3 papers
eess.SP2026
A Scaling Law for Bandwidth Under Quantization
Maximilian Kalcher, Tena Dubcek
We derive a scaling law relating ADC bit depth to effective bandwidth for signals with power spectra. Quantization introduces a flat noise floor whose intersection with th…
cs.IT2026
Frequency-Ordered Tokenization for Better Text Compression
Maximilian Kalcher
We present frequency-ordered tokenization, a simple preprocessing technique that improves lossless text compression by exploiting the power-law frequency distribution of natural la…
cs.NE2025
Neuromorphic Computing - An Overview
Benedikt Jung, Maximilian Kalcher, Merlin Marinova +2
With traditional computing technologies reaching their limit, a new field has emerged seeking to follow the example of the human brain into a new era: neuromorphic computing. This…