Results 61 to 70 of about 1,791,426 (298)

Comparative Study of Turbo Equalization Schemes using Convolutional, Convolutional Turbo, and Block-Turbo Codes

, 2002
Turbo equalizers have been shown to be successful in mitigating the effects of inter-symbol interference introduced by partial response modems and by dispersive channels for code rates of $R \le 1/2$.
Hamorsky, J., Yeap, B.L., Liew, T.H., Hanzo, L.   +3 more
core   +1 more source

Energetic Offset in Organic Solar Cells‐ Importance, Confusion and Outlook

Advanced Materials, EarlyView.
Energetic offsets in organic solar cells (OSCs) remain a subject of debate due to measurement‐ and lab‐dependent discrepancies. This Perspective clarifies the physical origins of these variations and identifies temperature‐dependent electro‐optical methods as a reliable approach to obtain consistent offset values.
Nakul Jain, Xian'e Li, Mats Fahlman, Olle Inganäs, Koen Vandewal, Feng Gao   +5 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Convolutional coding for code multiplexing of channels [PDF]

EPJ Web of Conferences
This paper explores the application of convolutional codes and their extensions in the context of binary channel code division. A novel method for channel division utilizing convolutional coding is presented, alongside a comparative analysis with block ...
Rabin Alexey, Rabin Sergei, Ovchinnikov Andrey   +2 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Convolutional Codes of Goppa Type [PDF]

Applicable Algebra in Engineering, Communication and Computing, 2004
A new kind of Convolutional Codes generalizing Goppa Codes is proposed. This provides a systematic method for constructing convolutional codes with prefixed properties. In particular, examples of Maximum-Distance Separable (MDS) convolutional codes are obtained.
Domínguez Pérez, José Ángel, Muñoz Porras, José María, Serrano Sotelo, Gloria   +2 more
openaire   +5 more sources

Concatenated Space Time Block Codes and TCM, Turbo TCM Convolutional as well as Turbo Codes

, 2000
Space-time block codes provide substantial diversity advantages for multiple transmit antenna systems at a low decoding complexity. In this paper, we concatenate space-time codes with Convolutional Codes (CC), Turbo Convolutional codes (TC), Turbo BCH ...
Pliquett, J., Yeap, B.L., Liew, T.H., Yang, L-L., Hanzo, L.   +4 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

On Doubly-Cyclic Convolutional Codes [PDF]

Applicable Algebra in Engineering, Communication and Computing, 2006
Cyclicity of a convolutional code (CC) is relying on a nontrivial automorphism of the algebra F[x]/(x^n-1), where F is a finite field. If this automorphism itself has certain specific cyclicity properties one is lead to the class of doubly-cyclic CC's. Within this large class Reed-Solomon and BCH convolutional codes can be defined.
Gluesing-Luerssen, H, Schmale, W
openaire   +4 more sources

Improving source code suggestion with code embedding and enhanced convolutional long short‐term memory

IET Software, 2021
Source code suggestion is the utmost helpful feature in the integrated development environments that helps to quicken software development by suggesting the next possible source code tokens.
Yasir Hussain, Zhiqiu Huang, Yu Zhou
doaj   +1 more source