MATH 414 Lecture 27

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Wavelets

Haar scaling function: ϕ(x)={1x[0,1)0otherwise

Shifts: ϕ(xk)

"Sampling" spaces

  • Integers: V0={fL2f is constant on kx<k+1,k} (sampling interval has unit length 1)
  • Half-Integers: V1={fL2f is constant on k2x<k+12} (sampling interval has length 12)
  • Vj={fL2f is constant on k2jx<k+12j} (sampling interval has length 2j)
Note: As j increases, the "sampling" occurs at finer scales.


Properties

The following 5 properties institute a multi-resolution analysis.

Definition: The Vj's are called approximation spaces (or scaling spaces)

Nesting

Theorem. [Nesting.] The spaces Vj are nested:

Vj1VjVj+1

Proof by induction. V0V1.

If fV, then f is constant on 2jkx<2j(k+1). This implies that f is constant on 2(j+1)kx<2(j+1)(k+1) and on 2(j+1)(k+1)x<2(j+1)(k+2). Hence VjVj+1

The hypothesis follows by induction on j.

quod erat demonstrandum


Density

One can approximate any f in L2 arbitrarily well by functions in Vj if j is large enough.

jVj=L2


Separation

jVj={0}

Orthonormal Basis

Theorem. The set {2j2ϕ(2jxk)}k= is an orthonormal basis for Vj

Proof. We know from last time that ϕ(xk),ϕ(x)=δk,

2j2ϕ(2jxk)ϕ(2j)2j2dx=2jϕ(2jxk)ϕ(2jx)dx

If we let u=2jx, then

2jϕ(2jxk)ϕ(2jx)dx=ϕ(uk)ϕ(u)du=δk,
quod erat demonstrandum


Scaling Property

f(x)Vj if and only if f(2jx)V0



We know if fVj, then fVj+1 (nesting).

f=k=2j2ϕ(2j()k),fL22j2ϕ(2jxk)

Let akj=2j2ϕ(2j()k),fL2

akj=2jϕ(2jxk)f(x)dx=2j2jk2j(k+1)f(x)dx=12j2jk2j(k+1)f(x)dx

This integral represents the average value [1] over the interval [2jk,2j(k+1))


Footnotes

  1. Average value of function f given by f=1baabf(x)dx.