Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Dynamic, noisy channel deconvolution: A model based approach
Michael J. Roan
, Mark Gramann
Mechanical Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dynamic, noisy channel deconvolution: A model based approach'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Deconvolution
100%
Model-based Approach
100%
Noisy Channel
100%
Original Contributions
33%
Copyright
33%
Recovery Performance
33%
Real-world Systems
33%
Signal Recovery
33%
Gradient-based
33%
Extended Kalman Filter
33%
Processing Framework
33%
Processing Algorithm
33%
Signal Model
33%
Static Channel
33%
Multipath Propagation Environment
33%
Stationary Signal
33%
Natural Gradient
33%
Computer Science
Blind Deconvolution
100%
Priori Information
66%
Extended Kalman Filter
66%
Processing Algorithm
33%
Engineering
Multipath Propagation Environment
33%