4 papers
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 the…
Frequency-Ordered Tokenization for Better Text Compression
Maximilian Kalcher
We present frequency-ordered tokenization (FOT), a simple preprocessing technique that improves lossless text compression by exploiting the power-law frequency distribution of natu…
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…
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
Aaron Maiwald, Leon Ackermann, Maximilian Kalcher +1
Alternative data representations are powerful tools that augment the performance of downstream models. However, there is an abundance of such representations within the machine lea…