Understanding Wavelets: Definition and Functions Explained

  • Thread starter dimensionless
  • Start date
  • Tags
    Wavelet
In summary, a wavelet is a small wave that is used for analysis. It has two basic properties: the integral of the wavelet is zero, and the square of the wavelet is unity. This means that the nonzero portion of the wavelet is limited in length and there is an equal amount of the wavelet above and below the axis. There are different types of wavelets, three of which are illustrated in Barbara Hubbard's "The World According to Wavelets."
  • #1
dimensionless
462
1

Homework Statement


What is a wavelet?


Homework Equations


Here is the Haar wavelet mother waveley function:
<tex>\{ t \mapsto \psi(2^n t-k) ; n \in \N, 0 \leq k < 2^n\}</tex>


The Attempt at a Solution


Wavelets are used for analysis. There is a wavelet function and a scaling function. There are also mother and daughter wavelets.

Everything I see talks about what a wavelet does. I can't seem to find very much written about what a wavelet is. I'm not concerned about the application, I'm just looking for a clear definition.
 
Physics news on Phys.org
  • #2
Here is a quote from Percival and Waldren, "Wavelet Methods for Time Series Analysis" :

"What is a wavelet? As the name suggests, a wavelet is a 'small wave'. A small wave grows and decays essentially in a limited time period. The contrasting notion is obviously a 'big wave'. An example of a big wave is the sine function, which keeps on oscillating up and down on a plot of sin(u) vs [tex] u \in (-\infty, \infty) [/tex]. "

Also from Percival and Waldren:

A wavelet defined over the real axis [tex] ( -\infty, \infty) [/tex] has two basic properties:

(1) The integral of [tex] \psi ( \cdot ) [/tex] is zero. and,

(2) The square of [tex] \psi ( \cdot ) [/tex] is unity.

Those integrals are from [tex] ( - \infty, \infty ) [/tex]. The first property means there is as much of the wavelet below the axis as above, while the second means that the nonzero portion of the wavelet is limited in length. For example the sine function fails the second property.

There are pictures of three wavelets on page 3 of Percival and Waldren that illustrate three different wavelets.

A book on wavelets for the nontechnical reader is Barbra Hubbard's "The World According to Wavelets"
 

1. What is a wavelet?

A wavelet is a mathematical function that is used to analyze and represent data. It is a small, oscillating wave that is localized in both time and frequency. Unlike traditional Fourier analysis, which uses large, continuous waves, wavelet analysis breaks down a signal into smaller, more localized components. This allows for more precise analysis of data with both high and low frequencies.

2. How are wavelets different from traditional Fourier analysis?

Wavelets are different from traditional Fourier analysis in several ways. Firstly, wavelets are localized in both time and frequency, while Fourier analysis uses continuous waves that are not localized. This makes wavelets more suitable for analyzing signals with both high and low frequencies. Additionally, wavelet analysis allows for multi-resolution analysis, meaning that different aspects of a signal can be analyzed at different levels of detail.

3. What are some applications of wavelets?

Wavelets have a wide range of applications in various fields, including signal and image processing, data compression, and pattern recognition. They are also commonly used in data analysis for fields such as finance, biology, and geology. In image processing, wavelets are used for tasks such as image denoising, edge detection, and feature extraction.

4. How are wavelets used in data compression?

Wavelets are used in data compression by breaking down a signal into smaller, more localized components. This allows for a more efficient representation of the data, as only the most relevant components are kept, while the less relevant components can be discarded. This is especially useful for compressing signals with both high and low frequencies.

5. Are there different types of wavelets?

Yes, there are many different types of wavelets, each with their own unique properties and applications. Some common types of wavelets include Daubechies, Haar, and Morlet wavelets. These different wavelets have different shapes and characteristics, allowing for more flexibility in their applications.

Similar threads

  • Calculus and Beyond Homework Help
Replies
1
Views
1K
Replies
1
Views
1K
  • Programming and Computer Science
Replies
1
Views
1K
  • Calculus and Beyond Homework Help
Replies
14
Views
510
  • Engineering and Comp Sci Homework Help
Replies
2
Views
2K
  • Calculus and Beyond Homework Help
Replies
2
Views
217
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
13
Views
950
Replies
4
Views
3K
Back
Top