A signal correction apparatus of an SBW system may include: a command signal receiving/transmitting unit configured to receive a command signal transmitted through a vehicle communication network by an upper level apparatus, and transmit a command signal, obtained by correcting the linearity of the received command signal, to a lower level apparatus through the vehicle communication network; a buffer unit configured to store the command signal, received through the command signal transmitting/receiving unit, as an original signal; and a control unit configured to generate a command signal whose linearity is corrected, by correcting the linearity of the original signal by using the original signal stored as the command signal in the buffer unit and a command signal obtained by delaying the command signal, stored in the buffer unit, by designated one unit time.

Methods, devices, and systems are provided for synchronizing a source device with a sink device. In some examples, the source device plays first audio using, e.g., an electro-acoustic transducer. The source device transmits a stream of packets to the sink device to be used by the sink device for playing second audio, where the playing of the second audio is to be synchronized within a predefined tolerance with the playing of the first audio. In response to determining there is a delay in average packet arrival times of the stream of packets at the sink device, the source device adjusts the playing of the first audio to maintain synchronization with the playing of the second audio within the predefined tolerance.

A method may include obtaining sensor data from one or more LiDAR units and determining a point-cloud corresponding to the sensor data obtained from each respective LiDAR unit. The method may include aggregating the point-clouds as an aggregated point-cloud. A number of data points included in the aggregated point-cloud may be decreased by filtering out one or more of the data points according to one or more heuristic rules to generate a reduced point-cloud. The method may include determining an operational granularity level for the reduced point-cloud. An array of existence-based objects may be generated based on the reduced point-cloud and the operational granularity level.

A receiving device determines that a first PHY needs to be added to a first FlexE group in a working state. The receiving device performs a deskew on the first PHY or each PHY in the first FlexE group based on a received data stream corresponding to the first PHY and a received data stream corresponding to each PHY in the first FlexE group, and restores a data stream corresponding to a client from a PHY in the first FlexE group. If a skew between the data stream corresponding to the first PHY and the data stream corresponding to each PHY in the first FlexE group after the deskew is performed is zero, the receiving device restores a data stream corresponding to a client from a PHY in a second FlexE group so that flexibility of adjusting a PHY in a FlexE group in a working state is improved.

A communication apparatus includes a requester unit configured to issue a request for transmission of a packet, a transfer unit configured to transfer the packet based on the request, a transmission unit configured to transmit the packet transferred by the transfer unit and to output a timestamp based on the transmission of the packet, and a control unit configured to control output of a tag associating the packet with the timestamp based on predetermined information that is read from an interface between the transfer unit and the transmission unit.

A method may include determining an alignment time based on a zero-crossing point corresponding to a LiDAR sensor and a horizontal field of view corresponding to an image-capturing sensor. The method may include determining a delay timing for initiating image capturing by the image-capturing sensor in which the delay timing is based on at least one of: the alignment time, a packet capture timing corresponding to the LiDAR sensor, and an average frame exposure duration corresponding to the image-capturing sensor. The method may include initiating data capture by the LiDAR sensor, and after the initiating of data capture by the LiDAR sensor and after the delay timing has elapsed, initiating data capture by the image-capturing sensor.

The present disclosure relates to a communication device, a communication method, and a program that make it possible to perform an appropriate output control based on time synchronization for a plurality of sensors. There are provided: a communication processing control section that controls communication processing in accordance with a predetermined standard with a plurality of sensors; and a time synchronization counter to implement a timing control defined in the standard. Then, information processing is performed that is necessary for an output control that causes the time synchronization counter to time synchronize with time synchronization counters included in the respective sensors to output time data indicating a timing at which sampling data is sampled together with the sampling data sampled at a predetermined sampling cycle in the plurality of sensors. The present technology is applicable, for example, to a communication system employed in a movable body including the plurality of sensors.

To suppress EMI noise when performing serial transmission by a plurality of transmission cables.

A communication apparatus includes a plurality of communication units that transmits a plurality of first signals to a plurality of cables at different times and receives a plurality of second signals via the plurality of cables at different times, in a time division duplex (TDD) communication method.

One exemplary aspect relates to normalizing latency in a networking environment to reduce the chances of creating an unfair advantage. While an exemplary aspect will be discussed in relation to a gaming environment, it is to be appreciated that the techniques disclosed herein can be applied to other environments where latency normalization or the ability to maintain latency between various endpoints is desired. For example, other environments include eSporting, on-line betting, fantasy esports, streaming services, etc. Some more specific examples include World of Warcraft®, Overwatch®, H1Z1®, PUBG®, Fortnite®, Realm Royale®, Planet Side 2®, real-time strategy games, slot machines, electronic poker tournaments, etc.

A bio-signal data processing apparatus includes a communicator configured to receive electrocardiogram data from a bio-signal measuring apparatus, a recording unit configured to record the electrocardiogram data, a transmission delay determiner, and an output information generator. The transmission delay determiner is configured to generate transmission delay information by comparing a recording time of the electrocardiogram data with a reception time of the electrocardiogram data, detect whether or not a delay according to data transmission occurs, by considering the transmission delay information, and, when the delay is detected to occur, calculating delay time information that is calculated on the basis of the transmission delay information. The output information generator is configured to correct the electrocardiogram data by using the delay time information and generate output data of the electrocardiogram data corresponding to a user input.