Rethinking Time Series Tokenization from a Frequency Perspective
TimeFT is proposed, a nearly distortion-free frequency-based tokenizer for time series data that is parameter-free, incurs negligible computational complexity, and can serve as a drop-in replacement for existing tokenizers.