Abstract: In a method for determining touch applied to an electronic device, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A signal change due to a change in a feature of the finger during a touch interaction with the ultrasonic sensor is determined based on differences between the first data and the second data. A touch applied by the finger to the electronic device is determined based at least in part on the signal change due to the change in the feature of the finger.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: In a method for determining touch applied to an electronic device, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A signal change due to a deformation of the finger during a touch interaction with the ultrasonic sensor is determined based on differences between the first data and the second data. A touch applied by the finger to the electronic device is determined based at least in part on the signal change due to the deformation.

Abstract: A sensor processing unit comprises a sensor processor. The sensor processor is configured to communicatively couple with a microphone. The sensor processor is configured to acquire, from the microphone, a sample captured by the microphone from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: Always-on or nearly always-on sensing of human touch at a device is provided. The sensing is split into a low-power detection stage and a full-power analysis stage, where the detection stage is implemented continually or nearly continually and causes system circuitry to perform analysis of the human touch after the low-power detection stage has confirmed the human touch. The sensing permits avoiding the reliance on physical actuation of a trigger prior to analysis of human touch.

Abstract: Always-on or nearly always-on sensing of human touch at a device is provided. The sensing is split into a low-power detection stage and a full-power analysis stage, where the detection stage is implemented continually or nearly continually and causes system circuitry to perform analysis of the human touch after the low-power detection stage has confirmed the human touch. The sensing permits avoiding the reliance on physical actuation of a trigger prior to analysis of human touch.

Abstract: In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

Abstract: A sensor processing unit comprises a microphone and a sensor processor. The sensor processor is coupled with the microphone. The sensor processor is configured to operate the microphone to capture an audio sample from an environment in which the microphone is disposed. The sensor processor is configured to perform music activity detection on the audio sample to detect for music within the audio sample. Responsive to detection of music within the audio sample, the sensor processor is configured to send a music detection signal to an external processor located external to the sensor processing unit, the music detection signal indicating that music has been detected in the environment.

Abstract: Various embodiments provide for a dynamically programmable acoustic sensor that can adjust various parameters affecting sensitivity, acoustic overload point, signal to noise ratio and other parametric choices that affect the performance and function of the acoustic sensor. A sound analysis engine can monitor the ambient noise in real time and adjust the parameters in response to changes in the ambient noise. In other embodiments, there can be preset configurations based on various sound profiles, and when the sound analysis engine determines that the ambient noise matches one of the sound profiles, the parameters of the programmable acoustic sensor can be dynamically adjusted to match the preset configuration.

Abstract: Always-on or nearly always-on sensing of human touch at a device is provided. The sensing is split into a low-power detection stage and a full-power analysis stage, where the detection stage is implemented continually or nearly continually and causes system circuitry to perform analysis of the human touch after the low-power detection stage has confirmed the human touch. The sensing permits avoiding the reliance on physical actuation of a trigger prior to analysis of human touch.

Abstract: A data frame is received at a network switch, the data frame containing congestion status information for at least a first traffic class and a second traffic class associated with packets being transmitted by the network switch to a network interface device. When the network switch determines, in response to the data frame containing congestion status information, that the congestion status information indicates congestion corresponding to the first traffic class, the network switch reduces a rate of transmission of packets (i) corresponding to the first traffic class and (ii) destined for the network interface device.

Abstract: A first device including a battery, a first connector, a charging module, a sensing module, and a communication module. The first connector includes a power supply pin, a ground pin, two transmit pins, and two receive pins, and connects the first device to a second device. The charging module receives power from the second device via the power supply pin and the ground pin to charge the battery and supplies power from the battery to the second device via the power supply pin and the ground pin. The sensing module senses the power supply pin and the ground pin of the first connector and detects when the first device (i) connects to the second device via the first connector and (ii) disconnects from the second device. The communication module communicates with the second device via the two transmit pins and the two receive pins using a PCIe protocol.

Abstract: A method for preventing head of line blocking in an Ethernet system. In one embodiment, a network interface detects whether there is traffic flow congestion between the network interface and a data processing unit such as a CPU or other peripheral. If yes, the network interface communicates the congestion status to its attached Ethernet switch. In another aspect of the invention, the Ethernet switch then stops serving the congested port or queue, and informs a switch from which the traffic flow causing the congestion originates. In a further aspect, the originating switch then reduces bandwidth for the traffic flow causing the congestion. In a still further aspect, the originating switch can take the bandwidth that it acquired because of reducing the congesting traffic flow, and use it to increase bandwidth for other traffic flow.

Abstract: A switch includes a plurality of ports including at least one bus port associated with ports connected to other switches in a network and a memory to store a hash table including MAC addresses and VLAN ids of ports in the network. For each one of the VLAN ids, one of the MAC addresses identifies one of the other switches having ports belonging to the one of the VLAN ids without identifying the ports of the one of the other switches that belongs to the one of the VLAN ids.