"1"^^ . . . "The characterisation of materials systems with impedance spectroscopy requires the interpretation of the data using the suitable models. These models can be divided into two broad categories: equivalent circuit models and process models. The models are regressed to experimental data to estimate parameters that can describe the experimental data adequately and can be used to predict the behavior of the system under various conditions. The equivalent circuit models are based on well-known pasive elementssuch as, resistors, capacitors and inductors and distributed elements such as, constant phase element and Warburg impedance. These elements are combined to give complex equivalent circuits. The next step of data analysis, after identifying a suitable model for the system under investigation, is estimation of the model parameters. This is done by the non-linear regression of the model data and using the data-fitting program."@en . . "Impedance spectroscopy simulation - principles"@en . "93-96" . "478961" . "1999-09-05+02:00"^^ . . . "26110" . . "Principy simulace impedan\u010Dn\u00ED spektroskopie"@cs . . "Impedance spectroscopy simulation - principles"@en . "Slovensk\u00E1 technick\u00E1 univerzita v Bratislave" . "Praha" . . "Impedance spectroscopy, solid state, equivalent circuit models, CPE-constant phase element, non-linear regression"@en . . "Impedance spectroscopy simulation - principles" . . . . "80-227-2467-X" . . . "Impedan\u010Dn\u00ED spektroskopie, pevn\u00E9 l\u00E1tky, model ekvivalentn\u00EDho elektrick\u00E9ho obvodu, CPE-prvek nem\u011Bnn\u00E9 f\u00E1ze, neline\u00E1rn\u00ED regrese."@cs . "Impedance spectroscopy simulation - principles" . "[A7BAA0D55901]" . "4"^^ . "RIV/00216305:26110/06:PU61347!RIV06-GA0-26110___" . "RIV/00216305:26110/06:PU61347" . . "Proceedings of international workshop Physical and material engeneering 2006" . "Lu\u0148\u00E1k, Miroslav" . "Principy simulace impedan\u010Dn\u00ED spektroskopie"@cs . . "P(GD103/05/H044)" . "The characterisation of materials systems with impedance spectroscopy requires the interpretation of the data using the suitable models. These models can be divided into two broad categories: equivalent circuit models and process models. The models are regressed to experimental data to estimate parameters that can describe the experimental data adequately and can be used to predict the behavior of the system under various conditions. The equivalent circuit models are based on well-known pasive elementssuch as, resistors, capacitors and inductors and distributed elements such as, constant phase element and Warburg impedance. These elements are combined to give complex equivalent circuits. The next step of data analysis, after identifying a suitable model for the system under investigation, is estimation of the model parameters. This is done by the non-linear regression of the model data and using the data-fitting program." . "1"^^ . . .