3Zhang Y,Liu J H,Zhang Y H,et al.Cross sensitivity reduction of gas sensors using genetic algorithm neural network[J].Optical Engineering,2002,41(3):615-625.
2Hyvarinen A, Pajunen P. Nonlinear independent component analysis: Existence and uniqueness results.Neural Networks. 1999, 12: 429-439.
3Carmel L, Levy S, Lancet D, et al. A feature extraction method for chemical sensors in electronic noses.Sensors and Actuators B, 2003, 93:67-76.
4Tsung T T, Chang H, Chen LC, et al. Analysis of dynamic characteristics of pressure sensors using square pressure wave theory and system identification. Measurement Science and Technology, 2003, 14:1927-1937.
5Zhang Y, Liu J H, Zhang Y H, et al. Cross sensitivity reduction of gas sensors using genetic algorithm neural network. Optical Engineering, 2002, 41(3): 615-625.
6Legin A V, Vlasov Y G, Rudniskaya A M, et al. Cross-sensitivity of chalcogenide glass sensors in solutions of heavy metal ions. Sensor and Actuators B, 1996, 334:456-461.
7Grys S, Minkina W. Fast temperature determination using two thermometers with different dynamical properties. Sensors and Actuators A, 2002, 100:192-198.
8Common P. Independent component analysis, a new concept? Signal Process, 1994, 36:287-314.
9Chi C Y, Chen C H. Cumulant-based inverse filter criteria for MIMO blind deconvolution: Properties,algorithms, and application to DS/CDMA systems in multipath. IEEE Transactions on Signal Processing,2001, 49(7): 1282-1299.
10Amari S, Douglas S C, Cichoki A, et al. Novel online adaptive learning algorithms for blind deconvolutionusing the natural gradient approach, at 11th IFAC Symp, Japan, 1997.