Abstract: A system comprising: a radar sensor configured to produce a set of radar readings distributed amongst a plurality of distance bins; an image projection module configured to project at least some of the radar readings onto an image comprising a 2D Cartesian grid of pixels based on the respective azimuth angles and elevations, wherein for each pixel where a radar reading is present the pixel comprises a respective value of at least one non-binary channel comprising at least one of measured property of the radar reading; and a machine learning model for image recognition, arranged to receive the image and to detect an object therein, wherein the machine learning model is configured to perform the detection based on at the values of the at least one non-binary channel for each pixel.

Abstract: A system comprising a microphone arranged to capture sound from an environment, and an ultrasound emitter configured to emit an emitted ultrasound signal into an environment. The microphone is arranged to capture a received audio signal from the environment, comprising a component in the human audible range. The microphone is also arranged to capture a received ultrasound signal comprising reflections of the emitted ultrasound signal, or else the system comprises another, co-located microphone arranged to capture the received ultrasound signal. Either way, the system further comprises a controller implemented in software or hardware or a combination thereof, wherein the controller is configured to process the received audio signal in dependence on the received ultrasound signal.

Abstract: A system comprising a microphone arranged to capture sound from an environment, and an ultrasound emitter configured to emit an emitted ultrasound signal into an environment. The microphone is arranged to capture a received audio signal from the environment, comprising a component in the human audible range. The microphone is also arranged to capture a received ultrasound signal comprising reflections of the emitted ultrasound signal, or else the system comprises another, co-located microphone arranged to capture the received ultrasound signal. Either way, the system further comprises a controller implemented in software or hardware or a combination thereof, wherein the controller is configured to process the received audio signal in dependence on the received ultrasound signal.

Abstract: A method of using a directional microphone unit having an array of constituent microphones. Each of a plurality of the microphones receives substantially white noise via a direct path from a source, and also receives an echo comprising a reflection of the white noise from at least one surface, thereby obtaining a received noise signal comprising a combination of the directly-received noise and the echo. For each of the plurality of microphones, a spacing is identified between lobes and/or troughs in a respective spectrum of the received noise signal as received by the respective microphone, thereby determining an additional distance travelled by the echo to the respective microphone relative to the direct path. A direction of the source is calculated based on the additional distance travelled for each of said plurality of microphones.

Abstract: A method of using a directional microphone unit having an array of constituent microphones. Each of a plurality of the microphones receives substantially white noise via a direct path from a source, and also receives an echo comprising a reflection of the white noise from at least one surface, thereby obtaining a received noise signal comprising a combination of the directly-received noise and the echo. For each of the plurality of microphones, a spacing is identified between lobes and/or troughs in a respective spectrum of the received noise signal as received by the respective microphone, thereby determining an additional distance travelled by the echo to the respective microphone relative to the direct path. A direction of the source is calculated based on the additional distance travelled for each of said plurality of microphones.

Abstract: A system comprising a microphone arranged to capture sound from an environment, and an ultrasound emitter configured to emit an emitted ultrasound signal into an environment. The microphone is arranged to capture a received audio signal from the environment, comprising a component in the human audible range. The microphone is also arranged to capture a received ultrasound signal comprising reflections of the emitted ultrasound signal, or else the system comprises another, co-located microphone arranged to capture the received ultrasound signal. Either way, the system further comprises a controller implemented in software or hardware or a combination thereof, wherein the controller is configured to process the received audio signal in dependence on the received ultrasound signal.

Abstract: A system comprising: a server; a computer terminal coupled remotely to the server via a network and installed with a web browser; and an external test platform, connected externally to the computer terminal, the test platform comprising a programmable target device and interface circuitry operable to communicate between the computer terminal and the target device. The server hosts a development tool available for download to the web browser via the network. The development tool comprises: one or more applets to be run by the web browser, and one or more web pages for display by the web browser to provide a user-interface for the development tool including to provide access to the one or more applets. The one or more applets at least comprise code-analysis applet software programmed so as when run by the web browser to operate said interface circuitry to: load code to be tested from the computer terminal onto the target device for test operation.

Abstract: One aspect of the present invention provides processor comprising: an execution unit arranged to execute a sequence of instructions each comprising a respective opcode; and a counter coupled to the execution unit and arranged to generate a periodically updated counter value during execution. The execution unit comprises logic configured to identify an opcode representing a trap-if-late instruction in said sequence, and in response to execute the trap-if-late instruction by comparing a target value to the counter value and generating an exception on condition that the counter value represents a time that is late relative to said target value. Another aspect provides a compiler for inserting trap-if-late instructions based on timing constraints in higher-level code.

Abstract: A system comprising: a server; a computer terminal coupled remotely to the server via a network and installed with a web browser; and an external test platform, connected externally to the computer terminal, the test platform comprising a programmable target device and interface circuitry operable to communicate between the computer terminal and the target device. The server hosts a development tool available for download to the web browser via the network. The development tool comprises: one or more applets to be run by the web browser, and one or more web pages for display by the web browser to provide a user-interface for the development tool including to provide access to the one or more applets. The one or more applets at least comprise code-analysis applet software programmed so as when run by the web browser to operate said interface circuitry to: load code to be tested from the computer terminal onto the target device for test operation.

Abstract: A method of inferring a state of activity of a carrier of a mobile communication device, the method comprising a. monitoring a parameter of a transmitter serving the mobile communication device and of a plurality of neighbouring transmitters; b. acquiring data relating to the monitored parameter of the serving transmitter and the neighbouring transmitters during a time window; c. processing the acquired data to generate a time window parameter associated with the time window; d. repeating steps b and c for one or more further time windows; and e. inferring the state of activity of the carrier of the mobile communication device from the time window parameters generated in steps b and c.