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公开(公告)号:US20230221422A1
公开(公告)日:2023-07-13
申请号:US18150534
申请日:2023-01-05
Applicant: STMICROELECTRONICS S.r.l.
Inventor: Francesca CARMINATI , Marco PASSONI , Beatrice ROSSI , Diego CARRERA , Pasqualina FRAGNETO
CPC classification number: G01S7/526 , H04R29/001 , H04R3/04 , H04R17/10 , G01S15/06 , H04R2201/003
Abstract: A method of operating a PMUT electro-acoustical transducer, the method comprising: applying over an excitation interval to the transducer an excitation signal which is configured to emit corresponding ultrasound pulses towards a surrounding space, acquiring at a receiver reflected ultrasound pulses as reflected in said surrounding space, generating a reference echo signal, performing a cross-correlation of said acquired received ultrasound pulses with said reference echo signal, performing a measurement based on the cross-correlation results, in particular a measurement of the time of flight of the ultrasound pulses, wherein said reference echo is obtained by finding an oscillation frequency of the transmitter on the basis of a transmitter ringdown signal, finding an oscillation frequency of the receiver on the basis of a receiver ringdown signal, performing a frequency tuning respectively on the transmitter and the receiver on the basis of said respective oscillation frequencies, then sweeping an input frequency of the transmitter to find a frequency of the maximum displacement in the ringdown signal, performing a frequency tuning of the receiver at said frequency of the maximum displacement in the ringdown signal of the transmitter.
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公开(公告)号:US20170340292A1
公开(公告)日:2017-11-30
申请号:US15169184
申请日:2016-05-31
Applicant: STMicroelectronics S.r.l. , Politecnico Di Milano
Inventor: Beatrice ROSSI , Pasqualina FRAGNETO , Daniele ZAMBON , Diego CARRERA , Giacomo BORACCHI
IPC: A61B5/00 , A61B5/04 , A61B5/0245 , A61B5/0402 , A61B5/024
CPC classification number: A61B5/7267 , A61B5/0022 , A61B5/02438 , A61B5/0245 , A61B5/04012 , A61B5/04017 , A61B5/0402 , A61B5/04525 , A61B5/0456 , A61B5/0468 , A61B5/0472 , A61B5/1118 , A61B5/7207 , A61B5/7221 , A61B5/7232 , A61B5/7253 , A61B5/7278 , A61B2505/07 , A61B2562/0219
Abstract: A heartrate monitor detects heartbeats in a test signal. A local heartrate and an energy of acceleration are associated with the detected heartbeats. Detected heartbeats are included or excluded from a test set of heartbeats based on the local heartrate and energy of acceleration associated with the respective heartbeats. Anomalous heartbeats in the test set of heartbeats are detected using a sparse approximation model. The heartrate monitor may detect heartbeats in a training heartbeat signal. A reference heart rate and an energy of acceleration are associated with detected beats of the training heartbeat signal and selectively included in a set of training data based on the heart rate and energy of acceleration associated with the detected beat in the training heartbeat signal. A dictionary of the sparse representation model may be generated using the set of training data.
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公开(公告)号:US20220366105A1
公开(公告)日:2022-11-17
申请号:US17244313
申请日:2021-04-29
Applicant: STMicroelectronics S.r.l.
Inventor: Nicolo FOLLONI , Mattia MONETTI , Diego CARRERA , Beatrice ROSSI , Giancarlo ZINCO , Alberto BALZAROTTI , Pasqualina FRAGNETO
IPC: G06F30/23
Abstract: A method of performing an electro-thermo simulation includes defining a non-linear heat diffusion problem for at least a portion of a semiconductor device to be modeled, performing a finite volume discretization of the non-linear heat diffusion problem, reformulating a non-linear term of the discretized non-linear heat diffusion problem to decrease dimensions thereof, performing a hyper reduction of the reformulated non-linear term, and recovering the non-linear heat diffusion problem for the portion of the semiconductor device, and manufacturing the modeled semiconductor device.
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公开(公告)号:US20220027715A1
公开(公告)日:2022-01-27
申请号:US17383132
申请日:2021-07-22
Applicant: STMICROELECTRONICS S.r.l.
Inventor: Diego CARRERA , Matteo COLELLA , Giuseppe DESOLI , Giacomo BORACCHI , Beatrice ROSSI , Pasqualina FRAGNETO , Luca FRITTOLI
Abstract: A method, comprising: providing an ANN processing stage having a plurality of processing layers with respective parameters including at least one set of weight parameters, at least one input, resp. output, activation parameter and at least one activation function parameter; setting to an integer value a dimensional parameter of a lattice having a plurality of lattice points and identified by a set of basis vectors; selecting a set of weight parameters of a respective processing layer; vectorizing the selected set of weight parameters producing a set of weight vectors arranged as items of a matrix of weight vectors; normalizing the matrix of weight vectors; applying lattice vector quantization, LVQ, processing to the matrix of normalized weight vectors, producing a codebook of codewords; indexing by encoding codewords of the codebook as a function of the lattice, producing respective tuples of indices. The normalization comprises solving an optimization problem having a first term configured to provide normalized weight values approximating at least output, as a function of at least one input, activation parameter, and a regularization term ΩL, configured to amplify weight values having a short distance from the lattice points of the lattice L.
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公开(公告)号:US20170360377A1
公开(公告)日:2017-12-21
申请号:US15696051
申请日:2017-09-05
Applicant: STMicroelectronics S.r.l. , POLITECNICO DI MILANO
Inventor: Beatrice ROSSI , Pasqualina FRAGNETO , Diego CARRERA , Giacomo BORACCHI , Daniele ZAMBON
IPC: A61B5/00 , A61B5/0245 , A61B5/0456 , A61B5/0432
CPC classification number: A61B5/7267 , A61B5/0006 , A61B5/0022 , A61B5/02438 , A61B5/0245 , A61B5/04012 , A61B5/04017 , A61B5/04325 , A61B5/04525 , A61B5/0456 , A61B5/0468 , A61B5/0472 , A61B5/1118 , A61B5/6802 , A61B5/7207 , A61B5/7221 , A61B5/7232 , A61B5/7253 , A61B5/7278 , A61B2505/07 , A61B2562/0219
Abstract: A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.
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