Abstract: A procedure for translating ARM instructions of a first set into instructions of a second set for execution on an LX processor comprising a core provides a first set of registers corresponding to the ARM instructions and a second set of registers corresponding to the instructions that can be executed on the LX processor. Each register of the first set is mapped in a corresponding register of the second set designed to emulate the behavior of the first register, obtaining a unique independent translation of the first set into the second set. The translation is performed by a translation device external to the LX core without altering the core, and the translation operating without accessing resources of the core, by the translating device intercepting accesses of the core to the storage area reserved to the ARM instructions.

Abstract: A procedure for translating ARM instructions of a first set into instructions of a second set for execution on an LX processor comprising a core provides a first set of registers corresponding to the ARM instructions and a second set of registers corresponding to the instructions that can be executed on the LX processor. Each register of the first set is mapped in a corresponding register of the second set designed to emulate the behavior of the first register, obtaining a unique independent translation of the first set into the second set. The translation is performed by a translation device external to the LX core without altering the core, and the translation operating without accessing resources of the core, by the translating device intercepting accesses of the core to the storage area reserved to the ARM instructions.

Abstract: The fuzzy filtering of a noise signal comprising a plurality of signal samples [s(t,k)] is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. The method comprises the steps of defining a current signal sample [s(t)] from among the plurality of signal samples, calculating a plurality of difference samples [D(t,k)] as the difference in absolute value between the current signal sample and each signal sample and defining distance values (k) between the current signal sample and each signal sample.

Abstract: A fuzzy logic electronic controller whereby predetermined membership functions .mu.(x) of logic (X) variables are subjected to so-called inference operations configured essentially as IF-THEN rules with at least one front preposition and at least one rear implication. The controller is of a kind which includes an input or fuzzyfier section having a plurality of inputs for analog or digital signals, a central control unit or fuzzy controller core placed after said input section and being provided with memories, and an output section or defuzzyfier connected to the output of the central unit to convert the results of the inference operations back to analog or digital signals.

Abstract: A method for setting up the memories of an electronic controller operated in a fuzzy logic manner whereby membership functions (.mu.(x)) of logic variables are subjected to inference operations which are configured as a set of (IF-THEN) rules, each having at least one fore (IF) preposition and at least one consequent (THEN) implication. The memories prearranged to store the data about a set of membership functions tied to the fore (IF) parts of the (IF-THEN) rules separately from the data associating each logic variable (X) with a corresponding one of the membership functions in said set.

Abstract: A fuzzy logic electronic controller whereby predetermined membership functions .mu.(x) of logic (X) variables are subjected to so-called inference operations configured essentially as IF-THE rules with at least one front preposition and at least one rear implication. The controller is of a kind which includes an input or fuzzyfier section having a plurality of inputs for analog or digital signals, a central control unit or fuzzy controller core placed after said input section and being provided with memories, and an output section or defuzzyfier connected to the output of the central unit to convert the results of the inference operations back to analog or digital signals.

Abstract: An architecture for an electronic controller operated using fuzzy logic, including an input section with a plurality of inputs for analog or digital signals, a central control unit provided with memories wherein fuzzy logic membership functions are stored, and a defuzzyfier section has its input section composed of a plurality of fuzzyfiers arranged in parallel and independent of one another, each fuzzyfier including an analog input and a digital input for receiving signals from external sensors, and digital outputs connected to the input of a corresponding read-only memory of the central unit to select the address of a memory word.

Abstract: An architecture for an electronic controller operated using fuzzy logic, including an input section with a plurality of inputs for analog or digital signals, a central control unit provided with memories wherein fuzzy logic membership functions are stored) and a defuzzyfier section has its input section composed of a plurality of fuzzyfiers arranged in parallel and independent of one another, each fuzzyfier including an analog input and a digital input for receving signals from external sensors, and digital outputs connected to the input of a corresponding read-only memory of the central unit to select the address of a memory word.Membership functions are stored and retrieved from a memory according to a method which simplifies addressing and reduces the number of required accesses.