Abstract: Examples describe an egress port manager that uses an adaptive jitter selector to apply a jitter threshold level for a buffer, wherein the jitter threshold level is to indicate when egress of a packet segment from the buffer is allowed, wherein a packet segment comprises a packet header and wherein the jitter threshold level is adaptive based on a switch fabric load. In some examples, the jitter threshold level is to indicate a number of segments for the buffer's head of line (HOL) packet that are to be in the buffer or indicate a timer that starts at a time of issuance of a first read request for a first segment of the packet in the buffer. In some examples, the jitter threshold level is not more than a maximum transmission unit (MTU) size associated with the buffer.

Abstract: Examples describe an egress subsystem that can be used to schedule fetching and transmission of packets from a switch fabric. Segments of a packet can be requested from a switch fabric and stored in a re-order buffer to re-order any segments that are received out of order from the switch fabric. A header segment re-order buffer can be used to re-order segments of a header. After a header of a packet is available in the header segment re-order buffer, the header can be processed before the entire associated body is received from the switch fabric. A jitter threshold scheme can gate egress of a body from a re-order buffer unless a time threshold or amount threshold is met. The egress subsystem can track a state of packet segments from request to transmission, A flow control message received at the egress subsystem can cause packets in certain states to be paused and not permitted to egress.

Abstract: An apparatus for autonomous vehicles includes a perception pipeline having independent classification processes operating in parallel to respectively identify objects belonging to a specific object type based on sensor data flows from multiple ones of a plurality of different types of sensors. The apparatus also includes a sensor monitoring stage to operate in parallel with the perception pipeline and to use the sensor data flows to estimate and track a confidence level of each of the plurality of different types of sensors, and nullify a deficient sensor when the confidence level associated with the deficient sensor fails to meet a confidence threshold.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: Methods and apparatus for drone collision avoidance. Processing circuitry of a drone extracts information from an encoded image captured by a detection device with a field view overlapping the encoded image. Based on the extracted information a determination is made whether a collision will occur on the flight trajectory of the drone with an external source. The flight trajectory of the drone is then altered to avoid a collision.

Abstract: Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.

Abstract: A decoder having an input configured to receive a sequence of softbits presumed to correspond to a convolutionally-encoded codeword; and a decoding circuit configured to: determine, as part of a decoding process, a Maximum Likelihood (ML) survivor path in a trellis representation of the codeword; determine whether the presumed convolutionally-encoded codeword meets an early-termination criteria; and abort the decoding process if the presumed convolutionally-encoded codeword meets the early-termination criteria, continue the decoding process if the presumed convolutionally-encoded codeword fails to meet the early-termination criteria.

Abstract: Methods and apparatus are described for drone collision avoidance that includes extracting first feature information from an image. The image is captured from a first camera oriented in a direction. Second feature information is received from an external source. The second feature information is extracted from a second image of the environment captured by a second camera oriented in the direction. The first feature information and the second feature information are matched. A second local frame of reference of the second feature information is transformed to a first local frame of reference of the first feature information to determine a location of the external source. If a collision with the external source will occur is determined based on the location of the external source and a current flight trajectory.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: Examples describe use of multiple meta-data delivery schemes to provide tags that describe packets to an egress port group. A tag, that is smaller than a packet, can be associated with a packet. The tag can be stored in a memory, as a group with other tags, and the tag can be delivered to a queue associated with an egress port. Packets received at an ingress port can be as non-interleaved to reduce underrun and providing cut-through to an egress port. A shared memory can be allocated to store packets received at a single ingress port or shared to store packets from multiple ingress ports.

Abstract: A wireless device having processor circuitry; and a hardware circuit configured to implement, during an active steady-state of a Medium Access Control/Link Layer (MAC/LL) with scheduled channel access, a MAC/LL function without processor circuitry intervention, wherein the steady-state is a state that is control packet transmission free for managed connections in connection oriented communications or a continuous broadcast or scan operation in connectionless communications.

Abstract: A communication device is provided that includes a receiver configured to receive a signal. The communication device further includes a determination circuit configured to determine an interference estimation signal of the received signal based on a first signal sample of the received signal and on an interference signal model. The communication device further includes a correction circuit configured to determine a corrected interference estimation signal based on the determined interference estimation signal and on a second signal sample of the received signal. The communication device further includes a subtraction circuit configured to subtract the corrected interference estimation signal from the received signal.

Abstract: Example predictive wireless feedback control systems disclosed herein include a receiver to receive measurements of a controlled system via a first wireless link. Disclosed example systems also include an observer to output estimated values of states of the controlled system based on a state space model that is updated based on the measurements. Disclosed example system further include a predictor to predict future values of the states of the controlled system based on the estimated values of the states, a first latency of the first wireless link and an upper limit of a second latency associated with a second wireless link that is to communicate values of a control signal to an actuator associated with the controlled system. In disclosed examples, the predictor is to output the predicted future values of the states to a controller that is to determine the control signal.

Abstract: A wireless device, and corresponding method, having a receiver configured to receive a signal having in-phase and quadrature components; a non-linear filter demodulator configured to translate noncoherently the in-phase and quadrature components into phase and frequency domain signals, and to estimate and correct carrier frequency offset; a coherence signal parameter acquisition unit is configured to estimate and correct at least one correct coherence signal parameter based on the in-phase and quadrature components and the phase or frequency domain signal; and a symbol detector is configured to detect information in the phase or frequency domain signal.

Abstract: Example wireless feedback control systems disclosed herein include a receiver to receive a first measurement of a target system via a first wireless link. Disclosed example systems also include a neural network to predict a value of a state of the target system at a future time relative to a prior time associated with the first measurement, the neural network to predict the value of the state of the target system based on the first measurement and a prior sequence of values of a control signal previously generated to control the target system during a time interval between the prior time and the future time, and the neural network to output the predicted value of the state of the target system to a controller. Disclosed example systems further include a transmitter to transmit a new value of the control signal to the target system via a second wireless link.

Abstract: The present disclosure provides for the management of power of a NZE IoT device. Managing power can include receiving the one or more asynchronous events from the asynchronous event system, determining if any of the one or more asynchronous events meet a respective charge qualification, generating the power-on command for the power-managed compute system if any of the one or more asynchronous events meet the respective charge qualification, and waiting for a power source to reach a threshold associated with the respective charge qualification if any of the one or more asynchronous events do not meet the respective charge qualification.

Abstract: A transmitter is provided to address transmitter non-idealities. The transmitter uses a series of envelope detectors to detect imbalances between an I branch and a Q branch of an I/Q modulator that is implemented as part of the transmitter's front end, and these detected imbalances may be compensated by pre-distorting digital baseband signals fed to the I branch and the Q branch. The transmitter may also use a series of envelope detectors to detect nonlinearities in one or more of the transmitter's amplification stages, and these detected nonlinearities may be compensated by modifying the baseband signals via a digital linearization pre-compensator. The transmitter may also support both implementations in either a time-switched or simultaneous manner, allowing for I/Q imbalances and nonlinearities to be addressed using a single transmitter design.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: Systems, apparatuses and methods may provide for early pre-charge with respect to peak power events. Application performance may improve by pre-charging a supercap just prior to initiating a system wake up from a qualified system wake-source trigger. Additionally, the pre-charging of the supercap may be controlled by a time defined pre-charge period and may also be controlled by a predetermined threshold voltage.

Abstract: Methods and apparatus are described for drone collision avoidance that includes extracting first feature information from an image. The image is captured from a first camera oriented in a direction. Second feature information is received from an external source. The second feature information is extracted from a second image of the environment captured by a second camera oriented in the direction. The first feature information and the second feature information are matched. A second local frame of reference of the second feature information is transformed to a first local frame of reference of the first feature information to determine a location of the external source. If a collision with the external source will occur is determined based on the location of the external source and a current flight trajectory.