Abstract: A user's proficiency level of operation of a user apparatus is determined with higher accuracy. Acquisition unit acquires service contract information of a user using the apparatus. Determination unit determines the user's proficiency level of operation of the user apparatus based on service contract information acquired by acquisition unit. Trigger determination unit determines whether or not there has been an event (called a “trigger”) that triggers display of a hint to the user using the apparatus. If it is determined by trigger determination unit that a trigger has occurred, display control unit displays, on a display means, a hint corresponding to the trigger and the proficiency level determined by determination unit.

Abstract: A user's proficiency level of operation of a user apparatus is determined with higher accuracy. Acquisition unit acquires service contract information of a user using the apparatus. Determination unit determines the user's proficiency level of operation of the user apparatus based on service contract information acquired by acquisition unit. Trigger determination unit determines whether or not there has been an event (called a “trigger”) that triggers display of a hint to the user using the apparatus. If it is determined by trigger determination unit that a trigger has occurred, display control unit displays, on a display means, a hint corresponding to the trigger and the proficiency level determined by determination unit.

Abstract: The present invention enable to separate source signals from mixture signals into which the source signals are mixed temporally and spatially, where the number of source signals is more than or equal to the number of mixture signals. A signal storing portion 12 stores the mixture signals input into a signal input portion 11, and a formulation portion 131 in a signal separation portion 13 extracts the mixture signals stored in the signal storing portion 12 and formulates them as an operation expression using a basis matrix composed of plural small matrixes that consist of bases with time symmetry. A learning algorithm application portion 132 applies a learning algorithm based on overcomplete representations, a mixture matrix calculating portion 133 calculates a mixture matrix, a source signal estimating portion 134 estimates source signals separated from the mixture signals, and an output portion 14 outputs the calculated mixture matrix and the estimated source signals.

Abstract: The present invention enable to separate source signals from mixture signals into which the source signals are mixed temporally and spatially, where the number of source signals is more than or equal to the number of mixture signals. A signal storing portion 12 stores the mixture signals input into a signal input portion 11, and a formulation portion 131 in a signal separation portion 13 extracts the mixture signals stored in the signal storing portion 12 and formulates them as an operation expression using a basis matrix composed of plural small matrixes that consist of bases with time symmetry. A learning algorithm application portion 132 applies a learning algorithm based on overcomplete representations, a mixture matrix calculating portion 133 calculates a mixture matrix, a source signal estimating portion 134 estimates source signals separated from the mixture signals, and an output portion 14 outputs the calculated mixture matrix and the estimated source signals.