Stmicroelectronics S.r.l.

Stmicroelectronics Gmbh

Stmicroelectronics (shenzhen) R&d Co. Ltd.

Stmicroelectronics Asia Pacific Pte Limited

Omron Corporation

Sgs-thomson Microelectronics S.r.l.

Politecnico Di Milano

Stmicroelectron S.r.l.

Luca Molinari

Martino Zerbini

Simon Dodd

Andrea Barbieri

Teck Khim Neo

Mauro Pasetti

Andrea Nicola Colecchia

Franco Consiglieri

Davide Terzi

Marco Boschi

Elan Roth

Alex Domnits

Roberto Carminati

Takashi Kasai

Massimo Mancuso

Marco Zamprogno

Sebastiano Conti

Rinaldo Poluzzi

Giuseppe Maiocchi

Yuki Uchida

Giacomo Langfelder

Igino Padovani

Filippo David

Hongwei Wang

Viviana D'Alto

Nicolo' Boni

Shobu Sato

Sandro Dalle Feste

Raffaele Enrico Furceri

Daniele D'Elia

Paolo Frigerio

Xi Chun Ma

Hong Wei Wang

Nicolò Boni

Techniques to be described herein are based upon the combination of a digital lock-in amplifier approach with a numerical method to yield accurate estimations of the amplitude and phase of a sense signal obtained from a movement sensor associated with a resonant MEMS device such as a MEMS mirror. The techniques described herein are efficient from a computational point of view, in a manner which is suitable for applications in which the implementing hardware is to follow size and power consumption constraints.

Method to estimate phase and amplitude for control of a resonant MEMS mirror

A MEMS device includes a semiconductor body with a cavity and forming an anchor portion, a tiltable structure elastically suspended over the cavity, first and second support arms to support the tiltable structure, and first and second piezoelectric actuation structures biasable to deform mechanically, generating a rotation of the tiltable structure around a rotation axis. The piezoelectric actuation structures carry first and second piezoelectric displacement sensors. When the tiltable structure rotates around the rotation axis, the displacement sensors are subject to respective mechanical deformations and generate respective sensing signals in phase opposition to each other, indicative of the rotation of the tiltable structure. The sensing signals are configured to be acquired in a differential manner.

MEMS device with tiltable structure and improved control

A scanning laser projector includes an optical module with a housing defined by a top surface, a bottom surface, and sidewalls extending between the top surface and bottom surface to define an interior compartment within the housing. A given one of the sidewalls has an exit window defined therein. A first light detector is positioned at an interior surface of the given one of the sidewalls about a periphery of the exit window. A second light detector positioned at the interior surface of the given one of the sidewalls about the periphery of the exit window and on a different side thereof than the first light detector.

Scanning laser projector system utilizing photodiodes inside scan area but outside of projection area for feedback

Disclosed herein is a control system for a projection system, including a first subtractor receiving an input drive signal and a feedback signal and generating a first difference signal therefrom, the feedback signal being indicative of position of a quasi static micromirror of the projection system. A type-2 compensator receives the first difference signal and generates therefrom a first output signal. A derivative based controller receives the feedback signal and generates therefrom a second output signal. A second subtractor receives the first and second output signals and generates a second difference signal therefrom. The second difference signal serves to control a mirror driver of the projection system. A higher order resonance equalization circuit receives a pre-output signal from an analog front end of the projection system that is indicative of position of the quasi static micromirror, and generates the feedback signal therefrom.

Closed-loop position control of MEMS micromirrors

A scanning laser projector includes an optical module and projection engine. The optical module includes a laser generator outputting a laser beam, and a movable mirror scanning the laser beam across an exit window defined through the housing in a scanning pattern wider than the exit window such that the laser beam is directed through the exit window in a projection pattern that is smaller than and within the scanning pattern. A first light detector is positioned about a periphery of the exit window such that as the movable mirror scans the laser beam in the scan pattern, at a point in the scan pattern where the laser beam is scanned across an interior of the housing and not through the exit window, the laser beam impinges upon the first light detector. The projection engine adjusts driving of the movable mirror based upon output from the first light detector.

A device has memory and processing circuitry coupled to the memory. The processing circuitry generates a resonant axis drive signal to drive a Micro Electro Mechanical System (MEMS) mirror system at a resonance frequency, and generates a linear axis drive signal to drive the MEMS mirror system at a linear frequency corresponding to a video frame rate. Generating the linear axis drive signal includes generating, using interpolation, a current set of shape values based on a stored set of shape values and an indication of the video frame rate. The linear axis drive signal is generated using the current set of shape values.

System for controlling linear axis of a MEMS mirror

The present disclosure is directed to a microfluidic die that includes ejection circuitry and one time programmable memory with a minimal number of contact pads to external devices. The die includes a relatively large number of nozzles and a relatively small number of contact pads. The die includes decoding circuitry that utilizes the small number of contact pads to control the drive and ejection of the nozzles and the reading/writing of the memory with the same contact pads.

Fluid ejection device

An active noise cancelling device including a sensor configured to convert acoustic signals into first audio signals and a speaker acoustically coupled to the sensor A control stage is configured to control the speaker based on the first audio signals to cause the speaker to produce cancelling acoustic waves that tend to suppress acoustic noise components in the acoustic signals. The control stage includes sigma-delta modulator digital filters.

Active noise cancelling device and method of actively cancelling acoustic noise

A interface circuit for an acoustic transducer provided with a first detection structure and a second detection structure has: a first input and a second input; a first processing path and a second processing path coupled, respectively, to the first input and second input and supply a first processed signal and a second processed signal; and a recombination stage, which supplies a mixed signal by combining the first processed signal and the second processed signal with a respective weight that is a function of a first level value of the first processed signal. The first and second inputs receive a respective detection signal associated, respectively, to the first detection structure and to the second detection structure of the acoustic transducer; and an output stage the first processed signal, the second processed signal or the mixed signal, on the basis of a second level value of the first processed signal.

Digital electronic interface circuit for an acoustic transducer, and corresponding acoustic transducer system

A failure diagnosis circuit includes a multiplexer and a controller. The multiplexer receives address signals, and selectively outputs one of the address signals to an addressable module in response to a selecting signal. The controller generates a first one of address signals and the selecting signal. A built-in self-test circuit generates the second address signal. The addressable module includes addressable components responsive to the address signal. The controller processes the output of the addressable module responsive to the address signal to make a failure diagnosis. The built-in self-test circuit performs signature analysis on the read out output of the addressable module.

Failure diagnosis circuit

The present disclosure is directed to an acoustic transducer configured to detect a sound wave according to changes in capacitances between a vibrating electrode and a fixed electrode. At least one of the vibrating electrode and the fixed electrode being divided into a plurality of divided electrodes, and the plurality of divided electrodes outputting electrical signals. The disclosure includes a digital interface circuit coupled to the divided electrodes. The circuit includes a recombination stage, which supplies a mixed signal by combining the first digital processed signal and the second digital processed signal with a respective weight that is a function of a first level value of the first processed signal. An output stage is included, which supplies, selectively and alternatively, a first processed signal, a second processed signal, or a mixed signal.

Acoustic transducer and interface circuit

A method and a device for motion estimated and compensated Field Rate Up-conversion (FRU) for video applications is disclosed and claimed. The invention provides for dividing an image field to be interpolated into a plurality of image blocks, where each image block includes a respective set of image elements of the image field. In one embodiment, for each image block of a subset of image blocks, a group of neighboring image blocks is selected. A motion vector for the image block is estimated that describes the movement of the image block from a previous image field to a current image field on the basis of predictor motion vectors associated to the group of neighboring image blocks. Each image element of the image block is determined by interpolation of two corresponding image elements in the previous and current image fields related by the estimated motion vector. To estimate a motion vector, the invention provides for applying each of the predictor motion vectors to the image block to determine a respective pair of corresponding image blocks in the previous and current image fields. For each of the pairs of corresponding image blocks, an error function which is the Sum of luminance Absolute Difference (SAD) between corresponding image elements in the pair of corresponding image blocks is evaluated. For each pair of the predictor motion vectors, a degree of homogeneity is also evaluated, followed by the application of a fuzzy rule having an activation level that is proportional to the degree of homogeneity of the pair of predictor motion vectors and the error functions of the pair of predictor motion vectors. An optimum fuzzy rule having the highest activation level is selected, from which the best predictor motion vector is determined, having the smaller error function of the pair associated to the optimum fuzzy rule. In most cases, the motion vector for the image block is estimated on the basis of the best predictor motion vector.

Method for motion estimated and compensated field rate up-conversion (FRU) for video applications and device for actuating such method

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Piacenza, Italy

Luca Molinari