Results 31 to 40 of about 823 (198)
Advanced Electromagnetics, 2019 In this paper, we discuss and analyze the effect of error propagation on the performance polar codes decoded using the successive cancellation algorithm.
O. Gazi, A. A. Andi
doaj +1 more source
An Area-Efficient Hybrid Polar Decoder With Pipelined Architecture
IEEE Access, 2020 As the first kind of capacity-achieving forward error correction (FEC) codes, polar codes have attracted much research interest recently. Compared with traditional FEC codes, polar codes show better error correction performance when successive ...
Yu Wang +4 more
doaj +1 more source
LLR-Based Successive Cancellation List Decoding of Polar Codes [PDF]
IEEE Transactions on Signal Processing, 2014 We show that successive cancellation list decoding can be formulated exclusively using log-likelihood ratios. In addition to numerical stability, the log-likelihood ratio based formulation has useful properties which simplify the sorting step involved in successive cancellation list decoding.
Alexios Balatsoukas-Stimming +2 more
openaire +2 more sources
Chained successive cancellation decoding of the extended Golay code [PDF]
2018 Iran Workshop on Communication and Information Theory (IWCIT), 2018 The extended Golay code is shown to be representable as a chained polar subcode. This enables its decoding with the successive cancellation algorithm and its stack generalization. The decoder can be further simplified by employing fast Hadamard transform. The complexity of the obtained algorithm is comparable with that of the Vardy algorithm.
openaire +2 more sources
A New Specialized Node for Optimizing Decoding by Fast-Simplified Successive Cancellation of Polar Codes [PDF]
EPJ Web of ConferencesError-correction codes ensure communication reliability, a critical requirement in modern wireless systems. Among these, polar codes, adopted in the fifth generation (5G) mobile network for channel control, achieve capacity via successive cancellation ...
Lamrini Mohamed +3 more
doaj +1 more source
Multiple Folding for Successive Cancelation Decoding of Polar Codes
IEEE Wireless Communications Letters, 2014 Polar coding is known as the first provably capacity-achieving coding scheme under low-complexity suboptimal successive cancelation decoding (SCD). The large error-correction capability of finite-length polar codes is mostly achieved with relatively long codes.
Sinan Kahraman +2 more
openaire +2 more sources
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Advanced Materials Technologies, EarlyView.Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
Adaptive channel decoding method for polar codes
Shenzhen Daxue xuebao. Ligong ban, 2022 The polar code is a channel coding technology which can reach the Shannon limit in theory and has the advantage of low coding and decoding complexity. It is now one of the channel coding solutions in 5G communication.
YE Maolin +3 more
doaj +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source