Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Sajjad Ahmed Ghauri"'
1
Akademický článek
Capacity Optimization of Next-Generation UAV Communication Involving Non-Orthogonal Multiple Access
Autor: Mubashar Sarfraz, Muhammad Farhan Sohail, Sheraz Alam, Muhammad Javvad ur Rehman, Sajjad Ahmed Ghauri, Khaled Rabie, Hasan Abbas, Shuja Ansari
Publikováno v: Drones, Vol 6, Iss 9, p 234 (2022)
Unmanned air vehicle communication (UAV) systems have recently emerged as a quick, low-cost, and adaptable solution to numerous challenges in the next-generation wireless network. In particular, UAV systems have shown to be very useful in wireless co
Externí odkaz: https://doaj.org/article/0632dd79b4fa493892fb45652c9997ea
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2
Akademický článek
KNN BASED CLASSIFICATION OF DIGITAL MODULATED SIGNALS
Autor: Sajjad Ahmed Ghauri
Publikováno v: International Islamic University Malaysia Engineering Journal, Vol 17, Iss 2 (2016)
Demodulation process without the knowledge of modulation scheme requires Automatic Modulation Classification (AMC). When receiver has limited information about received signal then AMC become essential process. AMC finds important place in the field
Externí odkaz: https://doaj.org/article/593615c9776d439c9b90ee2ce48f7805
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3
Akademický článek
A Novel Modulation Classification Approach Using Gabor Filter Network
Autor: Sajjad Ahmed Ghauri, Ijaz Mansoor Qureshi, Tanveer Ahmed Cheema, Aqdas Naveed Malik
Publikováno v: The Scientific World Journal, Vol 2014 (2014)
A Gabor filter network based approach is used for feature extraction and classification of digital modulated signals by adaptively tuning the parameters of Gabor filter network. Modulation classification of digitally modulated signals is done under t
Externí odkaz: https://doaj.org/article/91b48b68bff14a689d379f7868214a3d
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4
CSA-Assisted Gabor Features for Automatic Modulation Classification
Autor: Mubashar Sarfraz, Sheraz Alam, Syed Ihtesham Hussain Shah, Sajjad Ahmed Ghauri, Antonio Coronato
Publikováno v: Circuits, systems, and signal processing 41 (2021): 1660–1682. doi:10.1007/s00034-021-01854-y
info:cnr-pdr/source/autori:Shah, Syed Ihtesham Hussain; Coronato, Antonio; Ghauri, Sajjad A.; Alam, Sheraz; Sarfraz, Mubashar/titolo:CSA-Assisted Gabor Features for Automatic Modulation Classification/doi:10.1007%2Fs00034-021-01854-y/rivista:Circuits, systems, and signal processing/anno:2021/pagina_da:1660/pagina_a:1682/intervallo_pagine:1660–1682/volume:41
Automatic modulation classification (AMC) is a process of automatic detection of modulation format imposed on the received signal with no prior information (carrier, signal power, phase offset) of the signal, also known as blind classification. In th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25dff0f5d17fdf600252d5f59ccc9d31
https://doi.org/10.1007/s00034-021-01854-y
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5
Optimized Polynomial Classifier for Classification of M-PSK Signals
Autor: Saqib Masood, Mubashar Sarfraz, Nooh Bany Muhammad, Sajjad Ahmed Ghauri
Publikováno v: Mathematical Modelling of Engineering Problems. 8:575-582
Automatic modulation classification (AMC) is the emerging research area for military and civil applications. In this paper, M-PSK signals are classified using the optimized polynomial classifier. The distinct features i.e., higher order cumulants
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ccda6849c1d3b5ba59d848f2bb195f91
https://doi.org/10.18280/mmep.080410
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8
Joint power and channel allocation scheme for IEEE 802.11af based smart grid communication network
Autor: Sajjad Ahmed Ghauri, Mubashar Sarfraz, Naveed Aqdas, Sheraz Alam, Ijaz Mansoor Qureshi
Publikováno v: Future Generation Computer Systems. 95:694-712
To reap the full potentials of Smart grid (SG), a reliable, resourceful, efficient and cost-effective communication network is inevitable. The crucial need to transmit a significant amount of smart grid application data in an efficient spectral manne
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29662d635fc48ed112a5cd98d5773d8e
https://doi.org/10.1016/j.future.2019.01.027
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9
A Novel Hybrid Cuckoo Search- Extreme Learning Machine Approach for Modulation Classification
Autor: Syed Ihtesham Hussain Shah, Faraz Ahmed Ansari, Asad Hussain, Sajjad Ahmed Ghauri, Sheraz Alam
Publikováno v: IEEE Access, Vol 7, Pp 90525-90537 (2019)
This paper presents a novel hybrid extreme learning machine (ELM) with cuckoo search algorithm (CSA) for the classification purposes of the digitally modulated signals, such as phase shift keying (PSK), frequency shift keying (FSK), and quadrature am
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b904899b6b5695e641c7eb309d3eda8
https://ieeexplore.ieee.org/document/8754798/
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10
Classification of M-QAM and M-PSK signals using genetic programming (GP)
Autor: Sheraz Alam, Sajjad Ahmed Ghauri, Asad Hussain, M. F. Sohail, Ijaz Mansoor Qureshi
Publikováno v: Neural Computing and Applications. 31:6141-6149
With the popularity of software-defined radio and cognitive radio-technologies in wireless communication, radio frequency devices have to adapt to changing conditions and adjust its transmitting parameters such as transmitting power, operating freque
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87c6958ed9bbcbb8951fbf4375b650bd
https://doi.org/10.1007/s00521-018-3433-1
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