| Abstract: | A matrix filter has been developed to remove errors from temperature measurements in the field of heat conduction. It has been shown that the matrix filter substantially reduces the errors in measurements. The filter extended to a new adaptive matrix filter (AMF) enables identification of some thermal properties based on the temperature measurements of the system involved. The approach allows elimination of many problems associated with the solution of nonlinear equations. AMF can use data containing errors; this allows for a simultaneous estimation of unknown properties and removal of errors from measurements. It has been proved that the algorithm is very efficient. |
