Synchronization of Chaotic Systems Through Parameter Adaptation. - Patrick Celka (ISCAS, 1995)

Stochastic analysis of gradient adaptive identification of nonlinear systems with memory. - Neil J. Bershad; Patrick Celka; Jean-Marc Vesin (ICASSP, 1998)

Exponential-type distribution of human muscle sympathetic nerve activity results in an automatic quantification method. - Patrick Celka; Rolf Vetter; Jean-Marc Vesin; Etienne Pruvot; Urs Scherrer (Comput. Biol. Medicine, 1998)

Analysis of stochastic gradient identification of polynomial nonlinear systems with memory. - Patrick Celka; Neil J. Bershad; Jean-Marc Vesin (ICASSP, 1999)

Analysis of stochastic gradient identification of Hermite polynomial systems with memory. - Patrick Celka; Neil J. Bershad; Jean-Marc Vesin (ISSPA, 1999)

Observer of the human cardiac sympathetic nerve activity using noncausal blind source separation. - Rolf Vetter; Jean-Marc Vesin; Patrick Celka; Urs Scherrer (IEEE Trans. Biomed. Eng., 1999)

Stochastic analysis of gradient adaptive identification of nonlinear systems with memory for Gaussian data and noisy input and output measurements. - Neil J. Bershad; Patrick Celka; Jean-Marc Vesin (IEEE Trans. Signal Process., 1999)

Observer of autonomic cardiac outflow based on blind source separation of ECG parameters. - Rolf Vetter; Nathalie Virag; Jean-Marc Vesin; Patrick Celka; Urs Scherrer (IEEE Trans. Biomed. Eng., 2000)

Analysis of stochastic gradient tracking of time-varying polynomial Wiener systems. - Neil J. Bershad; Patrick Celka; Jean-Marc Vesin (IEEE Trans. Signal Process., 2000)

Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems. - Patrick Celka; Neil J. Bershad; Jean-Marc Vesin (IEEE Trans. Signal Process., 2000)

Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with Hermite polynomial expansions. - Neil J. Bershad; Patrick Celka; Steve McLaughlin 001 (IEEE Trans. Signal Process., 2001)

Stochastic gradient identification of polynomial Wiener systems: analysis and application. - Patrick Celka; Neil J. Bershad; Jean-Marc Vesin (IEEE Trans. Signal Process., 2001)

A computer-aided detection of EEG seizures in infants: a singular-spectrum approach and performance comparison. - Patrick Celka; Paul B. Colditz (IEEE Trans. Biomed. Eng., 2002)

Nonlinear nonstationary Wiener model of infant EEG seizures. - Patrick Celka; Paul B. Colditz (IEEE Trans. Biomed. Eng., 2002)

Neuronal coordination in the brain: A signal processing perspective. - Patrick Celka (Signal Process., 2005)

SVM-based recursive feature elimination to compare phase synchronization computed from broadband and narrowband EEG signals in Brain-Computer Interfaces. - Elly Gysels; Philippe Renevey; Patrick Celka (Signal Process., 2005)

Smoothly adjustable denoising using a priori knowledge. - Patrick Celka; Elly Gysels (Signal Process., 2006)

Statistical Analysis of the Phase-Locking Value. - Patrick Celka (IEEE Signal Process. Lett., 2007)

Noise Reduction in Rhythmic and Multitrial Biosignals With Applications to Event-Related Potentials. - Patrick Celka; Khoa N. Le; Tim R. H. Cutmore (IEEE Trans. Biomed. Eng., 2008)

Accurate walking and running speed estimation using wrist inertial data. - Mattia Bertschi; Patrick Celka; Ricard Delgado-Gonzalo; Mathieu Lemay; Enric M. Calvo; Olivier Grossenbacher; Philippe Renevey (EMBC, 2015)

Physical activity profiling: Activity-specific step counting and energy expenditure models using 3D wrist acceleration. - Ricard Delgado-Gonzalo; Patrick Celka; Philippe Renevey; Stephan Dasen; Josep Solà; Mattia Bertschi; Mathieu Lemay (EMBC, 2015)