Thomson-csf

Thomson Consumer Electronics Inc.

Philippe Refregier

Jean-Pierre Huignard

Marc Turpin

Francois Micheron

Dominique Potier

Brigitte Loiseaux

Daniel Dolfi

Dominique Rojas

Francois Vallet

A driving device for driving a recording apparatus for selective recording of audio/video sequences, which is to actuate the recording apparatus at a precise instant of a beginning or of an ending of the audio/video sequence to be recorded. The driving device reduces picture datum from at least one reference picture belonging to the sequence to be recorded and a memory stores the reduced reference picture datum. A comparator compares the stored reduced reference datum with reduced picture data picked up from the set of picture sequences. A controller controls the recording apparatus to be activated to begin recording at the time the comparator detects a recognition of a picture similar to the stored reduced reference datum in the set of picture sequences.

Device for programming of recording by reference signals recognition

Device for creating optical delays and application to an optical control

Fibre optic sensor array reading device

A signal processing device used for processing images including an optical correlator combined with a neuonal processor.

Non-linear and adaptive signal-processing device

The invention relates to the reading of optical disks in which the recording is performed in volume in separate layers. Reading a bit recorded within the layers gives a signal with a background noise from all the adjacent bits illuminated by the read beam. In order to eliminate this background noise, the read beam is modulated in position about the bit to be read, either horizontally or vertically with respect to a recording level. The background noise remains unchanged but the signal from the bit being read becomes a periodic signal.

Signal to noise ratio of a multiple layer optical disk with modulated

The disclosure relates to the recognition of sequences of multidimensional images and, notably, of image signals. The disclosed device includes, for each of said sequences to be recognized, a first circuit for the correlation of vectors representing the signal with a masking vector determined from the vectors representing the sequence to be recognized, producing a series of values corresponding to the degree of similarity of the two correlated vectors, a second circuit for the correlation of a sequence of the series of values with a reference sequence determined from the vectors forming said sequence to be recognized, producing values that correspond to the degree of similarity of the two correlated sequences, and a circuit for deciding on the validity of the recognition, by comparison of the values corresponding to the degree of similarity of the two correlated sequences with a threshold value.

Device for the recognition of sequences in a multidimensional signal

The disclosure concerns neural networks designed specially for the classification of objects represented by vectors X. If the vectors X include several parameters and if the objects have to be classified in a large number N of classes, the end result is a very large number of interconnections which become difficult to set up physically, are slow in their operation and require lengthy learning phases. The disclosed neural classification system has the particular feature of being constituted on the basis of P neural networks each individually carrying out the classification of objects in only two classes or, at any rate, in a small number of classes only. These networks give probabilities P.sub.i,j of membership in a class C.sub.i among two classes C.sub.i and C.sub.j. The outputs of these networks are connected to a signal processing module which, through simple functions (implementing linear combinations of the outputs and non-linear standardization functions) establishes, on N outputs, results P.sub.i (X) of classification among the N classes. The learning is done on classifications by pairs of classes, but the post-learning recognition gives classifications among N classes.

Neural system of classification and classification method using such a

A reading device of interferometric or polarimetric sensors including a main fiber on which a number of couplers equal to the number of sensors are placed, each coupler connected to a secondary compensation fiber, followed by a polarizer and a detector, thus constituting n elementary polarimeters.

Growing community of inventors

Palaiseau, France

Philippe Refregier