Brett Ninness

According to our database1, Brett Ninness authored at least 71 papers between 1995 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.


IEEE Fellow

IEEE Fellow 2017, "For contributions to computational methods in system identification".



In proceedings 
PhD thesis 


Online presence:



Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters.
IEEE Trans. Signal Process., 2020

Variational State and Parameter Estimation.
CoRR, 2020

Variational Nonlinear System Identification.
CoRR, 2020

Practical Bayesian System Identification using Hamiltonian Monte Carlo.
CoRR, 2020

Bayesian Parameter Identification for Jump Markov Linear Systems.
CoRR, 2020

A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems.
CoRR, 2020

A New Smoothing Algorithm for Jump Markov Linear Systems.
CoRR, 2020

Distributed Kalman filter in a network of linear systems.
Syst. Control. Lett., 2018

Distributed Estimation in Networks of Linear Time-invariant Systems.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Accurate Gaussian Mixture Model Smoothing using a Two-Filter Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Bayesian Filtering Algorithm for Gaussian Mixture Models.
CoRR, 2017

Compensation of attacks on consensus networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

On the reachability property for networks of linear time-invariant subsystems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

A nonlinear programming approach to exposure optimization in scanning laser lithography.
Proceedings of the 2016 American Control Conference, 2016

System Identification Software.
Proceedings of the Encyclopedia of Systems and Control, 2015

Asymptotic Optimality of the Maximum-Likelihood Kalman Filter for Bayesian Tracking With Multiple Nonlinear Sensors.
IEEE Trans. Signal Process., 2015

On the Reachability of Networked Systems.
CoRR, 2015

An improved square-root algorithm for RTS Kalman smoothing.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Parallel MCMC algorithm for bayesian system identification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Reunderstanding slice sampling as parallel MCMC.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

A novel input design approach for systems with quantized output data.
Proceedings of the 13th European Control Conference, 2014

Bayesian dynamic system estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Identification of Hammerstein-Wiener models.
Autom., 2013

Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture.
IEEE Trans. Control. Syst. Technol., 2012

System identification of nonlinear state-space models.
Autom., 2011

Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions".
Eur. J. Control, 2010

Bayesian system identification via Markov chain Monte Carlo techniques.
Autom., 2010

Estimating state-space models in innovations form using the expectation maximisation algorithm.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Estimation of general nonlinear state-space systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A VLSI 8 × 8 MIMO Near-ML Detector with Preprocessing.
J. Signal Process. Syst., 2009

Maximum Likelihood Estimation of State Space Models From Frequency Domain Data.
IEEE Trans. Autom. Control., 2009

ASIC and FPGA implementation strategies for Model Predictive Control.
Proceedings of the 10th European Control Conference, 2009

Nonlinear model predictive control of an inverted pendulum.
Proceedings of the American Control Conference, 2009

Time-Scale Modification of Speech Signals.
IEEE Trans. Signal Process., 2008

Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control.
IEEE Trans. Control. Syst. Technol., 2008

On Gradient-Based Search for Multivariable System Estimates.
IEEE Trans. Autom. Control., 2008

Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection.
IEEE J. Sel. Areas Commun., 2008

A 4×4 FPGA-based wireless testbed for LTE applications.
Proceedings of the IEEE 19th International Symposium on Personal, 2008

Least-squares estimation of a class of frequency functions: A finite sample variance expression.
Autom., 2006

A VLSI 8×8 MIMO Near-ML Decoder Engine.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2006

Maximum-likelihood parameter estimation of bilinear systems.
IEEE Trans. Autom. Control., 2005

Analysis of the variability of joint input-output estimation methods.
Autom., 2005

On the frequency domain accuracy of closed-loop estimates.
Autom., 2005

Robust maximum-likelihood estimation of multivariable dynamic systems.
Autom., 2005

Variance error quantifications that are exact for finite-model order.
IEEE Trans. Autom. Control., 2004

The effect of regularization on variance error.
IEEE Trans. Autom. Control., 2004

The Waterbed Effect in Spectral Estimation.
IEEE Signal Process. Mag., 2004

On the CRLB for combined model and model-order estimation of stationary stochastic processes.
IEEE Signal Process. Lett., 2004

Closed form frequency domain expressions for best achievable accuracy of spectral density estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

An optimised parallel tree search for multiuser detection with VLSI implementation strategy.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

The asymptotic CRLB for the spectrum of ARMA processes.
IEEE Trans. Signal Process., 2003

Discussion on: "Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties".
Eur. J. Control, 2003

Quantifying the accuracy of Hammerstein model estimation.
Autom., 2002

Sampling zeros and the Euler-Frobenius polynomials.
IEEE Trans. Autom. Control., 2001

Strong laws of large numbers under weak assumptions with application.
IEEE Trans. Autom. Control., 2000

Time and frequency scale modification of speech signals.
Proceedings of the IEEE International Conference on Acoustics, 2000

Performance aspects of linear multiuser receivers.
Proceedings of the Global Telecommunications Conference, 2000. GLOBECOM 2000, San Francisco, CA, USA, 27 November, 2000

Subspace-based identification of power transformer models from frequency response data.
IEEE Trans. Instrum. Meas., 1999

The fundamental role of general orthonormal bases in system identification.
IEEE Trans. Autom. Control., 1999

Orthonormal basis functions for modelling continuous-time systems.
Signal Process., 1999

Orthonormal Basis Functions for Continuous-Time Systems and L<sub>p</sub> Convergence.
Math. Control. Signals Syst., 1999

Frequency domain analysis of tracking and noise performance of adaptive algorithms.
IEEE Trans. Signal Process., 1998

Estimation of 1/f Noise.
IEEE Trans. Inf. Theory, 1998

Identification of power transformer models from frequency response data: A case study.
Signal Process., 1998

A Stochastic Approach to Linear Estimation in H<sub>∞</sub>.
Autom., 1998

Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements.
Autom., 1998

Quantifying the accuracy of adaptive tracking algorithms.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Fast, non-iterative estimation of hidden Markov models.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Stochastic processes, estimation, and control: The entropy approach : By George N. Saridis.
Autom., 1997

Integral constraints on the accuracy of least-squares estimation.
Autom., 1996

Estimation of model quality.
Autom., 1995