Frequency and noise characterization for baseband signal processing on neuromorphic circuits

IEEE Interregional NEWCAS Conference (NEWCAS), pp. 1–5

Abstract

Memristor crossbar-based systems have shown enor-mous potential to further enhance applications that make extensive use of vector-matrix multiplication, such as artificial in neural networks. Many signal processing algorithms in wireless communications, such as forward error correction (FEC) and discrete Fourier transform (DFT), involve such operations and could benefit from the desirable properties of memristor crossbars, namely, low power consumption, low latency and high area density. We investigate the high data rate response of memristor crossbars including line parasitic resistance and capacitance, for FEC and DFT applications in baseband signal processing for wireless communications.

Authors 4

1. Melvin Galicia Aachen Institute for Communication Technologies and Embedded Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University,Aachen,Germany

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University, Aachen, Germany

2. Leon Happek Aachen Institute for Communication Technologies and Embedded Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University,Aachen,Germany

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University, Aachen, Germany

3. Magnus Balzer Aachen Institute for Communication Technologies and Embedded Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University,Aachen,Germany

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University, Aachen, Germany

4. Rainer Leupers Aachen Institute for Communication Technologies and Embedded Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University,Aachen,Germany

   Institute for Communication Technologies and Embedded Systems RWTH Aachen University, Aachen, Germany