3 citations · 6 across the 6 of their papers we have counts for
7 papers
Advanced phase retrieval: maximum likelihood technique with sparse regularization of phase and amplitude
Artem Migukin, Vladimir Katkovnik, Jaakko Astola
Sparse modeling is one of the efficient techniques for imaging that allows recovering lost information. In this paper, we present a novel iterative phase-retrieval algorithm using…
Fast Recursive Coding Based on Grouping of Symbols
Nikolay Ponomarenko, Vladimir Lukin, Karen Egiazarian +2
A novel fast recursive coding technique is proposed. It operates with only integer values not longer 8 bits and is multiplication free. Recursion the algorithm is based on indirect…
Universal Codes as a Basis for Time Series Testing
Boris Ryabko, Jaakko Astola
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, bas…
Universal Codes as a Basis for Nonparametric Testing of Serial Independence for Time Series
Boris Ryabko, Jaakko Astola
We consider a stationary and ergodic source generated symbols from some finite set and a null hypothesis that is Markovian source with memory (or co…
Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series
Boris Ryabko, Jaakko Astola, Alex Gammerman
We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypotheses testing in a framework of classical mathem…
Prediction of Large Alphabet Processes and Its Application to Adaptive Source Coding
Boris Ryabko, Jaakko Astola
The problem of predicting a sequence generated by a discrete source with unknown statistics is considered. Each letter is predicted using information on the…