Patent classifications
H03M13/01
Smart decoder
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.
Smart decoder
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.
Voice quality monitoring system
This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides methods, computer program products and devices for reducing a prediction error of the voice quality estimation by considering forward error correction of lost voice packets.
Voice quality monitoring system
This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides methods, computer program products and devices for reducing a prediction error of the voice quality estimation by considering forward error correction of lost voice packets.
Forward error correction (FEC) emulator
Embodiments relate to the emulation of the effect of Forward Error Correction (FEC) codes, e.g., GF.sup.10 Reed Solomon (RS) FEC codes, on the bit error ratio (BER) of received Pseudo-Random Binary Sequences (PRBS) patterns. In particular, embodiments group errors into RS-FEC symbols and codewords in order to determine if the errors are correctable. By emulating the error correction capabilities of FEC codes in order to determine which errors are correctable by the code, embodiments afford a more accurate representation of the post-FEC BER of RS FEC codes from links carrying PRBS patterns. This FEC code emulation provides error correction statistics, for stand-alone use or for error correction in connection with Bit Error Rate Testers (BERTs).
DISTRIBUTED ERROR DETECTION AND CORRECTION WITH HAMMING CODE HANDOFF
A device includes a data path, a first interface connected to the data path and configured to receive a request from a processor package to write a data value to a memory address, and a controller connected to the data path and configured to receive the request to write the data value to the memory address and to calculate a Hamming code of the data value. The controller is configured to transmit the data value and the Hamming code on the data path. The device includes an external memory interleave connected to the data path. The external memory interleave is configured to receive the data value and calculate a test Hamming code of the data value and to determine whether to send the data value to an external memory interface to be written to the memory address based on a comparison of the Hamming code and the test Hamming code.
Data interpretation with modulation error ratio analysis
Methods and systems for analyzing data are disclosed. An example method can comprise receiving a first data signal, decoding the first data signal, determining a second data signal based on the decoded first data signal, and determining a modulation error ratio based on a difference between the first data signal and the second data signal.
DELAYED SNOOP FOR IMPROVED MULTI-PROCESS FALSE SHARING PARALLEL THREAD PERFORMANCE
Techniques for maintaining cache coherency comprising storing data blocks associated with a main process in a cache line of a main cache memory, storing a first local copy of the data blocks in a first local cache memory of a first processor, storing a second local copy of the set of data blocks in a second local cache memory of a second processor executing a first child process of the main process to generate first output data, writing the first output data to the first data block of the first local copy as a write through, writing the first output data to the first data block of the main cache memory as a part of the write through, transmitting an invalidate request to the second local cache memory, marking the second local copy of the set of data blocks as delayed, and transmitting an acknowledgment to the invalidate request.
Stall mitigation in iterative decoders
Methods, systems, and apparatuses detect and mitigate a stall condition in an iterative decoder. A codeword is received and one or more of the plurality of bits in the codeword are flipped by a bit flipping decoder in each of a plurality of error correction iterations using a first plurality of bit flipping rules. In response to detecting a stall condition in the plurality of error correction iterations, a second plurality of bit flipping rules is selected. In each of one or more subsequent error correction iterations, the bit flipping decoder flips one or more of the plurality of bits in the codeword using the second plurality of bit flipping rules. The second plurality of bit flipping rules differs from the first plurality of bit flipping rules.
STALL MITIGATION IN ITERATIVE DECODERS
Methods, systems, and apparatuses detect and mitigate a stall condition in an iterative decoder. A codeword is received and one or more of the plurality of bits in the codeword are flipped by a bit flipping decoder in each of a plurality of error correction iterations using a first plurality of bit flipping rules. In response to detecting a stall condition in the plurality of error correction iterations, a second plurality of bit flipping rules is selected. In each of one or more subsequent error correction iterations, the bit flipping decoder flips one or more of the plurality of bits in the codeword using the second plurality of bit flipping rules. The second plurality of bit flipping rules differs from the first plurality of bit flipping rules.