Quantum has patented a method for product decoding in data storage systems. The process involves multiple decoding iterations using two decoders, with error information analyzed by an artificial intelligence system to optimize decoding performance. The fully decoded data is output based on the iterations’ performance. GlobalData’s report on Quantum 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 Quantum, MPEG media transport processing was a key innovation area identified from patents. Quantum's grant share as of May 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Method for product decoding in data storage system
A recently granted patent (Publication Number: US11990920B2) outlines a method for product decoding within a data storage system. The method involves receiving data to be decoded within a first decoder and performing a series of decoding iterations using both a first and second decoder. These iterations include decoding the data with the first decoder, sending the decoded data to the second decoder, receiving error information from the first decoder via an artificial intelligence system, selecting a second decoder operational mode based on this error information, and finally outputting fully decoded data based on the performance of these iterations. The method also involves updating the operational mode of the first decoder for each iteration and utilizing an artificial intelligence system to determine the operational modes for both decoders.
Furthermore, the patent also describes a data storage system that incorporates the product decoding system outlined in the method claims. This system includes a first decoder operating at a first operational mode, a second decoder operating at a second operational mode, and an artificial intelligence system that receives error information from the first decoder. The system performs multiple decoding iterations, with the second decoder's operational mode being selected based on error information received by the artificial intelligence system. Additionally, the system includes a detector to process data before decoding, and the artificial intelligence system is described as a joint deep neural network. This innovative approach to product decoding within a data storage system aims to enhance the efficiency and accuracy of decoding processes, ultimately leading to improved data storage capabilities.
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