48 citations · 165 across the 36 of their papers we have counts for
21 papers · 1 filter
Higher-order Common Information
Jan Østergaard
Shannon's mutual information quantifies dependence between two random variables. We introduce \emph{higher-order common information} (HCI), a measure of statistical relevance acros…
Synergy and Redundancy Dominated Effects in Time Series via Transfer Entropy Decompositions
Jan Østergaard, Payam Boubakani
We present a new decomposition of transfer entropy to characterize the degree of synergy- and redundancy-dominated influence a time series has upon the interaction between other ti…
Stabilizing Error Correction Codes for Controlling LTI Systems over Erasure Channels
Jan Østergaard
We propose (k,k') stabilizing codes, which is a type of delayless error correction codes that are useful for control over networks with erasures. For each input symbol, k output sy…
Stabilizing Error Correction Codes for Control over Erasure Channels
Jan Østergaard
We propose stabilizing codes, which is a type of delayless error correction codes that are useful for control over networks with erasures. For each input symbol, outpu…
Directed Data-Processing Inequalities for Systems with Feedback
Milan S. Derpich, Jan Østergaard
We present novel data-processing inequalities relating the mutual information and the directed information in systems with feedback. The internal blocks within such systems are res…
An Orthogonality Principle for Select-Maximum Estimation of Exponential Variables
Uri Erez, Jan Østergaard, Ram Zamir
It was recently proposed to encode the one-sided exponential source X via K parallel channels, Y1, ..., YK , such that the error signals X - Yi, i = 1,...,K, are one-sided exponent…
Incremental Refinements and Multiple Descriptions with Feedback
Jan Østergaard, Uri Erez, Ram Zamir
It is well known that independent (separate) encoding of K correlated sources may incur some rate loss compared to joint encoding, even if the decoding is done jointly. This loss i…
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources
Photios A. Stavrou, Jan Ostergaard, Charalambos D. Charalambous
We deal with zero-delay source coding of a vector-valued Gauss-Markov source subject to a mean-squared error (MSE) fidelity criterion characterized by the operational zero-delay ve…
Information Loss in the Human Auditory System
Mohsen Zareian Jahromi, Adel Zahedi, Jesper Jensen +1
From the eardrum to the auditory cortex, where acoustic stimuli are decoded, there are several stages of auditory processing and transmission where information may potentially get…
Stationarity in the Realizations of the Causal Rate-Distortion Function for One-Sided Stationary Sources
Milan S. Derpich, Marco A. Guerrero, Jan Østergaard
This paper derives novel results on the characterization of the the causal information rate-distortion function (IRDF) for arbitrarily-distributed one-sided station…
An Upper Bound to Zero-Delay Rate Distortion via Kalman Filtering for Vector Gaussian Sources
Photios A. Stavrou, Jan Ostergaard, Charalambos D. Charalambous +1
We deal with zero-delay source coding of a vector Gaussian autoregressive (AR) source subject to an average mean squared error (MSE) fidelity criterion. Toward this end, we conside…
Delay Minimization in Real-time Communications with Joint Buffering and Coding
Jesper H. Sørensen, Petar Popovski, Jan Østergaard
We present a closed-form expression for the minimal delay that is achievable in a setting that combines a buffer and an erasure code, used to mitigate the packet delay variance. Th…
The Entropy Gain of Linear Time-Invariant Filters and Some of its Implications
Milan S. Derpich, Matías Müller, Jan Østergaard
We study the increase in per-sample differential entropy rate of random sequences and processes after being passed through a non minimum-phase (NMP) discrete-time, linear time-inva…
Fundamental Inequalities and Identities Involving Mutual and Directed Informations in Closed-Loop Systems
Milan S. Derpich, Eduardo I. Silva, Jan Østergaard
We present several novel identities and inequalities relating the mutual information and the directed information in systems with feedback. The internal blocks within such systems…
Analysis of LT Codes with Unequal Recovery Time
Jesper H. Sørensen, Petar Popovski, Jan Østergaard
In this paper we analyze a specific class of rateless codes, called LT codes with unequal recovery time. These codes provide the option of prioritizing different segments of the tr…
Incremental Refinement using a Gaussian Test Channel
Jan Ostergaard, Ram Zamir
The additive rate-distortion function (ARDF) was developed in order to universally bound the rate loss in the Wyner-Ziv problem, and has since then been instrumental in e.g., bound…
On the Role of Feedback in LT Codes
Jesper H. Sørensen, Petar Popovski, Jan Østergaard
This paper concerns application of feedback in LT codes. The considered type of feedback is acknowledgments, where information on which symbols have been decoded is given to the tr…
n-Channel Asymmetric Entropy-Constrained Multiple-Description Lattice Vector Quantization
Jan Ostergaard, Richard Heusdens, Jesper Jensen
This paper is about the design and analysis of an index-assignment (IA) based multiple-description coding scheme for the n-channel asymmetric case. We use entropy constrained latti…
Bounding the Rate Region of Vector Gaussian Multiple Descriptions with Individual and Central Receivers
Guoqiang Zhang, W. Bastiaan Kleijn, Jan Østergaard
In this work, the rate region of the vector Gaussian multiple description problem with individual and central quadratic distortion constraints is studied. In particular, an outer b…
The Quadratic Gaussian Rate-Distortion Function for Source Uncorrelated Distortions
Milan S. Derpich, Jan Ostergaard, Graham C. Goodwin
We characterize the rate-distortion function for zero-mean stationary Gaussian sources under the MSE fidelity criterion and subject to the additional constraint that the distortion…
Multiple-Description Coding by Dithered Delta-Sigma Quantization
Jan Ostergaard, Ram Zamir
We address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. The inherent redundancy due to oversampling in Delta-Sigma quantization, and t…