Texas Instruments Corporation

Apple Inc.

Other

Fernando Alberto Mujica

Milind Anil Borkar

Sandeep Kesrimal Oswal

Lei Ding

Arthur John Redfern

Prakash Easwaran

Zigang Yang

Murtaza Ali

Charles Kasimer Sestok, Iv

Udayan Dasgupta

Roland Sperlich

Leland W Lew

Joyce Y Kwong

Christopher L Mills

Liran Fishel

Jaewon Shin

Sung Hee Park

Gregory Copeland

Hardik Prakash Gandhi

Erik K Norden

Kun Shi

Seungjin Lee

Mark P Colosky

Marco Corsi

Nirmal Chindhu Warke

Georgios Ginis

Michael Oliver Polley

Paul A Baker

William Louis Abbott

Mangesh Devidas Sadafale

Venkatesh Srinivasan

Arijit Raychowdhury

Patrick Satarzadeh

Krista S Jacobsen

Lars Jorgensen

Charles Sestok

Abhaya Kumar

Seydou Nourou Ba

Carson Arthur Wick

Eduardo Bartolome

Yaser M Ibrahim

Victoria Wang

Pradeep Kiran Sarvepalli

Diptendra Narayan Basu

Jamie M Waydo

In an embodiment, an automation controller periodically generates stop trajectories and controls actuators to follow the stop trajectories. As long as new stop trajectories continue to be generated, the automation controller may follow a destination trajectory that is formed from the first portion of each stop trajectory. If stop trajectories are not generated for a period of time (e.g., due to failure in one or more computers generating the stop trajectories), the automation controller may continue to follow the most recent stop trajectory and bring the mobile machine to a stop.

Automation control using stop trajectories

Embodiments relate to a neural processor circuit with scalable architecture for instantiating one or more neural networks. The neural processor circuit includes a data buffer coupled to a memory external to the neural processor circuit, and a plurality of neural engine circuits. To execute tasks that instantiate the neural networks, each neural engine circuit generates output data using input data and kernel coefficients. A neural processor circuit may include multiple neural engine circuits that are selectively activated or deactivated according to configuration data of the tasks. Furthermore, an electronic device may include multiple neural processor circuits that are selectively activated or deactivated to execute the tasks.

Scalable neural network processing engine

In an embodiment, an automation system for a vehicle may employ a variety of diversities to enhance reliability, accuracy, and stability in automating operation of the vehicle. For example, in an embodiment, an automation system for a vehicle may include multiple sensor pods with overlapping fields of view. Each sensor pod may include multiple different sensors in an embodiment, providing diverse views of the environment surrounding the vehicle. A set of sensor pods with overlapping fields of view may also transmit their object data at different points in time, providing diversity in time. Redundancy in other areas, such as the network switches which connect the sensor pods to an automation controller, may also aid in provided fail operational functionality. In an embodiment, the sensor pods may include local processing to process the data captured by the sensors into object identification.

Architecture for automation and fail operational automation

Data generated by one or more data producers may be transmitted via multiple communication paths according to a path transmission scheme that divides transmission of different portions of the data amongst different communication paths. Upon a failure of a communication path, transmission of data may continue for those portions of data that are not assigned to the failed communication path. In some embodiments, modifications to the path transmission scheme may be made to change the division of data amongst remaining communication paths in the event of failure.

Redundant communication path transmission

Embodiments of the invention provide a DPD system where the transmit reference signal is transformed, including sub-sampling, frequency translation, and the like, to match the feedback signal, which goes thru a similar transformation process, to obtain an error signal. The same transformation is applied to a system model, which may be Jacobian, Hessian, Gradient, or the like, in an adaptation algorithm to minimize error.

Digital pre-distortion of non-linear systems with reduced bandwidth feedback

Samples of a light radar ('LIDAR') return signal are stored in an analog circular buffer following the transmission of a LIDAR pulse. Sampling continues for a fixed period of time or number of samples during a post-trigger sampling period after the occurrence of a trigger signal from a trigger circuit. The trigger circuit indicates the receipt of a return pulse associated with a target object based upon one or more return signal characteristics. Following the post-trigger sampling period, the stored analog samples are sequentially read out and converted to digital sample values. The digital sample values may be analyzed in a digital processor to further confirm the validity of the returned LIDAR pulse, to determine a time of arrival of the LIDAR pulse, and to calculate a distance to the target object. Some versions include multiple circular buffers and capture clocks, enabling the capture of samples from multiple return pulses.

Light radar signal processing apparatus, systems and methods

Performing digital predistortion (DPD) for widely spaced narrowband signals, such as the signal used in multi-carrier GSM, can be very difficult. Here, a system is provided the performs DPD for widely spaced narrowband signals. In particular, this system uses a polynomial curve for values of a cross-correlation function (above a predetermined threshold) to determine a delay estimate, which allows for a more robust and accurate system.

Robust transmit/feedback alignment

Compressive sensing is an emerging field that attempts to prevent the losses associated with data compression and improve efficiency overall, and compressive sensing looks to perform the compression before or during capture, before energy is wasted. Here, several analog-to-digital converter (ADC) architectures are provided to perform compressive sensing. Each of these new architectures selects resolutions for each sample substantially at random and adjusts the sampling rate as a function of these selected resolutions.

Compressive sensing analog-to-digital converters

An apparatus and system are provided for crest factor reduction (CFR). Preferably, a peak from the wideband signal is detected. A gain from the magnitude of the peak and a threshold can then be calculated. Based on this information, each carrier's contribution to the peak can be approximated, and a cancellation pulse coefficient for each carrier from its contribution to the peak can be calculated. A base cancellation pulse can be calculated from the cancellation pulse coefficients for each carrier, and a cancellation pulse can be calculated from the base cancellation pulse and the gain, which can then be applied to the wideband signal.

Method and system for crest factor reduction

Conventional transceivers do provide some compensation for in-phase/quadrature (I/Q) imbalance. However, these techniques do not separately compensate for I/Q imbalance for the transmitter and receiver sides of the transceiver. Here, a transceiver is provided that allows for compensation of I/Q imbalance in the transmitter and receiver irrespective of the other to allow for a more accurate transceiver.

Joint transmit and receive I/Q imbalance compensation

Systems and methods for identifying a transmission channel response and a feedback channel response from a plurality of composite system responses are disclosed. A plurality of shifted feedback signals are created by shifting a feedback signal frequency by a plurality of first offset values and/or by shifting a transmission signal frequency by a plurality of second offset values. The feedback signals are compared to an input signal to identify the transmission channel response and/or a feedback channel response. A control signal is generated for a pre-distortion circuit to modify the input signal by an inverse of the transmission channel response. The composite system response is measured at a plurality of operating frequencies and at the plurality of offset values. The measurements are stored in a matrix and singular value decomposition is applied to the matrix of measurements to calculate the transmission channel response and feedback channel response.

System and method for estimating a transmit channel response and/or a feedback channel response using frequency shifting

An apparatus is provided. In the apparatus, an input to index (I2I) module maps a complex input into a real signal. A real data tap delay line is coupled to the I2I module and includes N delay-elements. A complex data tap delay line is configured to receive the complex input and includes M delay elements. A set of K of non-linear function modules is also provided. Each non-linear function module from the set has at least one real input, at least one complex input, and at least one complex output. A configurable connectivity crossbar multiplexer couples K of the N real tap delay line elements to real inputs of the set non-linear functions and couples K of the M complex tap delay line elements to complex inputs of the set non-linear function modules.

Systems and methods of power amplifier digital pre-distortion

Growing community of inventors

Allen, TX, United States of America

Fernando Alberto Mujica