Preface. Part I: Modulation and Coding. 1. Levinson-Durbin Algorithms Used for Fast BCH Decoding; M. Schmidt, G.P. Fettweis. 2. On the AMP Algorithm, Iterative Decoding and Turbo Codes; L. Zhang. 3. A Turbo-Coded, Low-Rate HF Radio Modem; L. Zhang, et al. 4. Evaluation of the Undetected Error Probability Interleaved Block Codes; H.J. Zepernick. 5. Effective Trellis Decoding Techniques for Block Codes; L.E. Aguado Bayón, P.G. Farrell. 6. On Header Forward Error Control in ATM Systems; A. Rieke, H.J. Zepernick. 7. An Alternative Multi Stage Sigma-Delta Modulator Circuit Suitable for Pulse Stuffing Synchronizers; S.S. Abeysekera. 8. Digital Pulse Interval Modulation: Spectral Behaviour; D.E. Kaluarachchi, Z. Ghassemlooy. 9. Block Multidimensional MPSK Modulation Codes with Unequal Error Protection; C.S.C.M. de Jesus, J. Portugheis. 10. A Frame Synchronisation Scheme for Turbo Codes; W. Zhang, et al. Part II: Channel Characterisation and Signal Detection. 11. Radio Channel Measurement Using a Novel Hybrid Simulation Approach; R. Weber. 12. A Study of VHF Troposcatter Communication Channels in South Australia; W. Zhang, et al. 13. Implementation of a Digital Frequency Selective Fading Simulator; X.F. Chen, K.S. Chung. 14. Measurements of Noise in the 2.3-2.5 GHz Band; T. Walker, et al. 15. On the Development of a Real Time Wide Band Channel Simulator for LEO Satellite Channels; M. Tykesson, et al. 16. Portable Channel Characterisation Sounder; M. Mossammaparast, et al. 17. A FlexibleDSP-Based System for Propagation Path Characterisation; M. Darnell, et al. 18. Non-Stationary, Narrowband Gaussian Signal Discrimination in Time-Frequency Space; G. Roberts, et al. 19. A New Delay Root&endash;Nyquist Filter Design Method for Signals Corrupted by ACI; L.P. Sabel, et al. 20. Adaptive CFAR Tests for Detection of a Signal in Noise and Deflection Criterion; N.A. Nechval. 21. Adaptive Signal Equalisation for Frequency Discriminator Output Signal in a Mobile Channel; B. Rohani, K.S. Chung. 22. Combination of a Viterbi Decoder with an Adaptive Neural Equaliser over a Rician Fading Channel; I. Soto, R.A. Carrasco. 23. Tracking Behaviour of Lattice Filters for Linear and Quadratic FM Signals; M.H. Kahaei, et al. Part III: System Design and Implementations. 24. Regularisation Procedures for Iterated Recursive Digital Filters; B.J. Phillips, et al. 25. On a Design of FIR Digital Filters with Equiripple Error Function; F. Wysocka-Schillak, T. Wysocki. 26. Establishment of Wide Sense Digital Filter for Wind Noise Cancellation in a Low Frequency Sound Measurement; S. Miyata, M. Ohta. 27. A Detailed Analysis of Phase Locked loops Used in Clock Jitter Reduction; S.S. Abeysekera, A. Cantoni. 28. A Novel Synchronisation Scheme for Spred Spectrum Communications; D.E. Gossink, S. Cook. 29. Reed&endash;Solomon Code (255,247,4) Decoder with TMS320C30; S. Le-Ngoc, Ying Ye. 30. An Optimised Implementation of Reed&endash;Solomon FEC on the PC; M.J. Riley, I.E.G. Richardson. 31. Development and Implementation of Robust and Spectrally Effici
Digital Signal Processing for Communication Systems examines the plans for the future and the progress that has already been made, in the field of DSP and its applications to communication systems. The book pursues the progression from communication and information theory through to the implementation, evaluation and performance enhancing of practical communication systems using DSP technology.
Digital Signal Processing for Communication Systems looks at various types of coding and modulation techniques, describing different applications of Turbo-Codes, BCH codes and general block codes, pulse modulations, and combined modulation and coding in order to improve the overall system performance. The book examines DSP applications in measurements performed for channel characterisation, pursues the use of DSP for design of effective channel simulators, and discusses equalization and detection of various signal formats for different channels. A number of system design issues are presented where digital signal processing is involved, reporting on the successful implementation of the system components using DSP technology, and including the problems involved with implementation of some DSP algorithms.
Digital Signal Processing for Communication Systems serves as an excellent resource for professionals and researchers who deal with digital signal processing for communication systems, and may serve as a text for advanced courses on the subject.
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