IEEE

Parameter Identification for Recursive Systematic Convolutional Codes Using Hybrid Polak-Ribière-Polyak and Hestenes-Stiefel Conjugate Gradient

Abstract: In non-cooperative communications, receivers lack prior channel coding knowledge, making error correction code recognition critical. Recursive systematic ...
IEEE

Practical Design and Decoding of Parallel Concatenated Structure for Systematic Polar Codes

Abstract: In this paper, a parallel concatenated structure is proposed to improve the performance of polar codes in finite length in which multiblocks systematic polar codes (SPC) and recursive ...
C&EN

Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks

Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science ...
Design-Reuse

DVB-RCS2 Turbo Decoder and Encoder IP Core Available For Integration From Global IP Core

February 6, 2023 - Global IP Core Sales - The new DVB-RCS2 Turbo Encoder and Decoder IP Core is on the transmitter side, the turbo-phi encoder architecture is based on a parallel concatenation of two ...
Scientific Research Publishing

Low-Density Parity-Check Codes: Research Status and Development Direction ()

Engineering Research Center of Ministry of Education for Financial Computing and Digital Engineering, Renmin University of China, Beijing, China. LDPC code is a ...
PNAS

NeuronMotif: Deciphering cis-regulatory codes by layer-wise demixing of deep neural networks

Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...
Frontiers

BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework

Neuromarketing is a subfield of marketing research that investigates customers' cognitive and emotive responses to promoted products or services. It is an emerging multidisciplinary area that brings ...
Frontiers

Predicting Ischemic Stroke Outcome Using Deep Learning Approaches

Predicting functional outcomes after an Ischemic Stroke (IS) is highly valuable for patients and desirable for physicians. This facilitates physicians to set reasonable goals for patients and ...