A notch filter based on recursive least-squares modelling
Signal Processing
Empirical mode decomposition of field potentials from macaque V4 in visual spatial attention
Biological Cybernetics
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids
IEEE Transactions on Signal Processing
Comparative study of four adaptive frequency trackers
IEEE Transactions on Signal Processing
Multiband Modulation Energy Tracking for Noisy Speech Detection
IEEE Transactions on Audio, Speech, and Language Processing
Frequency tracking with spline based chirp atoms
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
A complex adaptive notch filter using modified gradient algorithm
Signal Processing
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Adaptive tracking of sinusoidal signal components with time-varying amplitudes and frequencies presents a great interest in many engineering applications. In many cases, the frequency components of interest are present in more than one signal. So we propose, in this paper, a simple but efficient approach to extend existing algorithms to track frequency components simultaneously in several signals. Computer simulations and experiments on real signals demonstrate the potential of this approach in terms of estimation variance, convergence speed, and the capability to extract a frequency component common to several signals.