Wavelet Packet Transform is a versatile signal processing technique that provides a more detailed analysis of signals compared to traditional wavelet transforms by decomposing both approximation and detail coefficients at each level. This allows for a more comprehensive representation of the signal's frequency components, making it particularly useful in applications like signal compression, denoising, and feature extraction.