M
Michael J. Medley
Researcher at Air Force Research Laboratory
Publications - 85
Citations - 1221
Michael J. Medley is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Spread spectrum & Cognitive radio. The author has an hindex of 19, co-authored 80 publications receiving 1109 citations. Previous affiliations of Michael J. Medley include State University of New York Polytechnic Institute & State University of New York System.
Papers
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Journal ArticleDOI
Cross-Layer Routing and Dynamic Spectrum Allocation in Cognitive Radio Ad Hoc Networks
TL;DR: A cross-layer opportunistic spectrum access and dynamic routing algorithm for cognitive radio networks, which is called the routing and dynamic spectrum-allocation (ROSA) algorithm, which aims to maximize the network throughput by performing joint routing, dynamic spectrum allocation, scheduling, and transmit power control.
Proceedings ArticleDOI
ROSA: distributed joint routing and dynamic spectrum allocation in cognitive radio ad hoc networks
TL;DR: A cross-layer opportunistic spectrum access and dynamic routing algorithm for cognitive radio networks, called ROSA (ROuting and Spectrum Allocation algorithm), which dynamically allocates spectrum resources to maximize the capacity of links without generating harmful interference to other users while guaranteeing bounded BER for the receiver.
Journal ArticleDOI
Subspace Direction Finding With an Auxiliary-Vector Basis
TL;DR: A new subspace direction-of-arrival (DOA) estimation procedure that utilizes a noneigenvector basis is developed, carried out by a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm.
Journal ArticleDOI
Optimal Signature Design for Spread-Spectrum Steganography
TL;DR: This work derives jointly optimal signature and linear processor designs for SS embedding in linearly modified transform domain host data and demonstrates orders of magnitude improvement over current SS steganographic practices.
Journal ArticleDOI
Extracting Spread-Spectrum Hidden Data From Digital Media
TL;DR: A novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarriers spread-spectrum embedding is developed.