wavelet.filter(waveslim)
wavelet.filter()所属R语言包：waveslim
Higher-Order Wavelet Filters
高阶小波滤波器
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Create a wavelet filter at arbitrary scale.
在任意规模的小波滤波器。
用法----------Usage----------
参数----------Arguments----------
参数：wf.name
Character string of wavelet filter.
小波滤波器的字符串。
参数：filter.seq
Character string of filter sequence. H means high-pass filtering and L means low-pass filtering. Sequence is read from right to left.
的过滤器序列的字符的字符串。 H是指高通滤波和L是指低通滤波。读取序列是由右至左。
参数：n
Length of zero-padded filter. Frequency resolution will be n/2+1.
零填充的过滤器的长度。频率分辨率将n/ 2 +1。
Details
详细信息----------Details----------
Uses cascade subroutine to compute higher-order wavelet coefficient vector from a given filtering sequence.
使用cascade的子程序从一个给定的过滤序列计算高阶小波系数向量。
值----------Value----------
Vector of wavelet coefficients.
向量的小波系数。
（作者）----------Author(s)----------
B. Whitcher
参考文献----------References----------
Applied Wavelet Analysis with S-PLUS, Springer: New York.
On the least asymmetric wavelets, IEEE Transactions on Signal Processing, 46, No. 4, 1125-1130.
Ten Lectures on Wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics, SIAM: Philadelphia.
Minimum-bandwidth discrete-time wavelets, Signal Processing, 76, No. 2, 181-193.
On the Construction and Frequency Localization of Finite Orthogonal Quadrature Filters, Journal of Approximation Theory, 108, No. 1, 36-52.
参见----------See Also----------
squared.gain, wave.filter.
squared.gain，wave.filter。
实例----------Examples----------
## Figure 4.14 in Gencay, Selcuk and Whitcher (2001)[＃图4.14在Gencay，塞尔丘克和Whitcher的中（2001年）]
par(mfrow=c(3,1), mar=c(5-2,4,4-1,2))
f.seq <- "HLLLLL"
plot(c(rep(0,33), wavelet.filter("mb4", f.seq), rep(0,33)), type="l",
xlab="", ylab="", main="D(4) in black, MB(4) in red")
lines(c(rep(0,33), wavelet.filter("d4", f.seq), rep(0,33)), col=2)
plot(c(rep(0,35), -wavelet.filter("mb8", f.seq), rep(0,35)), type="l",
xlab="", ylab="", main="D(8) in black, -MB(8) in red")
lines(c(rep(0,35), wavelet.filter("d8", f.seq), rep(0,35)), col=2)
plot(c(rep(0,39), wavelet.filter("mb16", f.seq), rep(0,39)), type="l",
xlab="", ylab="", main="D(16) in black, MB(16) in red")
lines(c(rep(0,39), wavelet.filter("d16", f.seq), rep(0,39)), col=2)
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 17:10:11
