Foto von Andreas Lenz

M.Sc. Andreas Lenz

Technische Universität München

Professur für Coding for Communications and Data Storage (Prof. Wachter-Zeh)

Postadresse

Postal:
Theresienstr. 90
80333 München

Biography

Andreas Lenz received his B.Sc and M.Sc degree in Electrical Engineering and Information technology in 2013, respectively 2016 at TUM (both with high distinction).

During his studies he was working on analog filter optimization for sub-Nyquist channel estimation systems. As part of his Master studies, he was an exchange student at University of Alberta, Canada. From 2014 until 2016 he was working on mobile network analysis systems at Rohde & Schwarz. For his master thesis, he visited Prof. Swindlehurst from University of California, Irvine. In 2016, he joined the coding for communications and data storage group at TUM (Prof. Wachter-Zeh), where he is involved in research on error correcting codes for insertion and deletion errors. Since 2016, Andreas is teaching assistant of the lecture "Channel Coding"

Abschlussarbeiten

Angebotene Abschlussarbeiten

Masterarbeiten

Concatenated Codes for Error Correction in DNA Storage

Concatenated Codes for Error Correction in DNA Storage

Beschreibung

Encoding information into synthetic DNA is a novel approach for data storage. Due to its natural robustness and size in molecular dimensions, it can be used for long-term and very high-density archiving of data. Since the DNA molecules can be corrupted by thermal processes and the writing/reading process of DNA molecules can be faulty, it is necessary to encode the data using error-correcting codes. Due to the channel model concatenated codes are a suitable candidate for efficient error correction.

The student will analyze existing schemes for error correction in DNA storage based on concatenated codes and develop improved methods using soft information in the outer code, unequal error protection and list recovery. The improvements will be analyzed anlytically and by simulations.

Voraussetzungen

- Channel coding, basic probability theory, experience in programming

- Optional: Coding theory for storage and networks

Betreuer:

Andreas Lenz, Sven Puchinger

Laufende Abschlussarbeiten

Publikationen

2018

  • Immler, V.; Hiller, M.; Qinzhi, L.; Lenz, A.; Wachter-Zeh, A.: Variable-Length Bit Mapping and Error- Correcting Codes for Higher-Order Alphabet PUFs. Journal of Hardware and Systems Security, 2018 mehr… Volltext ( DOI )
  • Lenz, A.; Stein, M.; Swindlehurst, A. L.: Joint Transmit and Receive Filter Optimization for Sub-Nyquist Delay-Doppler Estimation. IEEE Transactions on Signal Processing, 2018 mehr… Volltext ( DOI )
  • Lenz, A.; Wachter-Zeh, A.; Yaakobi, E.: Duplication-Correcting Codes. Designs, Codes, and Cryptography, 2018 mehr… Volltext ( DOI )
  • Lenz, A.; Jünger, N., Wachter-Zeh, A.: Correcting Duplications of Multiple Consecutive Symbols. Workshop on Coding, Cooperation, and Security in Modern Communication Networks (COCO), Dec 2018 mehr…
  • Lenz, A.; Siegel, P.; Wachter-Zeh, A.; Yaakobi, E.: Correcting Errors in Sets of Distorted DNA Sequences. DLR/TUM/UUlm Workshop on Coding and Cryptography, Oct 2018 mehr…
  • Lenz, A.; Jünger, N., Wachter-Zeh, A.: Bounds and Constructions for Multi-Symbol Duplication Error Correcting Codes. 16th International Workshop on Algebraic and Combinatorial Coding Theory (ACCT), Sep 2018 mehr…
  • Lenz, A.; Siegel, P.; Wachter-Zeh, A.; Yaakobi, E.: Constructions and Bounds for Reliable Data Storage in Unordered DNA Sequences. TUM CoC COM PhD Workshop 2018: Ultra Reliable Low Latency Communications and Applications for 5G, Jul 2018 mehr…
  • Lenz, A.; Siegel, P.; Wachter-Zeh, A.; Yaakobi, E.: Coding over Sets for DNA Storage. IEEE Int. Symp. Inform. Theory (ISIT), Jun 2018 mehr…
  • Lenz, A.; Siegel, P.; Wachter-Zeh, A.; Yaakobi, E.: Coding over Sets for DNA Storage. Munich Workshop on Coding and Cryptography (MWCC), Apr 2018 mehr…
  • Holzbaur, L.; Lenz, A.; Wachter-Zeh, A.: Coding for Reliable Data Storage. TUM-IAS General Assembly, 2018 mehr…

2017

  • Immler, V.; Hiller, M.; Liu, Q.; Lenz, A.; Wachter-Zeh, A.: Variable-Length Bit Mapping and Error-Correcting Codes for Higher-Order Alphabet PUFs. TUM-Eurecom Workshop on Communications and Security, Dec 2017 mehr…
  • Immler, V.; Hiller, M.; Liu, Q.; Lenz, A.; Wachter-Zeh, A.: Variable-Length Bit Mapping and Error-Correcting Codes for Higher-Order Alphabet PUFs. Seventh International Conference on Security, Privacy, and Applied Cryptography Engineering (SPACE) 2017, Dec 2017 mehr…
  • Stein, M.; Lenz, A.; Swindlehurst, A. L.: On the Channel Parameter Tracking Error for Sub-Nyquist Satellite-Based Synchronization. IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2017 mehr…
  • Lenz, A.; Wachter-Zeh, A.; Yaakobi, E.: Bounds on Codes Correcting Tandem and Palindromic Duplications. 10th International Workshop Coding and Cryptography (WCC), Sep 2017 mehr…
  • Lenz, A.; Stein, M.; Swindlehurst, A. L.: Analog Transmit Signal Optimization for Undersampled Delay-Doppler Estimation. 25th European Signal Processing Conf. (EUSIPCO), Aug 2017 mehr…
  • Lenz, A.; Wachter-Zeh, A.; Yaakobi, E.: On Codes Correcting Adjacent Symbol Duplications. Munich Workshop on Coding and Applications (MWCA), Jul 2017 mehr…
  • Lenz, A.; Wachter-Zeh, A.; Yaakobi, E.: Codes for Tandem and Palindromic Duplications Errors. International Symposium on Information Theory (ISIT), Jun 2017 mehr…
  • Lenz, A.; Wachter-Zeh, A.: Maximum Cardinalities for Tandem and Palindromic Duplication Correcting Codes. 18th Joint Workshop Coding and Communications (JWCC), Mar 2017 mehr…

2015

  • Lenz, A.; Stein, M.; Nossek, J.: Signal Parameter Estimation Performance Under a Sampling Rate Constraint. 49th Asilomar Conf. Signals, Systems and Computers, 2015 mehr…

2014

  • Stein, M.; Lenz, A.; Nossek, J.: Optimum Analog Receive Filters for Detection and Inference Under a Sampling Rate Constraint. IEEE Int. Conf. Acoustic, Speech and Signal Processing (ICASSP), 2014 mehr…