J
Joe F. Chicharo
Researcher at University of Wollongong
Publications - 139
Citations - 2499
Joe F. Chicharo is an academic researcher from University of Wollongong. The author has contributed to research in topics: Adaptive filter & Blind signal separation. The author has an hindex of 24, co-authored 139 publications receiving 2382 citations. Previous affiliations of Joe F. Chicharo include Zhengzhou University & University of Oldenburg.
Papers
More filters
Journal ArticleDOI
A sliding Goertzel algorithm
Joe F. Chicharo,Mehdi T. Kilani +1 more
TL;DR: A sliding Goertzel algorithm to accurately estimate the Fourier coefficients of multifrequency (MF) sinusoidal signals buried in noise is presented, based on second-order digital resonators that are tuned at the desired frequencies.
Journal ArticleDOI
Gradient-based adaptive IIR notch filtering for frequency estimation
Joe F. Chicharo,Tung-Sang Ng +1 more
TL;DR: The use of gradient-based algorithms with infinite impulse response (IIR) notch filtering for estimating sinusoids imbedded in noise is investigated and error surface analysis indicates that second-order modules are unimodal and result in guaranteed convergence.
Journal ArticleDOI
Improving the measurement performance for a self-mixing interferometry-based displacement sensing system
TL;DR: Combining the new algorithms for estimating the laser phase and updating C value, the paper finally presents a novel technique for displacement measurement with improved accuracy performance in contrast to existing techniques.
Proceedings ArticleDOI
Unfairness and capture behaviour in 802.11 adhoc networks
TL;DR: This work addresses issues with the performance of IEEE 802.11, when used in the adhoc mode, in the presence of hidden terminals, and presents results illustrating the strong dependence of channel capture behavior on the SNR observed on contending hidden connections.
Journal ArticleDOI
A new algorithm for improving the accuracy of periodic signal analysis
Jiangtao Xi,Joe F. Chicharo +1 more
TL;DR: In this paper, the authors proposed a new approach which attempts to remedy the underlying problem by modifying the actual sampled sequence such that it becomes an ideal sample sequence which is synchronized with the signal subjected to sampling.