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Strömberg wavelet

Strömberg wavelet is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Strömberg wavelet rather than just read about it. In short: In mathematics, the Strömberg wavelet is a certain orthonormal wavelet discovered by Jan-Olov Strömberg and presented in a paper published in 1983. Even though the Haar wavelet was earlier known to be an orthonormal wavelet, Strömberg wavelet was the first smooth orthonormal wavelet to be discovered.

Strömberg wavelet — main illustration
Strömberg wavelet — illustration

Key takeaways

  • Strömberg wavelet belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Strömberg wavelet to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Strömberg wavelet from memory before moving on to harder problems.

Reference excerpt

In mathematics, the Strömberg wavelet is a certain orthonormal wavelet discovered by Jan-Olov Strömberg and presented in a paper published in 1983. Even though the Haar wavelet was earlier known to be an orthonormal wavelet, Strömberg wavelet was the first smooth orthonormal wavelet to be discovered. The term wavelet had not been coined at the time of publishing the discovery of Strömberg wavelet and Strömberg's motivation was to find an orthonormal basis for the Hardy spaces.

Definition Let m be any non-negative integer. Let V be any discrete subset of the set R of real numbers. Then V splits R into non-overlapping intervals. For any r in V, let Ir denote the interval determined by V with r as the left endpoint. Let P(m)(V) denote the set of all functions f(t) over R satisfying the following conditions:

f(t) is square integrable. f(t) has continuous derivatives of all orders up to m. f(t) is a polynomial of degree m + 1 in each of the intervals Ir. If A0 = {. . . , -2, -3/2, -1, -1/2} ∪ {0} ∪ {1, 2, 3, . . .} and A1 = A0 ∪ { 1/2 } then the Strömberg wavelet of order m is a function Sm(t) satisfying the following conditions:

S m ( t ) ∈ P ( m ) ( A 1 ) . {\displaystyle S^{m}(t)\in P^{(m)}(A_{1}).}

‖ S m ( t ) ‖ = 1 {\displaystyle \Vert S^{m}(t)\Vert =1} , that is, ∫ R | S m ( t ) | 2 d t = 1. {\displaystyle \int _{R}\vert S^{m}(t)\vert ^{2}\,dt=1.}

S m ( t ) {\displaystyle S^{m}(t)} is orthogonal to P ( m ) ( A 0 ) {\displaystyle P^{(m)}(A_{0})} , that is, ∫ R S m ( t ) f ( t ) d t = 0 {\displaystyle \int _{R}S^{m}(t)\,f(t)\,dt=0} for all f ( t ) ∈ P ( m ) ( A 0 ) . {\displaystyle f(t)\in P^{(m)}(A_{0}).}

Properties of the set P(m)(V) The following are some of the properties of the set P(m)(V):

Let the number of distinct elements in V be two. Then f(t) ∈ P(m)(V) if and only if f(t) = 0 for all t. If the number of elements in V is three or more than P(m)(V) contains nonzero functions. If V1 and V2 are discrete subsets of R such that V1 ⊂ V2 then P(m)(V1) ⊂ P(m)(V2). In particular, P(m)(A0) ⊂ P(m)(A1). If f(t) ∈ P(m)(A1) then f(t) = g(t) + α λ(t) where α is constant and g(t) ∈ P(m)(A0) is defined by g(r) = f(r) for r ∈ A0.

Strömberg wavelet as an orthonormal wavelet The following result establishes the Strömberg wavelet as an orthonormal wavelet.

Theorem Let Sm be the Strömberg wavelet of order m. Then the following set

{ 2 j / 2 S m ( 2 j t − k ) : j , k integers } {\displaystyle \left\{2^{j/2}S^{m}(2^{j}t-k):j,k{\text{ integers }}\right\}}

is a complete orthonormal system in the space of square integrable functions over R.

Strömberg wavelets of order 0

In the special case of Strömberg wavelets of order 0, the following facts may be observed:

If f(t) ∈ P0(V) then f(t) is defined uniquely by the discrete subset {f(r) : r ∈ V} of R. To each s ∈ A0, a special function λs in A0 is associated: It is defined by λs(r) = 1 if r = s and λs(r) = 0 if s ≠ r ∈ A0. These special elements in P(A0) are called simple tents. The special simple tent λ1/2(t) is denoted by λ(t)

Computation of the Strömberg wavelet of order 0 As already observed, the Strömberg wavelet S0(t) is completely determined by the set { S0(r) : r ∈ A1 }. Using the defining properties of the Strömbeg wavelet, exact expressions for elements of this set can be computed and they are given below.

S 0 ( k ) = S 0 ( 1 ) ( 3 − 2 ) k − 1 {\displaystyle S^{0}(k)=S^{0}(1)({\sqrt {3}}-2)^{k-1}} for k = 1 , 2 , 3 , … {\displaystyle k=1,2,3,\ldots }

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Strömberg wavelet

Start with the simplest possible case. Write down what Strömberg wavelet claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Strömberg wavelet before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Strömberg wavelet ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Strömberg wavelet

In research
Strömberg wavelet appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Strömberg wavelet in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Strömberg wavelet is common in secondary-school and first-year university syllabi. It links to neighbouring topics Continuous wavelets, Orthogonal wavelets, so understanding it makes those chapters shorter.
In everyday life
Look for Strömberg wavelet outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Strömberg wavelet in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Strömberg wavelet means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Strömberg wavelet out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Strömberg wavelet in simple terms?

In mathematics, the Strömberg wavelet is a certain orthonormal wavelet discovered by Jan-Olov Strömberg and presented in a paper published in 1983. Even though the Haar wavelet was earlier known to be an orthonormal wavelet, Strömberg wavelet was the first smooth orthonormal wavelet to be discovere…

Why does Strömberg wavelet matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Strömberg wavelet?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Strömberg wavelet.

Tags

  • Continuous wavelets
  • Orthogonal wavelets

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