Micron Technology has patented a method for data inversion in memory devices transmitting multi-symbol signals with more than two physical levels. The method involves inverting data symbols by changing physical levels, enabling efficient signal transmission. GlobalData’s report on Micron Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Micron Technology, 3D memory devices was a key innovation area identified from patents. Micron Technology's grant share as of May 2024 was 48%. Grant share is based on the ratio of number of grants to total number of patents.
Data inversion techniques for multi-symbol signals in memory devices
A recently granted patent (Publication Number: US12015476B2) discloses a method for transmitting data symbols in a signal modulated with a modulation scheme that includes at least four physical levels. The method involves identifying data symbols, determining to invert one or more of them, and changing the physical level of the inverted symbols before transmission. By inverting data symbols over a signal axis between intermediate physical levels, the method aims to enhance the transmission process. Additionally, the patent includes provisions for indicating the inversion of data symbols and mapping each symbol to a physical level for efficient transmission.
Furthermore, the patent describes a memory device that incorporates the modulation scheme with at least four logic levels. The device includes a receiver, controllers, and a decoder to manage the inversion of data symbols based on indications in the signal. The decoder specifically focuses on re-inverting data symbols by altering the most significant bit. The memory device's controllers are designed to map physical levels with logic levels and determine the inversion of data symbols based on various parameters within the signal. Overall, the patent aims to optimize data symbol transmission in signals modulated with complex modulation schemes, enhancing efficiency and reliability in data communication systems.
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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.
