Smart decoder
AssigneeSamsung Electronics Co., Ltd.
InventorsAnusha Gunturu, Ashok Kumar Reddy Chavva, Avani Agrawal, Saikrishna Pedamalli, Satya Kumar Vankayala, Anshuman Nigam, Mohan Rao Naga Santha Goli
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Abstract
Embodiments herein provide a method for predicting iterations for decoding an encoded data at an electronic device. The method includes: receiving, by the electronic device, the encoded data; detecting, by the electronic device, signal parameters associated with the encoded data; predicting, by the electronic device, one of a cyclic redundancy check (CRC) failure, CRC success, and a CRC uncertainty in iterations for decoding the encoded data based on the signal parameters using a Neural Network (NN) model.
Claims20
An electronic device configured to predict iterations for decoding an encoded data, comprising:
- a memory;
- a processor;
- a decoder;
- and
- an iteration controller coupled to the memory and the processor, configured to:
- receive the encoded data;
- detect at least one signal parameter associated with the encoded data;
- and
- predict one of a Cyclic Redundancy Check (CRC) failure, a CRC success, and a CRC uncertainty in iterations for decoding the encoded data based on the at least one signal parameter using a Neural Network (NN) model.
A method for predicting iterations for decoding encoded data in an electronic device, comprising:
- receiving by the electronic device, the encoded data;
- detecting, by the electronic device, at least one signal parameter associated with the encoded data;
- and
- predicting, by the electronic device, one of a Cyclic Redundancy Check (CRC) failure, a CRC success, and a CRC uncertainty in iterations for decoding the encoding data based on the at least one signal parameter using a Neural Network (NN) model.
Dependencies are inferred from the claim text.