Results 161 to 170 of about 11,140 (207)

Cortical alpha changes during visuospatial attention: a deep learning-enriched EEG analysis. [PDF]

Cereb Cortex
Magosso E, Borra D.
europepmc   +1 more source

Enhancing wireless communication systems through large intelligent surfaces: a performance analysis of LIS-assisted NOMA networks. [PDF]

Sci Rep
Bagadi K, Annepu V, Dhanamjayulu C, Challa NR, Mohammad F, Khan B.   +5 more
europepmc   +1 more source

Adaptive Segmented Aggregation and Rate Assignment Techniques for Flexible-Length Polar Codes. [PDF]

Entropy (Basel)
Saha S, Mahajan S, Adrat M, Gerstacker W.   +3 more
europepmc   +1 more source

Joint Iterative Decoding Design of Cooperative Downlink SCMA Systems. [PDF]

Entropy (Basel)
Cheng H, Zhang M, Su R.
europepmc   +1 more source

Intelligent Omni-Surface-Assisted Cooperative Hybrid Non-Orthogonal Multiple Access: Enhancing Spectral Efficiency Under Imperfect Successive Interference Cancellation and Hardware Distortions. [PDF]

Sensors (Basel)
John Kennedy HS, Kumaravelu VB.
europepmc   +1 more source

Optimized Generalized LDPC Convolutional Codes. [PDF]

Entropy (Basel)
Deng L, Tao K, Shi Z, Zhang Y, Shi Y, Wang J, Liu T, Wang Y.   +7 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Neural Successive Cancellation List Decoding of Polar Codes

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 2020
Neural Network Decoders (NNDs) have been recently considered and investigated as an alternative to the classical algorithms for decoding Polar Codes. In particular, a class of partitioned decoders has been proposed where modified Successive Cancellation (SC) or Belief Propagation (BP) algorithms exploit the neural network decoding of short sublocks ...
Negrini S., Tralli V.
openaire   +1 more source

Interleaved successive cancellation polar decoders

2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014
Polar codes are among the most promising error correction codes due to their ability to achieve the symmetric capacities of the binary-input discrete memoryless channels (B-DMCs). However, how to design successive cancellation (SC) decoders which can maximize the hardware utilization efficiency is still challenging due to the inherent serial nature of ...
Chuan Zhang, Keshab K. Parhi
openaire   +1 more source

Successive Cancellation Heap Polar Decoding

2016 IEEE Global Communications Conference (GLOBECOM), 2016
In this paper, the successive cancellation (SC) heap polar decoding scheme is firstly proposed to reduce the complexity. Unlike SC list decoder which keeps $L$ same length paths, SC heap decoding stores different length paths in a heap and always decodes the global optimal path in the root.
Huayi Zhou, Xiao Liang, Chuan Zhang, Shunqing Zhang, Xiaohu You   +4 more
openaire   +1 more source

Neural Successive Cancellation Decoding of Polar Codes

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018
Neural network (NN) based decoders have appeared as potential candidates to replace successive cancellation (SC) based and belief propagation (BP) decoders for polar codes, due to their one-shot-decoding property. Partitioned NN (PNN) decoder has provided a solution to make use of multiple NN decoders which are connected with BP decoding, with the ...
Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross   +2 more
openaire   +1 more source