the m-band cardinal orthogonal scaling function
TRANSCRIPT
Applied Mathematics and Computation 215 (2010) 3271–3279
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Applied Mathematics and Computation
journal homepage: www.elsevier .com/ locate/amc
The M-band cardinal orthogonal scaling function
Guochang Wu a,*, Dengfeng Li b, Huimin Xiao a, Zhanwei Liu c
a College of Information, Henan University of Finance and Economics, Zhengzhou 450002, Chinab College of Mathematics and Information Science, Henan University, Kaifeng 475001, Chinac School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
a r t i c l e i n f o
Keywords:Sampling theoremCOSFWaveletFilter coefficientSymmetry property
0096-3003/$ - see front matter � 2009 Elsevier Incdoi:10.1016/j.amc.2009.10.015
* Corresponding author.E-mail address: [email protected] (G. Wu)
a b s t r a c t
The M-band symmetric cardinal orthogonal scaling function with compact support is ofinterest in several applications such as sampling theory, signal processing, computergraphics, and numerical algorithms. In this paper, we provide a complete mathematicalanalysis for the M-band symmetric cardinal orthogonal scaling function. Firstly, we gener-alize some results of the cardinal orthogonal scaling function from the special case M ¼ 2to the most general case M P 2. Also, we find some new results. Secondly, we obtain thecharacterizations of the M-band symmetric cardinal orthogonal scaling function and revisitsome known examples to prove our theory.
� 2009 Elsevier Inc. All rights reserved.
1. Introduction
The sampling theorem plays a crucial role in many fields such as signal processing, image processing and digital commu-nications: it tells us how to convert an analog signal into a sequence of numbers, which can be processed digitally or becoded on a computer. For a band-limited signal, the classical Shannon sampling theorem [1] provides an exact representa-tion by its uniform samples with sampling rate higher than its Nyquist rate.
In the classical Shannon sampling theorem, the interpolant is the modulated sinc function. The sinc function also plays arole of a special scaling function from a multiresolution analysis point of view [2]. Therefore, the sampling theorem was nat-urally extended to wavelet subspaces by Walter [3]. From then on, there exist many surprising results.
Walter gave a sampling theorem describing the reconstruction of a function f ðxÞ in a scaling space from its samples. Heshowed that, if a signal f ðtÞ is in the multiresolution space Vjðj 2 ZÞ, the equation
f ðxÞ ¼X
n
fn
2j
� �vð2jx� nÞ ð1:1Þ
holds, where the interpolant vðxÞ has its Fourier transform
vðxÞ ¼ uðxÞPnuðxþ 2npÞ ð1:2Þ
and uðxÞ ¼R
R uðxÞe�ixxdx is the Fourier transform of scaling function uðxÞ andP
nuðxþ 2npÞ – 0 for any real x. This the-orem does not require that the scaling function be cardinal (see below), i.e., the interpolant is generally not the same functionas the scaling function. Later, Janssen [4] extended Walter’s result to the uniform non-integer sampling which is also calledshift sampling by Zak transform.
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3272 G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279
In paper [5], Xia and Zhang considered the case in which uðxÞ is an orthogonal scaling function satisfying the propertyuðnÞ ¼ d0;nðn 2 ZÞ. They called it a cardinal orthogonal scaling function (COSF). They classified COSF and proved that a scalingfunction uðxÞ with compact support is a COSF if and only if uðxÞ is the Haar function. Furthermore, Wu et al. [6] gave somenew characterizations about COSF.
Thus, the Haar system is the only two-band orthogonal compactly supported system that possesses cardinal property.Also, Daubechies [7] proved that up to an integer shift and possible sign change, except for the Haar wavelet, thereexists no dyadic orthonormal wavelet which is symmetric or antisymmetric about some point on R. But it is well knownthat the symmetry of the function is very important in application. The compact support of the function is a desiredproperty, too.
It is very natural to consider using a dilation factor other than 2. In [8], Chui and Lian considered construction ofsymmetric and antisymmetric orthonormal wavelet with dilation factor 3. In [9], Han constructed symmetric and anti-symmetric orthonormal wavelet with dilation factor 4. In [10], Wang constructed new symmetric scaling functions andintroduced the Batman family of continuous symmetric scaling functions with very small supports. But few people dis-cuss their cardinality. Recently, two-band interpolating multiwavelet system has been much attention [11–14] due tothe fact that the cardinal multiscaling functions can simultaneously possess such as compactly supported, orthogonal-ity, symmetry and high approximation order. Naturally, they obtained sampling theorem in the multiwaveletsubspaces.
The aim of this paper is to provide a complete mathematical analysis for the M-band symmetric cardinal orthogonal scal-ing function. Of course, in general case, the situation is different. Firstly, we generalize some results of the cardinal orthog-onal scaling function from the special case M ¼ 2 in [5,6] to the most general case M P 2. Also, we find some new results.Secondly, we discuss the characterization of the M-band symmetric cardinal orthogonal scaling function and revisit someexamples to prove our theory.
Let us now describe the organization of the material that follows. Section 2 is of a preliminary character: it contains var-ious results on the M-band multiresolution analysis and M-band wavelet. In Section 3, we give a complete characterizationfor the M-band cardinal orthogonal scaling function from filter coefficient and the corresponding frequency response. In Sec-tion 4, we discuss the symmetry property of the M-band orthogonal scaling function and classify the M-band symmetric car-dinal orthogonal scaling function.
2. Preliminaries
In this section, we introduce some notations and some results that we will be used later in this paper.Throughout this paper, we use the following notations. R and Z denote the set of real numbers and the set of integers,
respectively. L2ðRÞ is the space of all square-integrable functions, and h�; �i and k�k denote the inner product and norm inL2ðRÞ, respectively, and lðZÞ denotes the space of all square-summable sequences. In this paper, a scaling function u is alwaysassumed orthogonal, real and piecewise continuous.
In the following, we will give various results on the M-band multiresolution analysis and M-band wavelet. People canrefer to the book [15] to know further theory of M-band wavelet.
Definition 1. A sequence of closed subspaces fVjgj2Z in L2ðRÞ is a multiresolution analysis of L2ðRÞ (MRA) if it satisfies thefollowing conditions:
� Vk � Vkþ1, for all k 2 Z;� f ðxÞ 2 Vk if and only if f ðMxÞ 2 Vkþ1, for all k 2 Z; M 2 Z and M P 2;�T
k2ZVk ¼ f0g andS
k2ZVk ¼ L2ðRÞ;� there is an element u 2 V0 such that fuð� � lÞgl2Z is an orthonormal basis of V0.
By the definition of multiresolution analysis above, u satisfies a dilation equation (or sometimes, we call it refinable equa-tion) of the form
uðxÞ ¼Xk2Z
hkuðMx� kÞ: ð2:1Þ
By taking the Fourier transform on the two side of (2.1), we obtain
uðxÞ ¼ HxM
� �u
xM
� �; ð2:2Þ
where
HðxÞ ¼ 1M
Xk
hke�ikx: ð2:3Þ
G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279 3273
A necessary condition for orthogonality is
XM�1
s¼0
H xþ 2spM
� ���������2 ¼ 1; ð2:4Þ
this is equivalent to
Xk2Zhkhk�Ml ¼ Md0;l: ð2:5Þ
Furthermore, fhkgk2Z satisfies:
Xk2Zhk ¼ M ð2:6Þ
For any orthogonal MRA with scaling function u, there exist the functions wiðxÞð1 6 i 6 M � 1Þ such that the system
fwiðx� kÞ : i 2 Z;1 6 i 6 M � 1; k 2 Zg;
forms an orthonormal basis of W0 ¼: V1 � V0.Since the functions wiðxÞð1 6 i 6 M � 1Þ 2 V1, we easily get
wiðxÞ ¼Xk2Z
gikuðMx� kÞ; ð2:7Þ
where the functions wiðxÞð1 6 i 6 M � 1Þ 2 V1 are called the multiwavelet functions.By taking the Fourier transform on the two side of (2.7), we obtain
cwiðxÞ ¼ Gi xM
� �u
xM
� �; ð2:8Þ
where
GiðxÞ ¼ 1M
Xk
gike�ikx: ð2:9Þ
3. The M-band cardinal orthogonal scaling function
It is clear that, for an M-band cardinal orthogonal scaling function uðxÞ, the standard sampling theorem
f ðxÞ ¼X
n
fnM
� �uðMx� nÞ; 8f ðxÞ 2 V0ðuÞ
holds. In order to obtain the sampling theorem in the wavelet subspaces, it is sufficient to classify the cardinal orthogonalscaling function.
Thus, in this section, we will be devoted to classifying the M-band cardinal orthogonal scaling function.Let uðxÞ be an M-band COSF. Suppose the scaling function uðxÞ and the sequence fhkgk2Z satisfy (2.1). Then, we have
uðnÞ ¼Xk2Z
hkuðMn� kÞ: ð3:1Þ
Since uðnÞ ¼ d0;nðn 2 ZÞ, we have
uðnÞ ¼ hMn:
Thus, we get
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z: ð3:2Þ
Conversely, if the sequence fhkgk2Z satisfies (3.2), we can get that
H�ðxÞ :¼Xk2Z
hMke�ikx ¼ 1: ð3:3Þ
From (3.1), we get
u�ðxÞ ¼ H�1M
x� �
u�1M
x� �
;
where
u�ðxÞ ¼Xn2Z
uðnÞe�inx; H�ðxÞ ¼Xk2Z
hke�ikx:
3274 G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279
According to (3.3), we have
u�ðxÞ ¼ u�1M
x� �
:
By repeating above equality, we have
u�ðxÞ ¼ u�1
M2 x� �
¼ � � � ¼ u�1
Mjx
� �:
Fix x 2 R, let j! þ1, we have u�ðxÞ ¼ u�ð0Þ. Suppose that u�ð0Þ ¼ 1, we get
u�ðxÞ ¼ 1:
That is
Xn2ZuðnÞe�inx ¼ 1
and
ðuð0Þ � 1Þe�i0x þXn–0
uðnÞe�inx ¼ 0:
Since feinxgn2Z is an orthogonal base of the space L2½�p;p�, we have uðnÞ ¼ d0;nðn 2 ZÞ, i.e., uðxÞ is cardinal.Therefore, we get
Theorem 1. Define u�ðxÞ ¼P
n2ZuðnÞe�inx. If u�ð0Þ ¼ 1, then the scaling function uðxÞ is an M-band COSF if and only if thesequence fhkgk2Z satisfies
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z:
In the remaining part, we suppose that u�ðxÞ satisfies u�ð0Þ ¼ 1 for the sake of convenience.
Let M ¼ 2, so we get a result in [5]:
Corollary 1. A scaling function uðxÞ is a COSF with 2-band if and only if
h0 ¼ 1; h2k ¼ 0; for k – 0; k 2 Z:
Let £ðMÞ ¼ f. . . ;�2M;�M;0;M;2M; . . .g and RðMÞ ¼ f0;1;2; . . . ;M � 1g, where £ðMÞ is a lattice generated by M, and RðMÞis the set of representatives of £ðMÞ. In this way, the scaling filter coefficient fhkg can be represented by its polyphase com-ponents or subfilter coefficients, i.e.,
HðxÞ ¼ 1M
Xk2Z
hke�ikx ¼ 1M
Xj2RðMÞ
Xn2Z
hj;ne�iðMnþjÞx ¼ 1M
Xj2RðMÞ
e�ijxHjðMxÞ;
where hj;k ¼: hMkþj are referred to as the subfilter coefficients, and HjðxÞ ¼:P
n2Zhj;ne�inx are the polyphase components.From (2.5), we have
XM�1
i¼0
XM�1
j¼0
Xk2Z
Xn2Z
hi;khj;n ¼ Mdi;jdk;n: ð3:4Þ
If uðxÞ is an M-band COSF, by (3.2), we have
h0;0 ¼ 1; h0;k ¼ 0; for k – 0; k 2 Z: ð3:5Þ
Combining (2.6) and (3.5), we easily have
XM�1
j¼1
Xk2Z
hj;k ¼ M � 1: ð3:6Þ
Combining (3.4) and (3.5), we obtain
M ¼XM�1
i¼0
Xk2Z
h2i;k ¼ 1þ
XM�1
i¼1
Xk2Z
h2i;k:
Thus, we deduce
XM�1
j¼1
Xk2Z
h2j;k ¼ M � 1: ð3:7Þ
G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279 3275
Furthermore, we have
XM�1
j¼1
HjðxÞH�j ðxÞ ¼1
M2
XM�1
j¼1
Xk2Z
Xn2Z
hj;khj;ne�ikxeinx ¼ 1M2
XM�1
j¼1
Xk2Z
Xn2Z
hj;khj;ne�iðk�nÞx
from (3.4) and (3.7), we get
XM�1
j¼1
HjðxÞH�j ðxÞ ¼1
M2
XM�1
j¼1
Xk2Z
h2j;k ¼
M � 1M2 :
As a result, we have
XM�1
j¼1
HjðxÞH�j ðxÞ ¼M � 1
M2 : ð3:8Þ
Therefore, by (3.2), we get
HðxÞ ¼ 1M
Xk2Z
hke�ikx ¼ 1M
XM�1
j¼0
Xn2Z
hj;ne�iðMnþjÞx ¼ 1M
XM�1
j¼0
e�ijxHjðMxÞ ¼ 1Mþ 1
M
XM�1
j¼1
e�ijxHjðMxÞ:
Conversely, if HðxÞ ¼ 1M þ 1
M
PM�1j¼1 e�ijxHjðMxÞ, then we easily get
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z:
By the previous argument, we know that the function uðxÞ is cardinal.In conclusion, we have proved the following theorem:
Theorem 2. The scaling function uðxÞ is an M-band COSF if and only if
HðxÞ ¼ 1Mþ 1
M
XM�1
j¼1
e�ijxHjðMxÞ;
where HjðxÞ ¼P
n2Zhj;ne�inx;hj;k ¼ hMkþj ðk 2 Z; j ¼ 1;2;3; . . . ;M � 1Þ and HjðxÞ satisfy (3.8).
Let M ¼ 2, so we get Theorem 1 in [5]:
Corollary 2. Let the scaling function uðxÞ and the sequence fhkgk2Z satisfy (2.1) with M ¼ 2. Then a scaling function uðxÞ is COSFif and only if
HðxÞ ¼ 12þ 1
2eHð2xÞeix;
where HðxÞ ¼ 12
Pkhkeikx; eHðxÞ ¼Pk
~hkeikx with ~hk ¼ h2kþ1; jeHðxÞj 1.
By Theorems 1 and 2, we gives some characterizations of an M-band COSF from lowpass filter coefficient and the corre-sponding frequency response. Then we will classify an M-band COSF from the relation between the highpass filter coefficientand wavelet. we deduce that there is a relation between the highpass filter coefficient and wavelet’s samples in its integerpoints.
Theorem 3. A scaling function uðxÞ is an M-band COSF if and only if any wavelet functions wjðxÞð1 6 j 6 M � 1Þ satisfy
wjðkÞ ¼ gjMk; k 2 Z ð3:9Þ
and GjðxÞ :¼P
k2Zgjke�ikx – 0; 8x 2 R.
Proof (Necessity). We firstly assume the function uðxÞ is an M-band COSF. By (2.7), we have
wjðkÞ ¼Xn2Z
gjnuðMk� nÞ; 1 6 j 6 M � 1:
According to uðnÞ ¼ d0;nðn 2 ZÞ, we obtain
wjðkÞ ¼ gjMk; k 2 Z; 1 6 j 6 M � 1:
Sufficiency: Again by (2.7), we have
wjðnÞ ¼Xk2Z
gjkuðMn� kÞ:
By taking the discrete Fourier transform on the two side, we have
3276 G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279
Xn2Z
wjðnÞe�inx ¼X
n
Xk2Z
gjkuðMn� kÞe�inx;
then
Xn2ZwjðnÞe�inx ¼Xn02Z
uðn0Þe�1Min0x
Xk2Z
gjke�
1Mikx:
Let
^wj�ðxÞ ¼Xn2Z
wjðnÞe�inx; GjðxÞ ¼Xk2Z
gjke�ikx;
u�ðxÞ ¼Xn02Z
uðn0Þe�in0x;
we get
^wj�ðxÞ ¼ Gj 1M
x� �
u�1M
x� �
:
When Eq. (3.9) holds, we have
Gj 1M
x� �
¼Xk2Z
gjke�
1Mikx ¼
Xk02Z
gjMk0
e�ik0x ¼ ^wj�ðxÞ:
Because of the condition that GjðxÞ – 0; 8x 2 R, we get u�ðxÞ ¼ 1. From the proof of Theorem 1, we haveuðnÞ ¼ d0;nðn 2 ZÞ. Therefore, we conclude that uðxÞ is an M-band COSF.
This completes the proof. h
In fact, by the above proof, we can get a weaker result:
Property 1. If there exists a wavelet function wi0 ðxÞ ð1 6 i0 6 M � 1Þ satisfying
wi0 ðkÞ ¼ gi0Mk; k 2 Z
and Gi0 ðxÞ :¼P
k2Zgi0k eikx – 0; 8x 2 R, then the scaling function uðxÞ is an M-band COSF. Furthermore, we have that other any
wavelet functions wjðxÞ ð1 6 j 6 M � 1; j – i0Þ satisfy
wjðkÞ ¼ gjMk; k 2 Z:
By above discuss, we can obtain a complete characterization about the M-band cardinal orthogonal scaling function:
Theorem 4. Let the scaling function uðxÞ and fhkgk2Z satisfy (2.1), the multiwavelet functions wjðxÞ ð1 6 j 6 M � 1Þ satisfy (2.7).Then, the following statements are equivalent:
(1) The scaling function uðxÞ is an M-band COSF;(2) The sequence fhkgk2Z satisfies
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z;
(3) The function HðxÞ satisfies
HðxÞ ¼ 1Mþ 1
M
XM�1
j¼1
e�ijxHjðMxÞ;
where HjðxÞ ¼P
n2Zhj;ne�inx, hj;k ¼ hMkþj ðk 2 Z; j ¼ 1;2;3; . . . ;M � 1Þ and HjðxÞ satisfy (3.8).(4) Any wavelet functions wjðxÞ ð1 6 j 6 M � 1Þ satisfy
wjðkÞ ¼ gjMk; k 2 Z;
and GjðxÞ :¼P
k2Zgjke�ikx – 0; 8x 2 R.
In the following, we give two examples of the M-band cardinal orthogonal scaling function. We refer to some facts of the
paper [16].Example 1 (Haar function). Let the uðxÞ be characteristic function of an interval [0,1], i.e.,
uðxÞ ¼ 1; x 2 ½0;1Þ;0; x 2 ð�1;0Þ [ ½1;þ1Þ:
�
It is to see, that for any natural M
uðxÞ ¼ uðMxÞ þuðMx� 1Þ þ � � � þuðMx�M þ 1Þ ¼Xn2Z
hnuðMx� nÞ;
G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279 3277
where hn ¼ 1ðn ¼ 0;1;2; . . . ;M � 1Þ and hn ¼ 0 (n are other integers).Furthermore, we get
HðxÞ ¼ 1M
1þ e�ix þ e�i2x þ � � � þ e�iðM�1Þx� ¼ 1
Me�iðM�1Þx2
sin Mx2
sin x2
:
It is obvious that the Haar scaling function satisfies the property uðnÞ ¼ d0;nðn 2 ZÞ, or equivalently, the sequence fhkgk2Z
satisfies
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z:
thus, we have that the scaling function uðxÞ is an M-band COSF, and the sequences fhj;k ¼: hMkþjg ðk 2 Z; j ¼ 1;2;3; . . . ;M � 1Þdefined in Theorem 3 have the form
h0;0 ¼ 1; hj;k ¼ 0; for k – 0; k 2 Z:
Therefore, we can deduce that the corresponding frequency function of each subfilter HjðxÞ is 1M e�ix. In fact, the M-band
Haar wavelet can be regarded as the synthesis of M 2-band Haar wavelet.
Example 2 (Kotelnikov–Shannon scaling function). Let the uðxÞ be Kotelnikov–Shannon scaling function: uðxÞ ¼ sinðpxÞpx , then
the scaling equation (2.1) has the following form [16]:
uðxÞ ¼Xn2Z
hnsinðpðMx� nÞÞ
pðMx� nÞ ;
where
hn ¼Mpn
sinpnM:
It is obvious that the Kotelnikov–Shannon scaling function satisfies the property uðnÞ ¼ d0;nðn 2 ZÞ, or equivalently, thesequence fhkgk2Z satisfies
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z:
thus, we have that the Kotelnikov–Shannon scaling function uðxÞ is an M-band COSF. The sequencesfhj;k ¼: hMkþjg ðk 2 Z; j ¼ 1;2;3; . . . ;M � 1Þ defined in Theorem 3 have the form
hj;k ¼M
pðkM þ jÞ sinpðkM þ jÞ
M¼ M
pðkM þ jÞ sin pkþ jpM
� �¼ M
pðkM þ jÞ sinðpkÞ cosjpM
� �þ cosðpkÞ sin
jM
p� �� �
¼ MpðkM þ jÞ ð�1Þk sin
jM
p� �
:
4. The M-band symmetric cardinal orthogonal scaling function
In this section, we will consider the M-band symmetric cardinal orthogonal scaling function.At first, we will consider the symmetry property of the M-band orthogonal scaling function. In the following, we will give
the definition of the symmetry:
Definition 2. A function f ðxÞ is symmetric about the point a if
f ðaþ xÞ ¼ f ða� xÞ; for all x:
The function f ðxÞ is antisymmetric about the point a if
f ðaþ xÞ ¼ �f ða� xÞ; for all x:
Note that a scaling function cannot be antisymmetric, since antisymmetric functions automatically have integral zero.However, a wavelet function can be symmetric or antisymmetric.
Then, we will classify the M-band symmetric orthogonal scaling function as following:
Theorem 5. Let the scaling function uðxÞ and fhkgk2Z satisfy (2.1). Then, the following statements are equivalent:
(1) The scaling function uðxÞ is symmetric about the point a ða 2 ZÞ;(2) uðxÞ ¼ e2iaxuðxÞ; a 2 Z;(3) The lowpass coefficient satisfies:
3278 G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279
hk ¼ hð2M�2Þa�k; a 2 Z;
(4) HðxÞ ¼ eið2M�2ÞaxHðxÞ; a 2 Z;
Proof. We will firstly prove that (2)) (1).Suppose that uðxÞ ¼ e2iaxuðxÞða 2 ZÞ hold.Notice that the equality uðaþ xÞ ¼ uða� xÞ is equivalent to uðxÞ ¼ uð2a� xÞ, by the definition of inverse Fourier
transform, we have
uð2a� xÞ ¼ 12p
ZRðuð2a� �ÞÞðxÞeixxdx ¼ 1
2p
ZR
ZRðuð2a� xÞÞe�ixxdxeixxdx ¼ 1
2p
ZR
ZRðuðtÞÞe�ið2a�tÞxdt eixxdx
¼ 12p
ZR
e�i2axZ
RuðtÞeitxdt eixxdx ¼ 1
2p
ZRuðxÞe�2iax eixxdx ¼ 1
2p
ZRuðxÞeixxdx ¼ uðxÞ;
where the sixth equality is obtain by the condition uðxÞ ¼ e2iaxuðxÞ.Thus, we deduce that the scaling function uðxÞ is symmetric about the point a.Secondly, we will prove that (1)) (3).Suppose that the equality uðaþ xÞ ¼ uða� xÞ hold.Then, we obtain
uðaþ xÞ ¼Xk2Z
hkuðMxþMa� kÞ ¼Xk2Z
hkuðaþ ðMxþ ðM � 1Þa� kÞÞ ¼Xk2Z
hkuða� ðMxþ ðM � 1Þa� kÞÞ
¼Xk2Z
hkuð�Mxþ ð2�MÞaþ kÞÞ ¼Xk2Z
hkþðM�2Þauð�Mxþ kÞÞ
and
uða� xÞ ¼Xk2Z
hku �MxþMa� kð Þ ¼Xk02Z
hMa�ku �Mxþ kð Þ;
so we get
hkþðM�2Þa ¼ hMa�k;
i.e.,
hk ¼ hð2M�2Þa�k:
Thirdly, we will prove that (3)) (4).If the equality hk ¼ hð2M�2Þa�k holds, we have
HðxÞ ¼ 1M
Xk
hkeikx ¼ 1M
Xk
hð2M�2Þa�keikx ¼ 1M
Xk
hkeiðð2M�2Þa�kÞx ¼ eið2M�2Þax 1M
Xk
hkeið�kÞx ¼ eið2M�2ÞaxHðxÞ:
In the end, we will prove that (4)) (2).If the equality HðxÞ ¼ eið2M�2ÞaxHðxÞ holds, we get
uðxÞ ¼Yþ1k¼1
HðM�kxÞ ¼Yþ1k¼1
eið2M�2ÞaM�kxHðM�kxÞ ¼ uðxÞYþ1k¼1
eið2M�2ÞaM�kx ¼ uðxÞeið2M�2Þax
Pþ1k¼1
M�k
¼ e2iaxuðxÞ:
As a result, we complete the proof. h
Thus, from Theorems 4 and 5, we obtain a characterization of the M-band symmetric cardinal orthogonal scaling function:
Theorem 6. The scaling function uðxÞ is an M-band symmetric cardinal orthogonal scaling function which is symmetric about thepoint a if and only if the sequence fhkgk2Z satisfies
h0 ¼ 1; hMk ¼ 0; for k – 0; k 2 Z;
and hk ¼ hð2M�2Þa�k.
Then, we will construct some examples of the M-band symmetric cardinal orthogonal scaling function.In [10], authors introduced a way to construct the M-band orthogonal scaling function as follows:
Theorem 7. Suppose that PðtÞ ¼ G2ðtÞ, or PðtÞ ¼ 1þt2 G2ðtÞ, where GðtÞ is a real-valued function and Gð1Þ ¼ 1. Then there exists a
unique the sequence fhkgk2Z such that jHðxÞj2 ¼ Pðcos xÞ.
G. Wu et al. / Applied Mathematics and Computation 215 (2010) 3271–3279 3279
Example 3. Let
GðxÞ ¼ 1þ ð1� cos xÞðc1 cos xþ c2 cos 2xÞ:
By choosing appropriate c1; c2, they deduced that the sequence fhkgk2Z has the form
. . . ;0; 0;a;12;1� a;1; . . . ;1|fflfflfflffl{zfflfflfflffl}
M�3
;1� a;12;a;0;0; . . . ;
8<:
9=;
where a ¼ 12þ
ffiffi6p
4 . They named the corresponding scaling function as the Batman scaling function.We easily see, when M is odd, the sequence fhkgk2Z is symmetric. And it is obvious that fhkgk2Z satisfy (3.2). Therefore, the
corresponding scaling function is an M-band symmetric cardinal orthogonal scaling function.
Example 4. Let M ¼ 5 and choose
GðxÞ ¼ ð1þ 4ð1� cos xÞ � 83ð1� cos xÞ2Þ2:
By Theorem 7, the sequence fhkgk2Z which has the form
115
. . . ; 0;0;�2;�2;1;6;9;16;19;16; ;9;6;1;�2;�2; 0;0; . . .f g
is the lowpass filter coefficient of a 5-band symmetric orthogonal scaling function.Notice that the sequence fhkgk2Z does not satisfy (3.2), so this 5-band symmetric orthogonal scaling function is not
cardinal.
Acknowledgements
The authors would like to express their gratitude to the referee for his (or her) valuable comments and suggestions thatlead to a significant improvement of our manuscript. This work was supported by Innovation Scientists and TechniciansTroop Construction Projects of Henan Province (No. 084100510012) and the National Natural Science Foundation of China(No. 60774041).
References
[1] C.E. Shannon, Communication in the presence of noise, Proc. IRE 37 (1949) 10–21.[2] R.L. Long, High-dimensional Wavelet Analysis, World Publishing Corp., 1995.[3] G.G. Walter, A sampling theorem for wavelet subspaces, IEEE Trans. Inform. Theor. 38 (1992) 881–884.[4] A.J.E.M. Janssen, The Zak transform and sampling theorems for wavelet subspaces, IEEE Trans. Signal Process. 41 (1993) 3360–3365.[5] X.G. Xia, Z. Zhang, On sampling theorem, wavelet and wavelet transforms, IEEE Trans. Signal Process. 41 (1993) 3524–3535.[6] G.C. Wu, Z.X. Cheng, X.H. Yang, The cardinal orthogonal scaling function and sampling theorem in the wavelet subspaces, Appl. Math. Comput. 194
(2007) 199–214.[7] I. Daubechies, Orthonormal bases of compactly supported wavelets, Commun. Pure Appl. Math. 41 (1988) 909–999.[8] C.K. Chui, J.A. Lian, Construction of compactly supported symmetric and antisymmetric orthonormal wavelets with scale = 3, Appl. Comput. Harmon.
Anal. 2 (1995) 21–51.[9] B. Han, Symmetric orthonormal scaling functions and wavelets with dilation factor 4, Appl. Comput. Harmon. Anal. 8 (1998) 21–247.
[10] E. Belogay, Y. Wang, Construction of compactly supported symmetric scaling functions, Appl. Comput. Harmon. Anal. 6 (1999) 137–150.[11] D.X. Zhou, Interpolatory orthogonal multiwavelets and refinable functions, IEEE Trans. Signal Process. 50 (2002) 520–527.[12] I.W. Selesnick, Interpolating multiwavelet bases and the sampling theorem, IEEE Trans. Signal Process. 47 (1999) 1615–1621.[13] K. Koch, Interpolating scaling vectors, Int. J. Wavelets Multiresolut. Inform. Process. 3 (2005) 389–416.[14] R. Li, G.C. Wu, The orthogonal interpolating balanced multiwavelet with rational coefficients, Chaos Solitons Fract. 41 (2009) 892–899.[15] D.R. Huang, N. Bi, Q.Y. Sun, The Multi-system Wavelet Analysis, Zhejiang University Press, Hangzhou, 2001.[16] N.K. Smolentsev, P.N. Podkur, Construction of some types wavelets with coefficient of scaling N, Available from: <arXiv:math/0612573v2[math.FA]>.