The wavelet transform has a problem as it gives poor time resolution for low frequencies and poor frequency resolution for high frequencies according to uncertainty conditions.
This appears well while using the window notation. But when using bank filters, I can't imagine this problem. So, do bank filters solve this problem?
In addition, if there is a signal with maximum frequency equal to 1000 hz, how are low and high pass filters designed to decompose the signal according to a certain mother wavelet?