Results 181 to 190 of about 12,863 (308)
Binary Diversity for Non-Binary LDPC Codes over the Rayleigh Channel
Valentin Savin, David Declercq
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Systematic Study of PDMS Optical Waveguides for Pressure Sensing Using Design of Experiments
A response surface methodology was used to systematically evaluate the impact of mix ratio and cure conditions on PDMS optical waveguide properties for pressure sensing. Mix ratio significantly influenced compression sensitivity, compressive modulus, and propagation loss, while cure temperature primarily affected refractive index.
Camila A. Zimmermann, Bora Ung
wiley +1 more source
Low complexity hybrid algorithm for improving PAPR BER and PSD in OTFS under diverse channel conditions. [PDF]
Kumar A +3 more
europepmc +1 more source
Quaternary DS-SSMA Communications Employing Generalized Detector over Rayleigh Fading Channels
Vyacheslav Tuzlukov
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Differential Craton Destruction Controlled by Fossil Structures in the Central North China Craton
Abstract Craton evolution plays a fundamental role in stabilizing the continental lithosphere and the long‐term evolution of Earth's surface environment. The Shanxi Rift Zone (SRZ) within the North China Craton marks an ongoing craton destruction. Detailed lithospheric structure is essential to explain craton destruction.
Cong Ji +4 more
wiley +1 more source
Abstract In situ measurements of stratospheric aerosol are the only measurements that provide sufficient detail to determine aerosol number, size, surface area, volume/mass, and effective radius; however, these measurements are limited in space and time.
Terry Deshler, Lars E. Kalnajs
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RNN-Bi-LSTM spectrum sensing algorithm for NOMA waveform with diverse channel conditions. [PDF]
Kumar A, Nanthaamornphong A, Masud M.
europepmc +1 more source
Closed-Form Expressions for Secrecy Capacity over Correlated Rayleigh Fading Channels [PDF]
Xiaojun Sun, Chunming Zhao, Ming Jiang
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This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

