Semidefinite programming for approximate maximum likelihood sinusoidal parameter estimation

DOI10.1155/2009/178785zbMath1192.94054OpenAlexW2158671104WikidataQ59218563 ScholiaQ59218563MaRDI QIDQ983740

H. C. So, Kenneth W. K. Lui

Publication date: 26 July 2010

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2009/178785

Mathematics Subject Classification ID

Convex programming (90C25) Estimation and detection in stochastic control theory (93E10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• SDPT3
• YALMIP

Cites Work

• Solving semidefinite-quadratic-linear programs using SDPT3
• Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization
• On Parameter Estimates of the Lossy Wave Equation
• Approximation Bounds for Semidefinite Relaxation of Max-Min-Fair Multicast Transmit Beamforming Problem

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