Results 101 to 110 of about 3,104,277 (280)

Automatic modulation classification of digital communication signals

, 2001
In this project, automatic modulation recognition is reviewed. Simple modulation type recognizers are reviewed and presented. The classifications of lower signals, eg ASK2, ASK4, PSK2, PSK4, FSK4, FSK2, FSK4 are reviewed briefly in the beginning ...
Xu, Qijun.
core  

Automatic modulation classification for mimo systems using fourth-order cumulants

, 2012
Automatic classification of the modulation type of an unknown communication signal is a challenging task, with applications in both commercial and military contexts, such as spectrum surveillance, cognitive radio, and electronic warfare systems.
Octavia A. Dobre, Öner, Mustafa Mengüç, Michael S. Muhlhaus, Friedrich K. Jondral, Jondral, Friedrich K., Dobre, Octavia Adina, Jkel, Holger U., Menguc Oner, Holger U. Jkel, Mühlhaus, Michael S.   +9 more
core   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Automatic modulation classification: principles, algorithms and applications

, 2014
Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades.
Nandi, Asoke K, Zhu, Zhechen
core  

Retracted: An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Dual‐State Programmable Oxide Transistor for Time‐Based Cryptography

Advanced Materials, EarlyView.
A DUPOT enables independently tunable Vth and Isat depending on gate bias polarity, producing three‐dimensional dynamical behavior within a transfer characteristic. This behavior originates from charge trapping and oxygen‐ion migration in the HfO2 layer.
Huisu Noh, Min Gu Lee, Hwayoung Kim, Myeongchan Ko, Jungwan Noh, Taewook Go, Jingyao Yu, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +9 more
wiley   +1 more source

Explainable Deep Kernel Learning for Interpretable Automatic Modulation Classification

Computers
Modern wireless communication systems increasingly rely on Automatic Modulation Classification (AMC) to enhance reliability and adaptability, especially in the presence of severe signal degradation.
Carlos Enrique Mosquera-Trujillo, Juan Camilo Lugo-Rojas, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

A Multifunctional Ionograsper Enabling Ion‐Redistribution Proximity Sensing and Structural‐Reconfiguration‐Driven Bidirectional Actuation

Advanced Materials, EarlyView.
A solid‐state ionic actuator integrates sensing, actuation, and memory within one material. A brief UV pulse induces long‐lasting deformation via coupled network rearrangement, dehydration, and rehydration, while ionic redistribution enables self‐powered sensing, supporting multifunctional, energy‐efficient soft robotic functions without continuous ...
Yong Min Kim, Jin Han Kwon, Hyeon Woo Yang, Sungryong Kim, Gyeong Rok Lee, Hong Chul Moon   +5 more
wiley   +1 more source

A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross

IEEE Access
Automatic Modulation Classification (AMC) is a pivotal technology in various communication systems. In recent years, deep learning (DL) has been widely applied in AMC methods due to its powerful feature extraction capabilities.
Jianzheng Lin
doaj   +1 more source