Ankara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent Univ., 1993.Thesis (Master's) -- Bilkent University, 1993.Includes bibliographical references leaves 121-125In this thesis, the combinatorial optimization algorithm known as simulated annealing
(SA) is applied to the solution of the next-state map design problem of
data compression systems based on finite-state machine decoders. These data
compression systems which include finite-state vector ciuantization (FSVQ),
trellis waveform coding (TWC), predictive trellis waveform coding (PTWC),
and trellis coded quantization (TCQ) are studied in depth. Incorporating generalized
Lloyd algorithm for the optimization of output map to SA, a finite-state
machine decoder design algorithm for the joint optimization of output map
and next-state map is constructed. Simulation results on several discrete-time
sources for FSVQ, TWC and PTWC show that decoders with higher performance
are obtained by the SA-I-CLA algorithm, when compared to other
related work in the literature. In TCQ, simulation results are obtained for
sources with memory and new observations are made.Kuruoğlu, Ercan EnginM.S
