QABBA introduces a more efficient approach to compress time series data while maintaining essential shape information and providing mathematical guarantees.

• Extends the ABBA algorithm with quantization techniques for better storage efficiency
• Delivers provable error bounds between original and compressed series
• Maintains or improves performance in downstream applications like neural networks
• Particularly valuable for engineering domains with massive time series data needs

This advancement enables engineers to implement more storage-efficient time series analysis with mathematical confidence, critical for signal processing, IoT applications, and other domains requiring real-time processing of large temporal datasets.

Quantized symbolic time series approximation