Results 21 to 30 of about 97,815 (271)

Automation modulation recognition of the communication signals based on deep learning

Dianzi Jishu Yingyong, 2019
Automatic modulation recognition of the multi-system communication signals based on feature extraction and pattern recognition is an important research topic in the field of software radio.
Yao Yuchen, Peng Hu
doaj   +1 more source

Attentional modulation of orthographic neighborhood effects during reading: Evidence from event-related brain potentials in a psychological refractory period paradigm [PDF]

, 2018
It is often assumed that word reading proceeds automatically. Here, we tested this assumption by recording event-related potentials during a psychological refractory period (PRP) paradigm, requiring lexical decisions about written words. Specifically, we
Conrad, Markus, Paschke-Goldt, Jörg, Rabovsky, Milena, Sommer, Werner, Álvarez, Carlos J.   +4 more
core   +1 more source

Speech and crosstalk detection in multichannel audio [PDF]

, 2005
The analysis of scenarios in which a number of microphones record the activity of speakers, such as in a round-table meeting, presents a number of computational challenges.
Brown, G.J., Renals, S., Wan, V., Wrigley, S.N.   +3 more
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Temporal precedence of emotion over attention modulations in the lateral amygdala: Intracranial ERP evidence from a patient with temporal lobe epilepsy [PDF]

, 2010
Previous fMRI studies have reported mixed evidence for the influence of selective attention on amygdala responses to emotional stimuli, with some studies showing "automatic" emotional effects to threat-related stimuli without attention (or even without ...
Pourtois, Gilles, Seeck, M, Spinelli, L, Vuilleumier, P   +3 more
core   +2 more sources

An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks

Applied Sciences, 2019
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in ...
Mingxuan Li, Ou Li, Guangyi Liu, Ce Zhang   +3 more
doaj   +1 more source

AUTOMATIC RECOGNITION OF BOTH INTER AND INTRA CLASSES OF DIGITAL MODULATED SIGNALS USING ARTIFICIAL NEURAL NETWORK [PDF]

Journal of Engineering Science and Technology, 2014
In radio communication systems, signal modulation format recognition is a significant characteristic used in radio signal monitoring and identification. Over the past few decades, modulation formats have become increasingly complex, which has led to the ...
JIDE JULIUS POPOOLA
doaj  

Deep Learning for Robust Automatic Modulation Recognition Method for IoT Applications

IEEE Access, 2020
In the scenarios of non-cooperative wireless communications, automatic modulation recognition (AMR) is an indispensable algorithm to recognize various types of signal modulations before demodulation in many internet of things applications.
Tingping Zhang, Cong Shuai, Yaru Zhou
doaj   +1 more source

A Survey of Applications of Deep Learning in Radio Signal Modulation Recognition

Applied Sciences, 2022
With the continuous development of communication technology, the wireless communication environment becomes more and more complex with various intentional and unintentional signals. Radio signals are modulated in different ways.
Tiange Wang, Guangsong Yang, Penghui Chen, Zhenghua Xu, Mengxi Jiang, Qiubo Ye   +5 more
doaj   +1 more source

The listening talker: A review of human and algorithmic context-induced modifications of speech [PDF]

, 2014
International audienceSpeech output technology is finding widespread application, including in scenarios where intelligibility might be compromised - at least for some listeners - by adverse conditions. Unlike most current algorithms, talkers continually
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Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription [PDF]

, 2011
In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression ...
Emmanouil Benetos, Simon Dixon, Student Member   +2 more
core   +3 more sources