Most conduction calorimeters do not behave, strictly speaking, as time invariant systems (e.g., calorimeters used to study titrations). In this communication the performance of standard deconvolutive techniques applied on thermograms calculated from discrete variable models is analysed (RC models whose physical parameters change with time). Secondly, two new algorithms are developed which yield the power released inside the calorimetric cell even when the parameters of the system are changing during the experiment. The first algorithm takes advantage of the system of differential equations ruling the time evolution of the discrete model whereas the second deals with inverse filters with variable time constants. In the cases studied, both methods produce equivalent results.
Bibliographical noteFunding Information:
This work was done under the Cooperation Program undertaken by the Universities of Palma de Mallorca and Barcelona. The authors are particularly grateful to the first Institution for financially supporting the contacts between both groups. One of us (J.V.) also acknowledges the Ministerio Education y Ciencia, Spain, for the grant of a fellowship.
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