JOURNAL ARTICLE

Event location using recursive least squares signal processing

Abstract

The problem of locating the position of individual pulses within a group of overlapping pulses can be simplified by preprocessing the data to reduce the overlap. This paper proposes the use of Recursive Least Squares (RLS) prediction for this purpose. The pulse compression performance of two signals derived from the RLS algorithm is compared using all-pole data with different noise levels, and the effects of zeroes in the data and prefiltering are discussed.

Keywords:
Recursive least squares filter Preprocessor Computer science Noise (video) Algorithm Position (finance) SIGNAL (programming language) Least-squares function approximation Signal processing Data compression Speech recognition Artificial intelligence Pattern recognition (psychology) Adaptive filter Digital signal processing Mathematics Statistics Estimator

Metrics

6
Cited By
0.97
FWCI (Field Weighted Citation Impact)
2
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Spectroscopy and Chemometric Analyses
Physical Sciences →  Chemistry →  Analytical Chemistry

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