Intelligent Methods in Signal Processing and Communications

Inbunden, Engelska, 1997

560 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This volume contains 14 chapters covering intelligent techniques applied to signal processing and communications engineering problems. The chapters are based on a selection of topics presented at the 4th Bayona Workshop on Intelligent Methods in Signal Processing and Communications, held in Bayona, Vigo, Spain, in June 1996. The edited collection includes extended versions of six invited lectures, plus eight other contributions that seek to capture the complexity of these new techniques. Topics covered include: antenna arrays; spread spectrum; biometric identification; neural networks; and genetic algorithms.

Produktinformation

Utgivningsdatum:1997-05-01
Mått:155 x 235 x 23 mm
Vikt:676 g
Format:Inbunden
Språk:Engelska
Antal sidor:318
Upplaga:1997
Förlag:Birkhauser Boston Inc
ISBN:9780817639600

Utforska kategorier

Innehållsförteckning

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.