Gürültü önleyici akustik malzemelerin performans düzeylerinin incelenmesi

HM Öz, E Köse - Avrupa Bilim ve Teknoloji Dergisi, 2020 - dergipark.org.tr
Doğal ve yapay birçok ortamda gürültü ile karşılaşmak kaçınılmazdır. İş Sağlığı ve Güvenliği
Yönetlmeliğinde de belirtildiği gibi 85dB (desibel) üzeri ses ve gürültüyle karşılaşmak insan …

[PDF][PDF] Deep networks for equalization in communications

L Brink, A Sahai, J Wawrzynek - Master's thesis, University of …, 2018 - eecs.berkeley.edu
Signal processing has long relied on well-defined, structured processes and protocols to
function. However, in order to move towards more robust and adaptive systems, we will …

Investigation of the performance of multi-input multi-output detectors based on deep learning in non-Gaussian environments.

R Monsefi, GA Hodtani - International Journal of Electrical …, 2023 - search.ebscohost.com
The next generation of wireless cellular communication networks must be energy efficient,
extremely reliable, and have low latency, leading to the necessity of using algorithms based …

Deep learning decoder for MIMO communications with impulsive noise

O Delgado, F Labeau - 2020 IEEE 17th Annual Consumer …, 2020 - ieeexplore.ieee.org
In this paper we consider signal detection in multiple-input-multiple-output (MIMO) systems
with an impulsive noise channel. The existing, near optimal, sphere decoder (SD) achieves …

Deep learning for IoT communications: Invited presentation

WL Thompson, MF Talley - 2019 53rd Annual Conference on …, 2019 - ieeexplore.ieee.org
In recent years there has been a rapid evolution in research in the technology known as the
Internet of Things or IoT. Consequently, this development has caused an increase in …

Low Noise and Complexity Deep Learning Decoder for MIMO in image transmission for health System

WM MOHAMMED, ON UÇAN - 2024 - researchsquare.com
The signals detections in MIMOs system under different noise channels is major challenges
for researchers in this time. Hence, in this paper the deep learning (DL) techniques was …

[PDF][PDF] Deep Learning for Communication Systems

M Yıldırım, R Sokullu, S Pehlivan - European Journal of Science and …, 2020 - academia.edu
Deep learning has become the most successful learning method in machine learning. While
deep learning provides a clear advantage over other machine learning methods, especially …

Haberleşme Sistemlerinde Derin Öğrenme

M Yıldırım, Rİ Sokullu, S Pehlivan - Avrupa Bilim ve Teknoloji Dergisi - dergipark.org.tr
Deep learning has become the most successful learning method in machine learning. While
deep learning provides a clear advantage over other machine learning methods, especially …