Transient feature extraction based on phase space fusion by partial-least-square regression analysis of sensor array signals

• Published in: 2011 International Conference on Emerging Trends in Electrical and Computer Technology pp. 676 - 680
• Main Authors: Singh, P, Yadava, R D S
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2011
• Subjects: Actuators; Arrays; electronic nose; Electronic noses; Feature extraction; partial least square regression; phase space fusion; Polymers; Surface acoustic waves; Transient analysis; Transient signal analysis

Pattern classification based on transient signal analysis provides an effective method for identification of dynamical systems. The partial-least-square regression (PLSR) is most commonly used to generate parametric representation of phase space defined by measured signals and their time derivatives...