Why wavelets based transmitter/receiver digital signal processing aren't common?

1. What is wavelet transform in digital signal processing?
2. Are wavelets useful?
3. What is the advantage of wavelet transform?
4. What are the applications of wavelets?

What is wavelet transform in digital signal processing?

The short duration wavelet is superimposed to the signal under consideration for a short duration of time and decompose them to useful form. This process is called wavelet transform. The method of transforming the decomposed signal to original wave is called inverse wavelet transform.

Are wavelets useful?

Built upon the ubiquitous Fourier transform, these mathematical tools allow unprecedented analysis of continuous signals. In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information.

What is the advantage of wavelet transform?

One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. The second main advantage of wavelets is that, using fast wavelet transform, it is computationally very fast. Wavelets have the great advantage of being able to separate the fine details in a signal.

What are the applications of wavelets?

The wavelet applications mentioned include numerical analysis, signal analysis, control applications and the analysis and adjustment of audio signals. The Fourier transform is only able to retrieve the global frequency content of a signal, the time information is lost.