Who invented wavelets

Ingrid Daubechies invented the compactly- supported orthonormal wavelets, making DWT practicable… The names of Daubechies family wavelets are signed dbN (N is the order). A two dimensional (image) compression, using 2D wavelets analysis. The image is a Fingerprint.

1. Who discovered wavelet?
2. When was wavelet transform invented?
3. What is called wavelet?
4. What are wavelets used for?
5. How many wavelets are there?
6. Why is wavelet better than FFT?

Who discovered wavelet?

Yves Meyer, the French mathematician who played a critical role in developing the wavelet theory. Joseph Fourier pioneered the field of Fourier analysis in the 1800s.

When was wavelet transform invented?

In 1989, Mallat proposed the fast wavelet transform. With the appearance of this fast algorithm, the wavelet transform had numerous applications in the signal processing field.

What is called wavelet?

A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses.

What are wavelets used for?

A wavelet is a mathematical function applied in digital image processing and compression. Its main aim is to improve the image quality. Also, wavelets can divide signals into time and frequency components. Wavelet transform is the decomposition of a signal to the frequency components.

How many wavelets are there?

There are two types of wavelet transforms: the continuous wavelet transform (CWT) and the discrete wavelet transform (DWT).

Why is wavelet better than FFT?

The key advantage of the Wavelet Transform compared to the Fourier Transform is the ability to extract both local spectral and temporal information.