U.S. Philips Corporation

Jean-Christophe Boissy

Yannick Deville

Olivier Rech

Rob Tousain

Signal transmission system includes a processor (SEPAR) for isolating an estimate (I,) for at least one wanted signal (X,) contained in at least one mixed signal (Ea). At least one sensor (Ma) detects the mixed signal which includes at least the wanted signal (X,) and at least two correlated interference signals (Pa, Pb) generated in response respectively to two correlated electric signals (CRa, CRb). The processor (SEPAR) receives on the input the detected mixed signal (Ea) and the two correlated electric signals (CRa, CRb). By decorrelating the estimate (I,) relative respectively to the correlated electric signals (CRa, CRb), the processing means extracts the estimate (I,) of the wanted.

Transmission system for correlated signals

In a control system, a shock resulting in an error is detected. The detection of the shock initiates compensation to reduce the error. The compensation depends on corrective data contained in a memory of the player. The error while being reduced by the compensation is measured, and the corrective data is updated depending on the measured error.

Learning to compensate for randomly occurring shocks

A method of controlling automatic state returns relates to a dynamic system coupled to an automatic control operating in a discrete negative feedback mode. The method includes a phase for defining a controller, and a phase for operating the system. The defining phase is realized in an open-loop learning phase which includes a step of reading states in which a system may be situated, and a step of generating commands for returning the system to an ideal state. When the commands generating step takes place, the method supplies, for each state, a sequence of discrete commands which are determined by imposing a constraint intended to reduce the error relative to that state below a predetermined threshold.

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Saint Maurice, France

Jean-Christophe Boissy