REFERENCES
- M Schetzen, The Volterra and Weiner Theories of Nonlinear System, New York: Wiley, 1980.
- W J Rugh, Nonlinear System Theory The Volterra/Wiener Approach, London: The Johns Hopkins Press Ltd, 1981.
- C H Tseng & E J Powers: Identification of Cubic Systems Using Higher Order Moments of IID Signals, IEEE Trans on Signal Processing, vol 43, no 7, pp 1733–1735, July 1995.
- S Benedetto & E Biglieri, Nonlinear Equalisation of Digital Satellite Channels, IEEE J Select Areas Commun, vol SAC-1, no 1, pp 57–62, Jan 1983.
- O Agazzi & D G Messerschmitt, Nonlinear echo cancellation of data signals, IEEE Trans Commun, vol COM-30, no 11, pp 2421–2433, Nov 1982.
- T Koh & E J Powers, Second-order Volterra filtering and its application to nonlinear system identification, IEEE Trans Acoust Speech, Signal Processing, vol 33, no 6, pp 1445–1455, Dec 1985.
- T C Hsia, System Identification: Least-Squares Methods, Massachusetts: Lexington Books, 1977.
- K I Kim & E J Powers, A digital method of modeling quadratically nonlinear systems with a general random input, IEEE Trans Acoust Speech, Signal Processing, vol 36, pp 1758–1769, Nov 1988.
- J C Patra, G Panda & R Baliarsingh: Artificial Neural Network based Nonlinearity Estimation of Pressure Sensors, IEEE Trans on Instrumentation and Measurement, vol 43, no 6, pp 874–881, Dec 1994.
- Albert D Helfrick & William D Cooper, Modern Electronic Instrumentation and Measurement Techniques, Prentice Hall of India.
- Y Pao, Adaptive pattern recognition and neural networks, Reading, MA: Addison-Wesley Publishers, 1989.