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Trellis quantization is a finite state machine based method for data compression. It is mainly applied to quantizing noise-like sources. In this thesis new trellis codes suitable for low rate quantization are derived. Rate-distortion theory predicts source coding performance, but unfortunately provides only limited insight in how to construct good codes. In general, good trellis source codes combi
