Читать книгу EEG Signal Processing and Machine Learning - Saeid Sanei - Страница 67

The wavelet transform (WT) is another alternative for TF analysis. There is already a well established literature detailing the WT such as [16, 17]. Unlike the STFT, the TF kernel for the WT‐based method can better localize the signal components in TF space. This efficiently exploits the dependency between time and frequency components. Therefore, the main objective of introducing the WT by Morlet [16] was likely to have a coherence time proportional to the sampling period. To proceed, consider the context of a continuous time signal.