NXP Semiconductors had two patents in digitalization during Q2 2024. The patent filed by NXP Semiconductors NV in Q2 2024 discloses methods for operating a communications device that communicates via inductive coupling, specifically focusing on active load modulation (ALM) communications. The method involves shifting transmission phases based on feedback from a reader device, conducting subsequent ALM communications under updated phases, obtaining new training data points, and training the communications device accordingly. GlobalData’s report on NXP Semiconductors gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NXP Semiconductors had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Online learning of transmission phase control for a communications device that communicates via inductive coupling (Patent ID: US20240137070A1)
The patent filed by NXP Semiconductors NV discloses methods for operating a communications device that communicates via inductive coupling, specifically focusing on active load modulation (ALM) communications. The method involves shifting transmission phases based on feedback from a reader device, conducting subsequent ALM communications under the updated phase, obtaining new training data points, and training the communications device, potentially using an artificial neural network (ANN) for improved performance.
Furthermore, the patent extends to near field communications (NFC) devices, detailing similar methods for shifting transmission phases, conducting ALM communications, obtaining training data points, and training an ANN based on the updated information. The NFC device operates similarly to the communications device, utilizing feedback from the NFC reader device to optimize communication performance through phase adjustments and neural network training. Overall, the patent focuses on enhancing communication reliability and efficiency in inductive coupling devices through dynamic phase optimization and neural network-based training methods.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
