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Welcome

VLSI Group - Dept. of Electrical Engineering and Information Technology of the University of Napoli Federico II

Staff

Antonio Strollo

Ettore Napoli

Davide De Caro

Nicola Petra

Ph.D Students

Gennaro Di Meo

Master's degree students

Vincenzo Imparato

Daniele Cerino

Former Ph.D

Darjn Esposito

Gerardo Castellano

Our research group is focused on the design of high performance digital circuits and systems. Main research areas are the following

  • ARITHMETIC CIRCUITS
  • APPROXIMATE COMPUTING
  • SPREAD-SPECTRUM CLOCK GENERATORS
  • IMAGE PROCESSING
  • DSP FOR BRAIN-MACHINE INTERFACE
This page lists a few Master theses topics we are currently seeking to address in the research group. If you find one of them appealing, please contact the person listed here for each project.

  • LOW-POWER IMPLEMENTATION OF SPIKE DETECTION ALGORITHMS FOR BRAIN-MACHINE INTERFACE -
  • APPROXIMATE MULTIPLIERS FOR DSP APPLICATION
  • RISC-V PROCESSOR: SUB-BLOCKS DESIGN AND IMPLEMENTATON - 
Our recent papers are listed below. Feel free to contact us if you need a copy for research purposes.

  1. Napoli, E., De Caro, D., Petra, N., Strollo, A.G.M. , A Binary Line Buffer Circuit Featuring Lossy Data Compression at Fixed Maximum Data Rate, (2020) IEEE Transactions on Circuits and Systems I: Regular Papers, 67 (1), art. no. 8858031, pp. 121-134. DOI: 10.1109/TCSI.2019.2941703 
  2. Strollo, A.G.M., Napoli, E., De Caro, D., Petra, N., Meo, G.D. , Comparison and Extension of Approximate 4-2 Compressors for Low-Power Approximate Multipliers, (2020) IEEE Transactions on Circuits and Systems I: Regular Papers, DOI: 10.1109/TCSI.2020.2988353 
  3. Di Meo, G., De Caro, D., Napoli, E., Petra, N., Strollo, A.G.M. , Variable-Rounded LMS Filter for Low-Power Applications (2020) Lecture Notes in Electrical Engineering, 627, pp. 155-161.  DOI: 10.1007/978-3-030-37277-4_18  
  4. Esposito, D., De Caro, D., Di Meo, G., Napoli, E., Strollo, A.G.M., Low-Power Hardware Implementation of Least-Mean-Square Adaptive Filters Using Approximate Arithmetic, (2019) Circuits, Systems, and Signal Processing, 38 (12), pp. 5606-5622.  DOI: 10.1007/s00034-019-01132-y  
  5. Sarno, A., Andreozzi, E., De Caro, D., Di Meo, G., Strollo, A.G.M., Cesarelli, M., Bifulco, P., Real-time algorithm for Poissonian noise reduction in low-dose fluoroscopy: Performance evaluation, (2019) BioMedical Engineering Online, 18 (1), art. no. 94, DOI: 10.1186/s12938-019-0713-7  
  6. Castellano, G., De Caro, D., Esposito, D., Bifulco, P., Napoli, E., Petra, N., Andreozzi, E., Cesarelli, M., Strollo, A.G.M., An FPGA-Oriented Algorithm for Real-Time Filtering of Poisson Noise in Video Streams, with Application to X-Ray Fluoroscopy, (2019) Circuits, Systems, and Signal Processing, 38 (7), pp. 3269-3294.  DOI: 10.1007/s00034-018-01020-x  
  7. Esposito, D., Di Meo, G., De Caro, D., Strollo, A.G.M., Napoli, E., Quality-Scalable Approximate LMS Filter, (2019) 2018 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018, art. no. 8617858, pp. 849-852. DOI: 10.1109/ICECS.2018.8617858  
  8. Esposito, D., Di Meo, G., De Caro, D., Strollo, A.G.M., Napoli, E., Design of low-power approximate LMS filters with precision-scalability, (2019) Lecture Notes in Electrical Engineering, 550 (9783030119720), pp. 237-243.  DOI: 10.1007/978-3-030-11973-7_27 

Our Contacts

Department:

DIET- Dept. of Electrical Engineering and Information Technology
University of Napoli Federico II
Building 2

Address:

Via Claudio, 21
80125 Napoli
Italy

E-mail:

youremail@mail.com