Coiflet

Coiflet with two vanishing moments

Coiflets are discrete wavelets designed by Ingrid Daubechies, at the request of Ronald Coifman, to have scaling functions with vanishing moments. The wavelet is near symmetric, their wavelet functions have vanishing moments and scaling functions , and has been used in many applications using Calderón–Zygmund operators.[1][2]

Theory

Some theorems about Coiflets:[3]

Theorem 1

For a wavelet system , the following three equations are equivalent:

and similar equivalence holds between and

Theorem 2

For a wavelet system , the following six equations are equivalent:

and similar equivalence holds between and

Theorem 3

For a biorthogonal wavelet system , if either or possesses a degree L of vanishing moments, then the following two equations are equivalent:

for any such that

Coiflet coefficients

Both the scaling function (low-pass filter) and the wavelet function (high-pass filter) must be normalised by a factor . Below are the coefficients for the scaling functions for C6–30. The wavelet coefficients are derived by reversing the order of the scaling function coefficients and then reversing the sign of every second one (i.e. C6 wavelet = {−0.022140543057, 0.102859456942, 0.544281086116, −1.205718913884, 0.477859456942, 0.102859456942}).

Mathematically, this looks like , where k is the coefficient index, B is a wavelet coefficient, and C a scaling function coefficient. N is the wavelet index, i.e. 6 for C6.

Coiflets coefficients (normalized to have sum 2)
k C6 C12 C18 C24 C30
−10 −0.0002999290456692
−9 0.0005071055047161
−8 0.0012619224228619 0.0030805734519904
−7 −0.0023044502875399 −0.0058821563280714
−6 −0.0053648373418441 −0.0103890503269406 −0.0143282246988201
−5 0.0110062534156628 0.0227249229665297 0.0331043666129858
−4 0.0231751934774337 0.0331671209583407 0.0377344771391261 0.0398380343959686
−3 −0.0586402759669371 −0.0930155289574539 −0.1149284838038540 −0.1299967565094460
−2 −0.1028594569415370 −0.0952791806220162 −0.0864415271204239 −0.0793053059248983 −0.0736051069489375
−1 0.4778594569415370 0.5460420930695330 0.5730066705472950 0.5873348100322010 0.5961918029174380
0 1.2057189138830700 1.1493647877137300 1.1225705137406600 1.1062529100791000 1.0950165427080700
1 0.5442810861169260 0.5897343873912380 0.6059671435456480 0.6143146193357710 0.6194005181568410
2 −0.1028594569415370 −0.1081712141834230 −0.1015402815097780 −0.0942254750477914 −0.0877346296564723
3 −0.0221405430584631 −0.0840529609215432 −0.1163925015231710 −0.1360762293560410 −0.1492888402656790
4 0.0334888203265590 0.0488681886423339 0.0556272739169390 0.0583893855505615
5 0.0079357672259240 0.0224584819240757 0.0354716628454062 0.0462091445541337
6 −0.0025784067122813 −0.0127392020220977 −0.0215126323101745 −0.0279425853727641
7 −0.0010190107982153 −0.0036409178311325 −0.0080020216899011 −0.0129534995030117
8 0.0015804102019152 0.0053053298270610 0.0095622335982613
9 0.0006593303475864 0.0017911878553906 0.0034387669687710
10 −0.0001003855491065 −0.0008330003901883 −0.0023498958688271
11 −0.0000489314685106 −0.0003676592334273 −0.0009016444801393
12 0.0000881604532320 0.0004268915950172
13 0.0000441656938246 0.0001984938227975
14 −0.0000046098383254 −0.0000582936877724
15 −0.0000025243583600 −0.0000300806359640
16 0.0000052336193200
17 0.0000029150058427
18 -0.0000002296399300
19 −0.0000001358212135

Matlab function

F = coifwavf(W) returns the scaling filter associated with the Coiflet wavelet specified by the string W where W = "coifN". Possible values for N are 1, 2, 3, 4, or 5.[4]

References

  1. ^ G. Beylkin, R. Coifman, and V. Rokhlin (1991),Fast wavelet transforms and numerical algorithms, Comm. Pure Appl. Math., 44, pp. 141–183
  2. ^ Ingrid Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, 1992, ISBN 0-89871-274-2
  3. ^ "COIFLET-TYPE WAVELETS: THEORY, DESIGN, AND APPLICATIONS" (PDF). Archived from the original (PDF) on 2016-03-05. Retrieved 2015-01-22.
  4. ^ "coifwavf". www.mathworks.com. Retrieved 22 January 2015.

Content Disclaimer

Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.

  1. The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
  2. There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
  3. It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
  4. Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
  5. Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.