Adaptive downsampling of traces with FPGAs
Typ
Examensarbete för masterexamen
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2020
Författare
Fredriksson, Anton
Rahmn, Lukas
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Modern nuclear physics experiments produce large amounts of data. It has become
custom to record and store signal traces, which can benefit from compression algorithms.
General-purpose compression methods do not exploit the characteristics of
the traces and are ill-suited for implementation on Field-Programmable Gate Arrays
(FPGAs). We propose a lossy algorithm based on downsampling. Data reduction
is achieved by replacing variable-length groups of samples with their average. The
lengths of the groups are chosen according to their significance, which is determined
based on the estimated signal noise. This results in an adaptive downsampling of
the signal trace. The compression routine also assists subsequent analysis, by reducing
the stored signal fluctuations due to noise. A detailed algorithm description
is provided, accompanied by openly available implementations for both FPGAs and
PCs (VHDL and C++).
Beskrivning
Ämne/nyckelord
HDL , Data acquisition , Front-end electronics , Downsampling , Lossy compression