- Bayesian Multiple Target Tracking, Second Edition
- Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
- Deep Learning with Python
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
- Kalman Filter for Beginners: with MATLAB Examples
- Design and Analysis of Modern Tracking Systems (Artech House Radar Library)
- Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
- Deep Learning (Adaptive Computation and Machine Learning)
- Fundamentals of Radar Signal Processing, Second Edition (McGraw-Hill Professional Engineering)
[ BEYOND THE KALMAN FILTER: PARTICLE FILTERS FOR TRACKING APPLICATIONS (ARTECH HOUSE RADAR LIBRARY (HARDCOVER)) ] By Ristic, Branko ( Author) 2004 [ Hardcover ]
📄 Viewing lite version
Full site ›
Book Details
PublisherArtech Print on Demand (2004-01-31)
ISBN / ASINB00IFGJF3E
ISBN-13978B00IFGJF33
AvailabilityUsually ships in 1-2 business days
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸