Qualcomm had 15 patents in big data during Q2 2024. Qualcomm Inc’s patents in Q2 2024 focus on techniques for data processing, video coding, and bandwidth compression. These patents include methods for adaptive dither and truncation error signaling, processing data using symmetrical processing engines, coding video data with reduced bit length input variables, refining motion vectors for video subblocks, and decompressing data using SIMD processors. These innovations aim to improve efficiency and quality in data processing and video coding applications. GlobalData’s report on Qualcomm gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Qualcomm had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Truncation error signaling and adaptive dither for lossy bandwidth compression (Patent ID: US20240205433A1)
Qualcomm Inc. has filed a patent for a system that involves truncation error signaling and adaptive dither for lossy bandwidth compression. The system includes a processor that performs a truncation process for data associated with display, image, or data processing, resulting in truncated data. The processor computes a set of truncation error values, generates residual samples, and creates a bitstream based on the residual samples and truncation error values.
The patent also includes claims for an apparatus for data processing that involves transmitting or storing the generated bitstream, performing bit shift operations based on quantization parameters, computing average truncation error values, and encoding residual samples. Additionally, the apparatus can obtain a bitstream, parse residual samples and error values, and reconstruct truncated data. Furthermore, the apparatus can perform a dither process based on truncation error values to reconstruct the data, determine dither strength parameters from a look-up table, and compute dither matrices. The system is designed for wireless communication devices and involves antenna or transceiver coupling for data transmission and reception.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
