M
Miodrag Bolic
Researcher at University of Ottawa
Publications - 209
Citations - 4789
Miodrag Bolic is an academic researcher from University of Ottawa. The author has contributed to research in topics: Particle filter & Radio-frequency identification. The author has an hindex of 31, co-authored 199 publications receiving 4161 citations. Previous affiliations of Miodrag Bolic include State University of New York System & Ottawa University.
Papers
More filters
Journal ArticleDOI
Resampling Methods for Particle Filtering: Classification, implementation, and strategies
TL;DR: The state of the art of resampling methods was reviewed and the methods were classified and their properties were compared in the framework of the proposed classifications to provide guidelines to practitioners and researchers.
Journal ArticleDOI
Resampling algorithms and architectures for distributed particle filters
TL;DR: The proposed algorithms improve the scalability of the filter architectures affected by the resampling process and reduce communication through the interconnection network is reduced and made deterministic, which results in simpler network structure and increased sampling frequency.
Journal ArticleDOI
Resampling algorithms for particle filters: a computational complexity perspective
TL;DR: Newly developed resampling algorithms for particle filters suitable for real-time implementation that reduce the complexity of both hardware and DSP realization through addressing common issues such as decreasing the number of operations and memory access are described.
BookDOI
RFID Systems: Research Trends and Challenges
TL;DR: This book provides an insight into the 'hot' field of Radio Frequency Identification (RFID) Systems with an emphasis on networking aspects and research challenges related to passive Ultra High Frequency (UHF) RFID systems.
Journal ArticleDOI
Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks
TL;DR: This article investigates recent research work and applications that integrate RFID with sensor networks, and four classes of integration are discussed: integrating tags with sensors, integrating tagged with WSN nodes and wireless devices, integrating readers with W SN nodes and mobile devices, and a mix of RFID and WSNs.