Skip to content
  • HOME
  • MYTHESES
  • BLOG
  • AI ASSISTANT
  • GUIDE & TUTORIAL
    • English
    • Français
    • 日本語
    • 中文(简体)
    • 中文(繁體)
    • اللغة العربية
    • हिंदी
  • Feedback
  • Book Bag: 0 items (Full)
Advanced
  • Machine learning classificatio...
  • Cite this
  • Text this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Add to Book Bag Remove from Book Bag
  • Permanent link

QR Code

Machine learning classification of frequency-hopping spread spectrum signals in a multi-signal environment

Also available in printed version

Bibliographic Details
Main Author: Muhammad Turyalai Khan
Other Authors: Usman Ullah Sheikh, supervisor
Format: Doctoral thesis
Language:English
Published: Universiti Teknologi Malaysia 2025
Subjects:
Electrical engineering
Online Access:https://utmik.utm.my/handle/123456789/41103
Abstract Abstract here
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

https://utmik.utm.my/handle/123456789/41103

Similar Items

  • Detection and parameter estimation of frequency hopping spread spectrum signals in non-cooperative environment
    by: Abdulrahman Kanaa
    Published: (2025)
  • Multicarrier Frequency Hopping Spread Spectrum Techniques With Quasi-Cyclic Low Density Parity Check Codes Channel Coding
    by: Yahya, Abid
    Published: (2010)
  • Optimised time-frequency analysis for drone detection in a multi-signal environment
    by: Chia, Chun Choon
    Published: (2025)
  • Design And Development Of A Secure Wireless System Using Frequency Hopping Spread Spectrum [TK5103.2. A148 2007 f rb].
    by: Yahya, Abid
    Published: (2007)
  • High Frequency Signaling Analysis Of Inter-Chip Package Routing For Multi-Chip Package
    by: Yong, Khang Choong
    Published: (2013)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs