A new composite gradient algorithm to achieve global convergence

Insufficient-order system identification can result in a multimodal mean square error surface on which a gradient-type algorithm may converge to a local minimum. In this letter a new composite gradient algorithm (CGA) is presented which is due to achieve global convergence when the output error surf...

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Veröffentlicht in:	IEEE transactions on circuits and systems. 2, Analog and digital signal processing Analog and digital signal processing, 1995-10, Vol.42 (10), p.681-684
Hauptverfasser:	Simon, G., Peceli, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Convergence Detection, estimation, filtering, equalization, prediction Equations Exact sciences and technology Filtering algorithms Information, signal and communications theory Mean square error methods Operational amplifiers Predictive models Semiconductor device modeling Signal and communications theory Signal processing algorithms Signal, noise Solid state circuits Strontium Telecommunications and information theory
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