Logo Lab-STICCFrom sensors to knowledge: Communicate and decide

CODES

The CODES research team designs and develops channel and source coding solutions for emerging digital communication and storage systems. The primary challenge and driver at the heart of our research work is to propose codes and algorithms operating close to the fundamental theoretical limits in error-correction and source coding and simultaneously adressing the need of practical applications either in terms of systems specifications (e.g. short packets, distributed network architectures, uncoordinated communications and network access, etc) or hardware constraints (energy consumption, ultra-high-rate transmission, non-faulty computations, etc).

The research investigations are at the crossroads of signal processing, discrete mathematics, information theory, circuits and systems, and more recently machine learning.

Example of applications include next-generation wireless networks (5G and beyond) and access as well as long-haul fiber-optical networks, but also emerging technologies and applications such as DNA storage systems or free-space space-earth satellite communications.

Examples of recent research topics

  • Towards Tb/s turbo-decoding (H2020 project EPIC)
  • Non-binary LDPC code design (Lab-STICC project home)
  • Non-binary modulation and coding for sensors networks and IoT (ANR project QCSP)
  • Coding for DNA storage (CominLabs project dnarXiv)
  • Coding for fault-tolerant systems (ANR project EF-FECtive)
  • Distributed source coding (CominLabs project InterCom)
  • Learning on compressed data (CominLabs chair IoTAD-CEO)

Keywords

High-data rate channel coding, energy-efficient channel coding, non-binary coding, coded modulation, low-latency coding, coding for fiber-optical transmission, low-complexity decoding algorithms, distributed source coding, coding for DNA storage, NOMA communications

Actualités
Les dernieres infos

Source and channel coding in support of machine learning: Project CoLearn (Coding for Learning) has been awarded CominLabs Labex funding

CODES   SI3  

Every minute, 500 hours of video are uploaded on Youtube, and 240,000 images are added on Facebook. Since it is physically impossible that this huge mass of data is entirely processed and visualized by humans, there is an absolute need to rely on adv…

Read more

View all

Offres
Les annonces d'emploi

Open PhD position on novel algorithms for ultra-high throughput trellis-based decoding

CODES   2AI  

Topic: Novel algorithms for ultra-high throughput trellis-based decoding Funding: Internal funding (granted) Expected start date: September, 1st, 2021 Host laboratory: Lab-STICC/IMT Atlantique, under joint supervision between teams 2AI and CODES Keyw…

Read more

Open PhD position on hardware implementation of fully pipelined Turbo decoders

CODES   2AI  

Topic: Hardware implementation of fully pipelined Turbo decoders Funding: This PhD position will be conducted within the framework of the ANR JCJC TurboLEAP Project Expected start date: September, 1st, 2021 Host laboratory: Lab-STICC/IMT Atlantique, …

Read more

Open PhD position on information theory and source-channel coding for Machine Learning applications

CODES  

Topic: Source-channel coding for learning Funding: This PhD position will be conducted within the framework of the Labex CominLabs project CoLearn (Coding for Learning) Expected start date: October, 1st, 2021 Host laboratory: Joint supervision betwee…

Read more

View all