomposition object.
此功能提取物，并返回一个向量的母小波系数，对应于一个特定的分辨率等级，从wd小波分解对象。
The pyramid of coefficients in a wavelet decomposition (returned from the wd function, say) are packed into a single vector in WaveThresh.
打包成一个向量在WaveThresh的金字塔小波分解的系数（从wd函数返回，说了）。
用法----------Usage----------
## S3 method for class 'wd':
accessD(wd, level, boundary=FALSE, aspect="Identity", ...)
参数----------Arguments----------
参数：wd
Wavelet decomposition object from which you wish to extract the mother wavelet coefficients.
你想提取的母亲小波系数小波分解对象。
参数：level
The resolution level at which you wish to extract coefficients.
你想提取系数的分辨率级别。
参数：boundary
some methods of wavelet transform computation handle the boundaries by keeping some extra bookkeeping coefficients at either end of a resolution level. If this argument is TRUE then these bookkeeping coefficients are returned when the mother wavelets are returned. Otherwise, if FALSE, these coefficients are not returned.
一些小波变换的计算方法处理一些额外的簿记系数保持在两端的分辨率级别的界限。如果该参数为TRUE，那么这些簿记返回时，返回母小波系数。否则，如果为FALSE，这些系数不返回。
参数：aspect
The aspect argument permits the user to supply a function to modify the returned coefficients. The function is applied to the vector of coefficients before it is returned. This can be useful, say, with the complex DWT where you could supply aspect="Mod" if you wanted to return the modulus of the coefficients at a given resolution level. The default argument, "Identity", ensures that the coefficients are not modified before returning.
方面参数允许用户修改提供了一个函数返回的系数。返回之前被施加到该函数的系数向量。这可能是有用的，比如说，复杂的DWT，在那里你可以提供方面=“MOD”如果你想返回在给定的分辨率水平模量的系数。默认参数，“身份”，确保不被修改的系数，然后返回。
参数：...
any other arguments
任何其他参数
Details
详细信息----------Details----------
The need for this function is a consequence of the pyramidal structure of Mallat's algorithm and the memory efficiency gain achieved by storing the pyramid as a linear vector. AccessD obtains information about where the smoothed data appears from the fl.dbase component of an wd object, in particular the array
此功能的必要性是Mallat的算法和实现作为一个线性矢量存储金字塔内存效率增益的金字塔结构的一个后果。 AccessD获得平滑后的数据在哪里出现从fl.dbasewd对象组件的信息，特别是阵列
fl.dbase$first.last.d
fl.dbase$first.last.d
which gives a complete specification of index numbers and offsets for
这给出了一个完整规范的索引号和偏移量
wd.object$D.
wd.object$D。
Note that this function is a method for the generic function accessD.
请注意，这个函数是一个方法的通用函数accessD。
Note also that this function only retrieves information from wd class objects. To insert coefficients into wd objects you have to use the putD function (or more precisely, the putD.wd method).
还要注意的是此功能只从wd类对象中检索信息。要插入到wd对象的系数，你有使用putD功能（或更确切地说，putD.wd方法）。
值----------Value----------
A vector containing the mother wavelet coefficients at the required resolution level (the coefficients might have been modified depending on the value of the aspect argument).
一种向量，包含在所要求的分辨率级别（系数可能已被修改根据纵横参数的值）的母小波系数。
RELEASE----------RELEASE----------
Version 3.5.3 Copyright Guy Nason 1994
版本3.5.3版权所有盖利晨1994
（作者）----------Author(s)----------
G P Nason
参考文献----------References----------
Mallat, S. G. (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11, 674–693.
Nason, G. P. and Silverman, B. W. (1994). The discrete wavelet transform in S. Journal of Computational and Graphical Statistics, 3, 163–191
参见----------See Also----------
wr, wd, accessD, filter.select, threshold
wr，wd，accessD，filter.select，threshold
实例----------Examples----------
#[]
# Get the 4th resolution level of wavelet coefficients. [获取的第四分辨率级别的小波系数。]
#[]
dat <- rnorm(128)
accessD(wd(dat), level=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 17:11:43
