Abstract: A method for compressing digital data, including: extrapolating a value of each sample of data to be compressed as a function of a value of at least one preceding sample, to produce an extrapolated sample; differentiating between each extrapolated sample and the corresponding sample of data to be compressed, to produce a differentiated sample; and deleting redundancy between successive differentiated samples produced by the differentiating stage.

Abstract: A method for compressing digital data, including: extrapolating a value of each sample of data to be compressed as a function of a value of at least one preceding sample, to produce an extrapolated sample; differentiating between each extrapolated sample and the corresponding sample of data to be compressed, to produce a differentiated sample; and deleting redundancy between successive differentiated samples produced by the differentiating stage.

Abstract: A device simulating detection of at least one moving radioactive source, including a receiver receiving signals transmitted by at least one signal transmitter, the device including a pulse generator coupled to the receiver and configured to determine a distance between the receiver and the at least one transmitter from a signal received from the at least one transmitter by the receiver, to generate pulses of which the number varies depending on the distance detected, and to deliver the generated pulses to an electronic processing unit to be tested, configured to be coupled, in nominal detection usage, to one or more detectors of one or more radioactive sources.

Abstract: A system for processing a noisy time signal having a set of pulses of different amplitude and duration, and a method implemented by the system. The system includes a processor processing the signal acquired by a detector to detect the pulses, the processing being configured to perform a derivation of the acquired signal and compare the derived acquired signal with a pulse start detecting threshold to detect a pulse when the derived acquired signal is greater than the threshold. The processor is further configured to dynamically adapt the threshold to the noise level affecting the derived acquired signal.

Abstract: A signal acquisition and processing method includes a step of acquiring signals in at least two acquisition channels (A1, A2, . . . , AN); a step of detecting the acquired signals in at least two detection channels (V1, V2, . . . , VN) associated respectively with the two acquisition channels; a step of distributing the detected signal or signals that result from the detection step in at least one computing tile available in a set of computing tiles; a step of storing the detected signal or signals in the computing tile or tiles; and a step of processing the signals stored in the computing tile or tiles in order to obtain data characteristic of the detected signals. The method can apply to the acquisition and processing of non-deterministic data (nuclear instrumentation, laser instrumentation, radar detection, etc.).

Abstract: The invention concerns a signal acquisition and processing method, comprising: a step of acquiring signals in at least two acquisition channels (A1, A2, . . . , AN); a step of detecting the acquired signals in at least two detection channels (V1, V2, . . . , VN) associated respectively with the two acquisition channels; a step of distributing the detected signal or signals that result from the detection step in at least one computing tile available in a set of computing tiles; a step of storing the detected signal or signals in the computing tile or tiles; and a step of processing the signals stored in the computing tile or tiles in order to obtain data characteristic of the detected signals. The invention applies to the acquisition and processing of non-deterministic data (nuclear instrumentation, laser instrumentation, radar detection, etc.).

Abstract: A device for processing a data stream originating from a device generating matrices of Nl rows by Nc columns of data includes K computation tiles and interconnection means for transferring the data stream between the computation tiles. At least one computation tile includes: one or more control units to provide instructions, n processing units, each processing unit carrying out the instructions received from a control unit on a neighborhood of Vl rows by Vc columns of data, a storage unit to place the data of the stream in the form of neighborhoods of Vl rows by (n+Vc?1) columns of data. The storage unit includes a block of shaping memories of dimension Vl×Nc and a block of neighborhood registers of dimension Vl×(n+Vc?1), an input/output unit to convey the data stream between the interconnection means and the storage unit on the one hand, and between the processing units and the interconnection means on the other hand.

Abstract: A device for processing a data stream originating from a device generating matrices of N1 rows by Nc columns of data includes K computation tiles and interconnection means for transferring the data stream between the computation tiles. At least one computation tile includes: one or more control units to provide instructions, n processing units, each processing unit carrying out the instructions received from a control unit on a neighborhood of V1 rows by Vc columns of data, a storage unit to place the data of the stream in the form of neighborhoods of V1 rows by (n+Vc?1) columns of data. The storage unit includes a block of shaping memories of dimension V1×Nc and a block of neighborhood registers of dimension V1×(n+Vc?1), an input/output unit to convey the data stream between the interconnection means and the storage unit on the one hand, and between the processing units and the interconnection means on the other hand.