Application specific processors for the autoregressive signal analysis

Authors:
Anatolij Sergiyenko;Oleg Maslennikow;Piotr Ratuszniak;Natalia Maslennikowa;Adam Tomas
Affiliations:
National Technical University of Ukraine, Kiev, Ukraine;Koszalin University of Technology, Koszalin, Poland;Koszalin University of Technology, Koszalin, Poland;Koszalin University of Technology, Koszalin, Poland;Częstochowa University of Technology, Częstochowa, Poland
Venue:
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Year:
2009

Citing 4
Cited 0

Adaptive signal processing

Adaptive signal processing
Lattice adaptive filter implementation for FPGA

FPGA '03 Proceedings of the 2003 ACM/SIGDA eleventh international symposium on Field programmable gate arrays
Implementation of Givens QR-Decomposition in FPGA

PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
FPGA implementation of the conjugate gradient method

PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Two structures of the processors for the autoregressive analysis are considered. The first of them implements the Durbin algorithm using the rational fraction calculations. Such calculations provide higher precision than integer calculations do, and are simpler than the floating point calculations. The second of them implements the adaptive lattice filter. These processors are configured in FPGA, and give the possibility of the signal analysis with the sampling frequency up to 300 MHz. They provide new opportunities for the real time signal analysis and adaptive filtering in radio receivers, ultrasonic devices, wireless communications, etc.