Sgs-thomson Microelectronics S.r.l.

Stmicroelectronics S.r.l.

Andrea Pagni

Rinaldo Poluzzi

Gianguido Rizzotto

Danilo Pietro Pau

Antonio Borneo

Vittorio Zaccaria

Poluzzi Rinaldo

Rizzotto Gianguido

Fabrizio Lucini

Maddalena Di Giura

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.

Process for translating instructions for an arm-type processor into instructions for a LX-type processor; relative translator device and computer program product

The fuzzy filtering of a noise signal comprising a plurality of signal samples &lsqb;s(t,k)&rsqb; 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 &lsqb;s(t)&rsqb; from among the plurality of signal samples, calculating a plurality of difference samples &lsqb;D(t,k)&rsqb; 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. The method further comprises determining weight parameters &lsqb;P(k)&rsqb; on the basis of the difference samples and the distance values by means of fuzzy logic and weighing the signal samples with the weight parameters so as to obtain a reconstructed signal sample &lsqb;o(t)&rsqb;.

Fuzzy filtering method and associated fuzzy filter

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. The controller includes a plurality of fuzzyfiers being disposed in parallel within said input section and each connected to a pair of analog and digital inputs, a plurality of storage modules corresponding in number to said fuzzyfiers and containing data of the front prepositions only of said rules, a fuzzy controller inference unit active in the central control unit to carry out logic operations based on said inference rules of the fuzzy logic by extracting data from said memories through an interfacing circuit, and an additional memory coupled between the fuzzy controller inference unit and the defuzzyfier and adapted to contain data pertaining to the rear (THEN) implications only of said inference rules.

Fuzzy logic electronic controller and associated method for setting up

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.

Fuzzy logic electronic controller architecture having two section

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. The controller includes a plurality of fuzzyfiers being disposed in parallel within the input section and each connected to a pair of analog and digital inputs, a plurality of storage modules corresponding in number to said fuzzyfiers and containing data of the front prepositions only of said rules, a fuzzy controller inference unit active in the central control unit to carry out logic operations based on the inference rules of the fuzzy logic by extracting data from said memories through an interfacing circuit, and an additional memory coupled between the fuzzy controller inference unit and the defuzzyfier and adapted to contain data pertaining to the rear (THEN) implications only of said inference rules.

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.

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.

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Milan, Italy

Andrea Pagni