P. A. Payne

发表

Non-invasive measurement of process states using acoustic emission techniques coupled with advanced signal processing : Process operation and control

J. G. Bouchard, P. A. Payne, S. Szyszko, 1994 .

Data fusion and artificial neural networks for biomass estimation

P. A. Payne, R. R. Leal, P. Butler, 1997 .

Predicting servomechanism dynamic performance variation from limited production test data

D. R. Towill, K. J. Baker, P. A. Payne, 1970 .

High-speed digital cross-correlator design for multifrequency response analysis

P. A. Payne, L. Cheded, S. M. Jawad, 1983 .

Predicting servomechanism dynamic errors from frequency response measurements

D. R. Towill, P. A. Payne, J. M. Brown, 1972 .

Frequency domain approach to automatic testing of control systems

D. R. Towill, P. A. Payne, 1971 .

Data acquisition and statistical signal processing software for the TMS320C30 DSP board

P. A. Payne, S. Szyszko, J. W. Chai, 1992 .

Biological and Biomedical Systems

P. A. Payne, 1992, Concise Encyclopedia of Modelling & Simulation.

Artificial neural networks for feature extraction from acoustic emission signals : Colloquium on Measurements, Modelling and Imaging for Non-Destructive Testing, London (United Kingdom), 27 Mar. 1991. pp. 6/1–6/6. IEE (1991) Digest No. 1991/054

P. A. Payne, S. Szyszko, 1994 .

Corrections: Predicting servomechanism dynamic errors from frequency response measurements

D. R. Towill, P. A. Payne, J. M. Brown, 1972 .

Artificial neural networks for feature extraction from acoustic emission signals

P. A. Payne, S. Szyszko, 1991 .

SWP 54191 “INCREASING THE EFFECTIVENESS OF MERGERS ANI) ACQUISITIONS WITHIN THE MANAGEMENT CONSULTING INDUSTRY”

P. A. Payne, 2000 .