Wavelet transforms revolutionize signal processing with precise energy representation
The article explains how wavelet transforms can break down signals into different components. Wavelets are like building blocks that can be combined to represent a signal. By using wavelet coefficients, we can understand how much each building block contributes to the signal. The researchers discuss how to apply wavelet transforms to continuous functions and the conditions needed for accurate results.