Results 171 to 180 of about 167,226 (306)

On Channel Estimation of OFDM-BPSK and -QPSK over Generalized Alpha-Mu Fading Distribution

, 2010
Neetu Sood, Ajay K. Sharma, Moin Uddin
openalex   +2 more sources

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Activity Detection and Channel Estimation Based on Correlated Hybrid Message Passing for Grant-Free Massive Random Access. [PDF]

Entropy (Basel)
Liu X, Gong X, Fu X.
europepmc   +1 more source

Channel estimation based on superimposed pilot and weighted averaging. [PDF]

Sci Rep, 2022
Wu Q, Zhou X, Wang C, Qin Z.
europepmc   +1 more source

MnI‐Functionalized Covalent Organic Framework as Efficient Electrocatalyst for CO2 Reduction in a Catholyte‐Free Zero‐Gap Electrolyzer

Advanced Functional Materials, EarlyView.
This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies, Marcos Eduardo G. Carmo, Gonçalves J. Marrenjo, Stephan Reuther, Patrick Ganswindt, Antonio Otavio T. Patrocinio, Thomas Bein, Osmando F. Lopes, Jenny Schneider   +8 more
wiley   +1 more source

Residual learning based convolution neural network for improved channel estimation for VehA channel. [PDF]

Sci Rep
Khichar S, Meng Y, Sharma A, Saadi M, Parniarifard A, Chaudhary S.   +5 more
europepmc   +1 more source

Accelerated PARAFAC-Based Channel Estimation for Reconfigurable Intelligent Surface-Assisted MISO Systems. [PDF]

Sensors (Basel), 2022
Xiao H, Deng H, Guo A, Qian Y, Peng C, Zhang Y.   +5 more
europepmc   +1 more source

Employing sparsity in the joint estimation of sound source and acoustic channel parameters for natural sounds

, 2011
Travis M. Doll, Youngmoo E. Kim, Youngmoo Kim   +2 more
openalex   +1 more source

Rational Fine‐Tuning of MOF Pore Metrics: Enhanced SO2 Capture and Sensing with Optimal Multi‐Site Interactions

Advanced Functional Materials, EarlyView.
A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing, Abdulrahman Mohabbat, István Boldog, Jens Möllmer, Marcus Lange, Yulyan Haiduk, Tobias Heinen, Vladimir Pankov, Oliver Weingart, Christoph Janiak   +9 more
wiley   +1 more source

Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications. [PDF]

Sensors (Basel)
Yang J, Guo Y, Guo X, Wang P.
europepmc   +1 more source