1 Adaptive Antenna Arrays in Mobile Communications. - 1. 1 Introduction. - 1. 2 Adaptive Arrays in Base Station Antennas. - 1. 3 Adaptive Array Details. - 1. 4 LMS Adaptive Array Examples. - 1. 5 Desired Signal Availability. - 1. 6 Discussion and Observations. - 1. 7 References. - 2 Demodulation in the Presence of Multiuser Interference: Progress and Misconceptions. - 2. 1 Introduction. - 2. 2 Single-user Matched Filter. - 2. 3 Optimum Multiuser Detection. - 2. 4 Linear Multiuser Detection. - 2. 5 Decision-based Multiuser Detection. - 2. 6 Noncoherent Multiuser Detection. - 2. 7 Multiuser Detection combined with Array Processing. - 2. 8 Multiuser Detection with Error Control Coded Data. - 2. 9 References. - 3 Intelligent Signal Detection. - 3. 1 Introduction. - 3. 2 Three Basic Elements Of The Intelligent Detection System. - 3. 3 Neural Network-Based Two-Channel Receiver. - 3. 4 Rationale For The Modular Detection Strategy. - 3. 5 Case Study. - 3. 6 Summary And Discussion. - 3. 7 References. - 4 Biometric Identification for Access Control. - 4. 1 Introduction. - 4. 2 Feature Extraction for Biometric Identification. - 4. 3 Pattern Classification for Biometric Identification. - 4. 4 Probabilistic Decision-Based Neural Network. - 4. 5 Biometric Identification by Human Faces. - 4. 6 Biometric Identification by Palm Prints. - 4. 7 Concluding Remarks. - 4. 8 References. - 5 Multidimensional Nonlinear Myopic Maps Volterra Series and Uniform Neural-Network Approximations. - 5. 1 Introduction. - 5. 2 Approximation of Myopic Maps. - 5. 3 Appendices. - 5. 4 References. - 6 Monotonicity: Theory and Implementation. - 6. 1 Introduction. - 6. 2 Representation of hints. - 6. 3 Monotonicity hints. - 6. 4 Theory. - 6. 5 Conclusion. - 6. 6 References. - 7 Analysis and Synthesis Tools for Robust SPRness. - 7. 1 Introduction. - 7. 2 SPR Analysis of Uncertain Systems. - 7. 3 Synthesis of LTI Filters for Robust SPR Problems. - 7. 4 Experimental results. - 7. 5 Conclusions. - 7. 6 References. - 8 Boundary Methods for Distribution Analysis. - 8. 1 Introduction. - 8. 2 Motivation. - 8. 3 Boundary Methods as Feature-Set Evaluation. - 8. 4 Boundary Methods as a Sample-Pruning (SP) Mechanism. - 8. 5 Boundary Methods as Fisher's Linear Discriminant (FLD). - 8. 6 Conclusions. - 8. 7 Apendix: Proof of the Theorem Relating FLD and Boundary Methods. - 8. 8 References. - 9 Constructive Function Approximation: Theory and Practice. - 9. 1 Introduction. - 9. 2 Overview of Constructive Approximation. - 9. 3 Constructive Solutions. - 9. 4 Limits and Bounds of the Approximation. - 9. 5 The Sigmoidal Class of Approximators. - 9. 6 Practical Considerations. - 9. 7 Conclusions. - 9. 8 Acknowledgments. - 9. 9 References. - 10 Decision Trees Based on Neural Networks. - 10. 1 Introduction. - 10. 2 Adaptive modular classifiers. - 10. 3 A survey on tree classification. - 10. 4 Neural Decision Trees. - 10. 5 Hierarchical mixtures of experts. - 10. 6 Lighting the hidden variables. - 10. 7 Conclusions. - 10. 8 References. - 11 Applications of Chaos in Communications. - 11. 1 Introduction. - 11. 2 Deterministic dynamical systems and chaos. - 11. 3 Chua's oscillator: a paradigm for chaos. - 11. 4 Periodicity quasiperiodicity and chaos. - 11. 5 Applications of chaos in communications. - 11. 6 Digital communication. - 11. 7 Spreading. - 11. 8 Chaotic synchronization: state of the art. - 11. 9 Chaotic modulation: state of the art. - 11. 10Chaotic demodulation: state of the art. - 11. 11Additional considerations. - 11. 12Engineering challenges. - 11. 13References. - 12 Design of Near PR Non-Uniform Filter Banks. - 12. 1 Introduction. - 12. 2 The MPEG audio coder. - 12. 3 Non-uniform filter banks with rational sampling factors. - 12. 4 Examples of non-uniform filterbanks design. - 12. 5 Conclusions. - 12. 6 References. - 13 Source Coding of Stereo Pairs. - 13. 1 Introduction. - 13. 2 Stereo Image Coding. - 13. 3 The Subspace Projection Technique. - 13. 4 Experimental Results. - 13. 5 Conclusion. - 13. 6 References. - 14 Design Methodology for VLSI Implementation of Image and Video Coding Algorithms A Case Study. - 14. 1 Introduction. - 14. 2 JPEG Baseline Algorithm. - 14. 3 High Level Modeling. - 14. 4 VLSI Architectures. - 14. 5 Bit-true Level Modeling. - 14. 6 Layout Design. - 14. 7 Results. - 14. 8 Conclusions. - 14. 9 Acknowledgements. - 14. l0 References. Language: English