Synopsys, Inc.

Siemens Aktiengesellschaft

Michael W Lynch

Ayal S Shoval

John Theodore Stonick

Dino Anthony Toffolon

Dorin Comaniciu

Bogdan Georgescu

Razvan Ionasec

Dime Vitanovski

Cameron Lacy

Gopal Krishna Ullal Nayak

Sergei Uhanov

Tom Thomas

Jin Chen

Ankit Somani

Ameer Muhammad Youssef

Sujoy Chakravarty

Adam Ross Burns

A re-timer device includes transceiver circuitry. The transceiver circuitry includes clock generation circuitry and first receiver circuitry. The clock generation circuitry generates a first clock signal. The first receiver circuitry receives the first clock signal and a first input signal. The first receiver circuitry generates a first frequency offset value based on the first input signal and the first clock signal. The first input signal has a first frequency and the first clock signal has a second frequency different than the first frequency. The first receiver circuitry outputs the first frequency offset value.

Transceiver devices with transmitter and receiver frequency control

A system and method that measures the code non-linearity of a phase mixer (PMIX) during active operation of a clock and data recovery (CDR) circuitry. The PMIX circuitry generates a clock signal based on the PMIX codes. The PMIX circuitry receives a plurality of codes and based on the code value, adjusts the phase of the PMIX output clock signal. A number of times each of the plurality of PMIX codes occurs within a respective time period is determined. Non-linearity values are determined based on the number of times. The non-linearity values are stored in a memory.

Phase mixer non-linearity measurement within clock and data recovery circuitry

A system and method which compensates for phase mixer circuit non-linearities within a clock and data recovery (CDR) system during active operation. The CDR system includes compensation circuitry and phase accumulation circuitry. The compensation circuitry generates a first compensation signal based on a first compensation value. The phase accumulation circuitry receives the first compensation signal and a phase accumulator input update signal. The phase accumulation circuitry combines the first compensation signal with the phase accumulator input update signal to compensate for a first non-linearity within phase mixer (PMI) circuitry.

Phase mixer non-linearity compensation within clock and data recovery circuitry

A BGR circuit for sub-1V ICs utilizes a voltage chopping circuit and/or a current chopping circuit and a low-frequency filter to stabilize the output reference voltage that is generated by an op-amp, a current mirror circuit, a CTAT stage, a PTAT stage, and an output stage. The voltage chopping circuit reduces input offset and 1/f noise by periodically alternating (time-averaging) the negative temperature dependent and positive temperature dependent voltages supplied by the CTAT and PTAT stages to the op-amp's input terminals. The current chopping circuit minimizes current variations caused by process-related differences in the current mirror devices by periodically alternating (time-averaging) three balanced currents generated by the current mirror circuit such that each current is transmitted equally to each of the CTAT, PTAT and output stages. The filter serves to maintain loop stability and remove the low frequency noise generated by the applied voltage and/or current chopping operations.

Band-gap reference circuit with chopping circuit

A method and system for modeling the pulmonary trunk in 4D image data, such as 4D CT and MRI data, is disclosed. Bounding boxes are detected in frames of the 4D image data. Anatomic landmarks are detected in the frames of the 4D image data based on the bounding boxes. Ribs or centerlines of the pulmonary artery are detected in the frames of the 4D image data based on the anatomic landmarks, and a physiological pulmonary trunk model is fit the frames of the 4D image data based on the detected ribs and anatomic landmarks. The boundary of the pulmonary trunk is detected in order to refine the boundary of the pulmonary trunk model in the frames of the 4D image data, resulting in a dynamic model of the pulmonary trunk. The pulmonary trunk can be quantitatively evaluated using the dynamic model.

Dynamic pulmonary trunk modeling in computed tomography and magnetic resonance imaging based on the detection of bounding boxes, anatomical landmarks, and ribs of a pulmonary artery

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Toronto, Canada

Michael W Lynch