5 papers
Two-Class Joint Source-Channel Coding: Expurgated Exponents with i.i.d. Distributions
Seyed AmirPouya Moeini, Albert Guillén i Fàbregas
This paper studies expurgated exponents for joint source-channel coding of discrete memoryless sources and channels under i.i.d. random coding. We show that a two-class partitionin…
Cuffless, calibration-free hemodynamic monitoring with physics-informed machine learning models
Henry Crandall, Tyler Schuessler, Filip Bělík +13
Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring by providing continuous assessments of cardiovascular health metrics and guiding…
DNA Storage in the Short Molecule Regime
Ran Tamir, Nir Weinberger, Albert Guillén i Fàbregas
We study the amount of reliable information that can be stored in a DNA-based storage system composed of short DNA molecules. In this regime, Shomorony and Heckel (2022) put forwar…
Class-Based Expurgation Attains Csiszár's Expurgated Source-Channel Exponent
AmirPouya Moeini, Albert Guillén i Fàbregas
This paper studies expurgated error exponents for joint source-channel coding for discrete memoryless sources and channels. We consider a partition of the source messages into clas…
Dual-Domain Exponent of Maximum Mutual Information Decoding
AmirPouya Moeini, Albert Guillén i Fàbregas
This paper provides a dual domain derivation of the error exponent of maximum mutual information (MMI) decoding with constant composition codes, showing it coincides with that of m…