Results 101 to 110 of about 62,799 (214)

Performance of module-type Viterbi decoder for digital subscriber loops

, 2019
In this paper, we discuss the performance and computational complexity of module-type Viterbi decoder (MVD) for high-speed digital transmission applications.
Kang, KM, Im, GH
core  

Development of Viterbi decoder in VHDL

, 2003
This reprt briefly introduces the theory of Viterbi algorithm for both hard decision and soft decision decoding and mainly focuses on the design and implementation of the soft decision Viterbi decoder by using VHDL, one of the most popular register ...
Liu, Jun.
core  

State metric compression techniques for turbo decoder architectures [PDF]

, 2011
Maurizio Martina, Masera, Guido, Martina, Maurizio, Guido Masera   +3 more
core   +1 more source

Low power ACS unit design for the Viterbi decoder

, 1999
In this paper, we address the issues of designing low power VLSI implementation of the Viterbi Decoder. We propose a new VLSI architecture for carrying out the Add-Compare-Select (ACS) operation for the Viterbi decoder which can reduce the complexity of ...
Tsui, Chi ying, Cheng, Roger S.K., Ling, Curtis   +2 more
core  

On a Viterbi decoder design for low power dissipation

, 1999
Convolutinal coding is a coding scheme often employed in deep space communications and recently in digital wireless communications. Viterbi decoders are used to decode convolutional codes.
Ranpara, Samirkumar Dhirajlal
core  

BiasFormer: Structured Posterior-Guided Transformer for Temporal Action Segmentation. [PDF]

Sensors (Basel)
Zhou D, Shi Z, Wang H, Yang H, Yang M, Yu C.   +5 more
europepmc   +1 more source

PRED-TMSdeep: Prediction of Transmembrane Topology and Signal Peptides Using Deep Learning. [PDF]

Biology (Basel)
Moschos GA, Tsirigos KD, Tamposis IA, Bagos PG.   +3 more
europepmc   +1 more source

Exploiting Phase Memory in Multicarrier Waveforms for Robust Underwater Acoustic Communication. [PDF]

Sensors (Basel)
Tasadduq I, Murad M, Felemban E.
europepmc   +1 more source

Uncertainty-aware joint modeling for Sanskrit compound splitting and segmentation. [PDF]

Front Artif Intell
Ali I, Lo Presti L, La Cascia M, Spano' I.   +3 more
europepmc   +1 more source

Pseudo-RGB Slice Stacking in 2D ResUNet for High-Sensitivity Multiple Sclerosis Lesion Segmentation. [PDF]

Diagnostics (Basel)
Desai D, Gangrade J, Gangrade S, Gharbi A, Daadaa Y, Ben Noureddine D.   +5 more
europepmc   +1 more source