File(s) under permanent embargo
A stable feedback control of the buffer state using the controlled Lagrange multiplier method
We propose a stable feedback control algorithm of the buffer state using the controlled Lagrange multiplier in combined rate-distortion characteristics for a buffer-contrained adaptive quantization. The proposed algorithm is established using feedback control theory and is described by the state equation with nonlinearity in the feedback path. The nonlinearity of the state equation comes from the average distortion-rate curve of the information source. The stability of this buffer control algorithm is shown using Liapunov stability theory. It is shown that the stability of the algorithm depends on average distortion-rate curve and buffer size, and sufficient conditions for the algorithm to be stable are obtained from the usual average distortion-rate curve. In addition, it is observed from experimental results that the performance of the proposed algorithm and the optimal algorithm is not significantly different. Although the proposed algorithm does not provide optimal performance, the algorithm can be implemented easily with quite low computational complexity, as compared with others.
History
Journal
IEEE transactions on image processingVolume
3Issue
5Pagination
546 - 558Publisher
Institute of Electrical and Electronics EngineersLocation
Piscataway, N.J.Publisher DOI
ISSN
1057-7149eISSN
1941-0042Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
1994, IEEEUsage metrics
Keywords
Feedback controlNonlinear equationsStabilityLangrangian functionsRate-distortionProgrammable controlAdaptive controlQuantizationState feedbackLyapunov methodScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringMEMORYLESS SOURCESArtificial Intelligence and Image Processing