When has a decision-directed equalizer converged? - Rodney A. Kennedy; Graham W. Pulford; Brian D. O. Anderson; Robert R. Bitmead (IEEE Trans. Commun., 1989)

Neural network structure for emulating decision feedback equalisers. - Graham W. Pulford; Rodney A. Kennedy; Brian D. O. Anderson (ICASSP, 1991)

Block decision feedback equalization. - Darrell Williamson; Rodney A. Kennedy; Graham W. Pulford (IEEE Trans. Commun., 1992)

An upper bound on the performance of a novel feedforward perceptron equalizer. - Graham W. Pulford; Rodney A. Kennedy; Brian D. O. Anderson (IEEE Trans. Inf. Theory, 1993)

Identification of individual channel kinetics from recordings containing many identical channels. - Graham W. Pulford; Rodney A. Kennedy; Shin-Ho Chung (Signal Process., 1995)

Probabilistic data association for systems with multiple simultaneous measurements. - Graham W. Pulford; Robin J. Evans 001 (Autom., 1996)

Multi-Target Viterbi Data Association. - Graham W. Pulford (FUSION, 2006)

Analysis of a nonlinear least squares procedure used in global positioning systems. - Graham W. Pulford (IEEE Trans. Signal Process., 2010)

Bias analysis of the forced choice detection test for Rayleigh/Rician statistics. - Graham W. Pulford (ICASSP, 2011)

The Two-Dimensional Power Spectral Density: A Connection Between 2-D Rational Functions and Linear Systems. - Graham W. Pulford (IEEE Trans. Autom. Control., 2011)

Channel-Dependent Constrained Combinatorial Clustering. - Graham W. Pulford (IEEE Trans. Signal Process., 2017)

From the Expectation Maximisation Algorithm to Autoencoded Variational Bayes. - Graham W. Pulford (CoRR, 2020)

Convergence and Optimality Analysis of Low-Dimensional Generative Adversarial Networks Using Error Function Integrals. - Graham W. Pulford; Kirill Kondrashov (IEEE Access, 2021)

Learning Shared Kernel Models: the Shared Kernel EM algorithm. - Graham W. Pulford (CoRR, 2022)

Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning. - Graham W. Pulford (CoRR, 2022)

Quasi-Analytical Least-Squares Generative Adversarial Networks: Further 1-D Results and Extension to Two Data Dimensions. - Graham W. Pulford (IEEE Access, 2025)