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DISCRETE WAVELET TRANSFORMS IN WALSH ANALYSIS

A review of discrete wavelet transforms defined through Walsh functions and used for image processing, compression of fractal signals, analysis of financial time series, and analysis of geophysical data is presented. Relationships of the discrete transforms considered with wavelet bases recently constructed and frames on the Cantor and Vilenkin groups are noted.

A review of discrete wavelet transforms defined through Walsh functions and used for image processing, compression of fractal signals, analysis of financial time series, and analysis of geophysical data is presented. Relationships of the discrete transforms considered with wavelet bases recently constructed and frames on the Cantor and Vilenkin groups are noted.

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We choose a number α ∈ (0, 1) and consider the case where the components of the vector b are

given by the equalities

{

α, if k =0ork = N − 1,

b k =

1, otherwise.

Then for Φ a N

(x), the following equality holds:

NΦ a N (x) =D N (x) − (1 − α)(1 + w N−1 (x)),

where

D N (x) :=

N−1

j=0

w j (x) =

{

N, x ∈ [0,N −1 ),

0, x ∈ [N −1 , 1).

The last equality expresses the well-known property of Dirichlet–Walsh-type kernels (see, e.g., [25,

Sec. 1.5]).

For any functions f n ∈ V n and g n ∈ W n , the following equalities are valid:

where

f n (x) =

N−1

k=0

g (s)

n

p−1

C n,k ϕ n,k (x), g n (x) =

N−1

(x) = ∑

In these formulas, the sequences of coefficients

C n = {C n,k },

D (s)

n

k=0

D (s)

n,k ψ(s) n,k (x).

s=0

g n

(s) (x),

= {D (s)

n,k

}, 1 ≤ s ≤ p − 1,

are uniquely determined by f n and g n , respectively. As was shown in [13], an arbitrary function

f n+1 ∈ V n+1 can be decomposed into the direct sum of the functions f n ∈ V n and g n

(s) ∈ W n

(s) ,and

also f n+1 can be reconstructed from this decomposition by using the following discrete transforms.

1. The direct periodic discrete wavelet transform

∑p−1

N−1

C n,ν = A (n)

pk+j,ν C n+1,pk+j, D (s)

where

j=0 k=0

p−1

n,ν = ∑

j=0

B (n)

pν+j,s C n+1,pν+j, 0 ≤ ν ≤ N − 1, (14)

1

⎧⎪ ⎨

A (n)

pk+j,ν = p + 1 − α

αpN , ν = k,

B (n)

⎪ ⎩ ε γ(ν)−γ(k) 1 − α

p

αpN , ν ≠ k, pk+j,s = p−1 ε −js

p .

Recall that we denote by γ(k) the sum of digits in p-ary decomposition of the number k.

2. The inverse periodic discrete wavelet transform

where

134

C n+1,pk+j =

N−1

ν=0

Q (n)

pk+j,ν C ∑

n,ν +

Q (n)

⎪⎨ 1 − ε γ(ν)

pk+j,ν = p

⎪ ⎩ − ε γ(ν)

p

p−1

ε js

p D (s)

n,k

s=1

, 0 ≤ k ≤ N − 1, 0 ≤ j ≤ p − 1, (15)

(1 − α) γ n+1,pk+j

, k = ν,

N

(1 − α) γ n+1,pk+j

, k ≠ ν.

N

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