Utilizing hidden Markov processes as a tool for experimental physics

T. Kanter, A. Frydman, A. Ater

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A hidden Markov process is a well-known concept in information theory and is used for a vast range of applications such as speech recognition and error correction. We bridge between two disciplines, experimental physics and advanced algorithms, and propose to use a physically oriented hidden Markov process as a new tool for analyzing experimental data. This tool enables one to extract valuable information on physical parameters of complex systems. We demonstrate the usefulness of this technique on low-dimensional electronic systems which exhibit time-dependent resistance noise. This method is expected to become a standard technique in experimental physics.

Original languageEnglish
Pages (from-to)798-804
Number of pages7
Issue number5
StatePublished - Mar 2005


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