1 The Fine-McMillan Recursive Quantizer Model. - 1. 1 Source Channel Reproduction. - 1. 2 The Linear Deltamodulator. - 1. 3 The Definition of a Fine-McMillan Recursive Quantizer. - 1. 4 The Design Problem. - 1. 5 The Simple Quantizer. - 1. 6 Theoretical Limits with Given Channel Capacity. - 2 Structural and Design Problems of a Recursive Quantizer. - 2. 1 The McMillan Structure Problem. - 2. 2 Fine's Principle of Minimum Search. - 2. 3 The Principle of Minimum Search and the Property of Equimemory. - 2. 4 Optimality and the EM Propertythe McMillan Structure Theorem. - 2. 5 Strong-optimality MS and EM Propertiesthe Reformulation of the McMillan Structure Theorem. - 2. 6 The Proof of the Structure Theorem. - 2. 7 Feed-forward Design for the Causal Case. - 2. 8 Trellis Coders in Delayed Recursive Quantizers. - 3 Differential Predictive Quantizers. - 3. 1 Additive Decoding. - 3. 2 Additive Decoding MS and EM Propertiesthe Definition of the Differential Predictive Quantizer. - 3. 3 A Misunderstanding Concerning the Predictor. - 3. 4 Additive Decoding and the Feed-forward Principle. - 4 Design ExamplesSpeech Compression. - 4. 1 The Stationary Model of Speech. - 4. 2 The Design of a DPC. - 4. 3 The Design of a Fine-McMillan Type RQ. - References. - Appendix 1. - Appendix 2. - Appendix 3. Language: English