Projects per year
Abstract
The least mean squares (LMS) filter is one of the most important adaptive filters used in digital signal processing applications. We present a performance improvement method for LMS filters based on null space projection. The approach uses buffering and a subsequent null space projection denoising. Interestingly, while the performance of this approach scales with the buffer length, the complexity in terms of multiplications per sample does not. We show the performance gains obtained by this method and present an architecture implementing an LMS filter as well as the proposed null space projection enhancement.
We give complexity comparisons as well as synthesis results for a field-programmable gate array (FPGA) showing the low complexity overhead of the proposed method. We furthermore present hardware validated bit-true simulation results demonstrating the performance capabilities of the approach.
Original language | English |
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Pages (from-to) | 3507-3511 |
Number of pages | 5 |
Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
Volume | 67 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2020 |
Fields of science
- 202017 Embedded systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202015 Electronics
- 202022 Information technology
- 202037 Signal processing
JKU Focus areas
- Digital Transformation
Projects
- 2 Finished
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Christian Doppler Laboratory for Digitally Assisted RF Transceivers for Future Mobile Communications
Auer, C. (Researcher), Buckel, T. (Researcher), Gebhard, A. (Researcher), Hager, E. (Researcher), Hamidovic, D. (Researcher), Hofstadler, M. (Researcher), Markovic, J. (Researcher), Motz, C. (Researcher), Nyamangoudar, R. (Researcher), Paireder, T. (Researcher), Ploder, O. (Researcher), Preissl, C. (Researcher), Pretl, H. (Researcher), Preyler, P. (Researcher), Pühringer, B. (Researcher), Huemer, M. (PI) & Springer, A. (PI)
01.01.2017 → 31.12.2024
Project: Funded research › Other sponsors
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Low Complexity Iterative Signal Processing Methods
Lunglmayr, M. (PI)
16.01.2015 → 28.02.2019
Project: Other › Project from scientific scope of research unit