476 citations
- New York UniversityUS42 papers
- Courant Institute of Mathematical SciencesUS13 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Fraunhofer Institute for Integrated CircuitsDE12 papers
- University of KonstanzDE12 papers
- University of StuttgartDE12 papers
- Technische Universität BerlinDE10 papers
- Universität HamburgDE10 papers
- Humboldt-Universität zu BerlinDE9 papers
- Occidental CollegeUS9 papers
- Chemnitz University of TechnologyDE8 papers
- Freie Universität BerlinDE8 papers
6 papers · 2 filters
On Probability Estimation via Relative Frequencies and Discount
Christopher Mattern
Probability estimation is an elementary building block of every statistical data compression algorithm. In practice probability estimation is often based on relative letter frequen…
Frequency-Domain Group-based Shrinkage Estimators for UWB Systems
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
In this work, we propose low-complexity adaptive biased estimation algorithms, called group-based shrinkage estimators (GSEs), for parameter estimation and interference suppression…
Combining non-stationary prediction, optimization and mixing for data compression
Christopher Mattern
In this paper an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented. After studying the prediction model we ev…
Mixing Strategies in Data Compression
Christopher Mattern
We propose geometric weighting as a novel method to combine multiple models in data compression. Our results reveal the rationale behind PAQ-weighting and generalize it to a non-bi…
Linear and Geometric Mixtures - Analysis
Christopher Mattern
Linear and geometric mixtures are two methods to combine arbitrary models in data compression. Geometric mixtures generalize the empirically well-performing PAQ7 mixture. Both mixt…
Sum-Rate Maximization with Minimum Power Consumption for MIMO DF Two-Way Relaying: Part I - Relay Optimization
Jie Gao, Sergiy A. Vorobyov, Hai Jiang +2
The problem of power allocation is studied for a multiple-input multiple-output (MIMO) decode-and-forward (DF) two-way relaying system consisting of two source nodes and one relay.…