Sökning: "stochastic decoding"
Hittade 4 uppsatser innehållade orden stochastic decoding.
1. Enhancing the Decoding of Short LDPC Codes with Stochastic Sequences
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Low-Density Parity-Check (LDPC) codes are one of the most popular codes used in nowadays’ communication due to their high coding efficiency at low decoding complexity. With these characteristics, LDPC codes are suitable for high-speed information transmission systems. LÄS MER
2. Practical Aspects of Reduced Complexity LDPC Decoding using Forced Convergence
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : This thesis is an extension to the previous work done at Department of EIT in investigating the complexity reduction of LDPC decoding using the stochastic approximation method to improve the energy efficiency of energy-limited applica- tions, such as in mobile phones. The research carried out in this thesis investigates the complexity and conver- gence results of adaptive performance control algorithm (PCAA) that changes the forced convergence threshold in OMS LDPC FC decoding algorithm. LÄS MER
3. Measurement Based Vehicle-to-Vehicle Multi-link Channel Modeling and Relaying Performance
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : There has been intense research in vehicular communication in order to provide reliable low-latency vehicular communication links for developing intelligent transportation system (ITS). As one of the important properties, vehicle-to-vehicle (V2V) communication is learned to be inherently non-stationary due to the high mobility of both transmitter (TX) and receiver (RX). LÄS MER
4. Unsupervised hidden Markov model for automatic analysis of expressed sequence tags
Master-uppsats, BioinformatikSammanfattning : This thesis provides an in-depth analyze of expressed sequence tags (EST) that represent pieces of eukaryotic mRNA by using unsupervised hidden Markov model (HMM). ESTs are short nucleotide sequences that are used primarily for rapid identificationof new genes with potential coding regions (CDS). LÄS MER