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Carl Ingemarsson

I took my master at Linköping University in 2009 and then was enrolled as a PhD student at the Electronics Systems division at Dept. of Electrical Engineering (ISY). Since summer 2014 I am instead enrolled at division of Computer Engineering at dept. of Electrical Engineering at Linköping University.


My main research focus lies in the implementation of signal processing algorithms and arithmetics in hardware. I have studied the hardware implementation of matrix inversion, and is currently working more with this in connection with the possible application of matrix inversion in MIMO decoding. I have also spent effort studying the mapping of hardware architectures towards FPGA technology.


During my time as PhD student have been involved as either lab assistant, student project supervisor, or tutorial session teacher in many different undergraduate course, for instance:

TSTE12 - Konstruktion av digitala system
TSIU05 - Digitalteknik
TSEA51 - Digitalteknik
TSEA57/82 - Datorteknik
TSTE20 - Elektronik
TSTE87 - Application specific Integrated Circuits for Digital Signal Processing
TMEL08 - Elektrotekniska system
TMMI04 - Elektroteknik

Links to the pages with my tutorial problem solutions:
Solutions - TSTE20
Solutions - TMEL08
Solutions - TMMI04


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Journal papers

Carl Ingemarsson, Oscar Gustafsson, "SFF—The Single-Stream FPGA-Optimized Feedforward FFT Hardware Architecture", Journal of Signal Processing Systems, 90(11): 1583-1592, 2018.
Carl Ingemarsson, Petter Källström, Fahad Qureshi, Oscar Gustafsson, "Efficient FPGA Mapping of Pipeline SDF FFT Cores", IEEE Transactions on Very Large Scale Integration (vlsi) Systems, 25(9): 2486-2497, 2017.

Conference papers

Erik Bertilsson, Carl Ingemarsson, Oscar Gustafsson, "Low-Latency Parallel Hermitian Positive-Definite Matrix Inversion for Massive MIMO", 2021 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS 2021), IEEE International Symposium on Biomedical Imaging, 23-28, 2021.
Oscar Gustafsson, Erik Bertilsson, Johannes Klasson, Carl Ingemarsson, "Approximate Neumann Series or Exact Matrix Inversion for Massive MIMO? (Invited Paper)", Proceedings 2017 IEEE 24th Symposium on Computer Arithmetic (ARITH), London, UK, 24-26 July 2017, Proceedings Symposium on Computer Arithmetic, Vol. 2017, 62-63, 2017.
Carl Ingemarsson, Oscar Gustafsson, "Hardware Architecture for Positive Definite Matrix Inversion Based on LDL Decomposition and Back-Substitution", 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, Conference Record of the Asilomar Conference on Signals Systems and Computers, 859-863, 2016.
Carl Ingemarsson, Oscar Gustafsson, "On fixed-point implementation of symmetric matrix inversion", Proceedings of the European Conference on Circuit Theory and Design (ECCTD), 440-443, 2015.
Carl Ingemarsson, Oscar Gustafsson, "On fixed-point implementation of symmetric matrix inversion", Proceedings of the European Conference on Circuit Theory and Design (ECCTD), 1-4, 2015.
Carl Ingemarsson, Petter Källström, Oscar Gustafsson, "Using DSP block pre-adders in pipeline SDF FFT implementations in contemporary FPGAs", 22nd International Conference on Field Programmable Logic and Applications (FPL), 71-74, 2012.
Carl Ingemarsson, Oscar Gustafsson, "Finite wordlength properties of matrix inversion algorithms in fixed-point and logarithmic number system", 2011 20th European Conference on Circuit Theory and Design (ECCTD), 673-676, 2011.
Carl Ingemarsson, Oscar Gustafsson, "On Using the Logarithmic Number System for Finite Wordlength Matrix Inversion", The 54th IEEE International Midwest Symposium on Circuits and Systems, Midwest Symposium on Circuits and Systems. Conference Proceedings, 1-4, 2011.
The publication list is extracted from the DiVA - Academic Archive Online - publishing system. The extraction software is developed by Johan Wiklund.


PhD student
Dept. of Electrical Engineering
Linköpings Universitet
SE-581 83 Linköping
+46 (0)13 282466
B-house, room nr 3B:543 (map).
(earlier: carli@isy.liu.se)

Page responsible: Carl Ingemarsson
Last updated: 2016-01-29