Die Sprache ist und bleibt unser natürlichstes und wichtigstes Kommunikationsmittel, selbst im Zeitalter des Internet und drahtloser Datenübermittlung. Aus diesem Buch lernen Sie die wichtigsten Prinzipien drahtloser Sprachübermittlung, darunter Kompression, Kanalcodierung und Übertragung, sowohl aus historischer als auch aus aktueller Sicht. Erläutert werden proprietäre und standardisierte Codes, darunter die Sprachcodes nahezu aller drahtlosen und drahtgebundenen Systeme. Auf diesen Grundlagen können Sie aufbauen!
Die Sprache ist und bleibt unser natürlichstes und wichtigstes Kommunikationsmittel, selbst im Zeitalter des Internet und drahtloser Datenübermittlung. Aus diesem Buch lernen Sie die wichtigsten Prinzipien drahtloser Sprachübermittlung, darunter Kompression, Kanalcodierung und Übertragung, sowohl aus historischer als auch aus aktueller Sicht. Erläutert werden proprietäre und standardisierte Codes, darunter die Sprachcodes nahezu aller drahtlosen und drahtgebundenen Systeme. Auf diesen Grundlagen können Sie aufbauen!
Lajos Hanzo has been with the Department of Electronics and Computer Science, University of Southampton, UK, since 1986 where he holds the Chair in Telecommunications. He received his degree in electronics in 1976 and his doctorate in 1983. During his career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK. Lajos is a Fellow of the IEEE and the IEE as well as an IEEE Distinguished Lecturer. He has co-authored 11 books on mobile radio communications, published over 500 research papers and been awarded a number of distinctions. Clare Somerville received M.Eng and Ph.D degrees in Electronic Engineering in 1995 and 1999, respectively, from the University of Southampton. From 1995 to 1998 she performed research into low bit rate speech coders for wireless communications. Following a spell of research with the Global Wireless Systems Research department, Bell Laboratories, Swindon, U.K, she moved to PicoChip in Bath, UK. Her current research involves real-time services over wireless networks with a packet air interface. Jason Woodard received an MA in Physics from the University of Oxford in 1991, then an MSc in Electronics and a PhD in Speech Coding from the University of Southampton in 1992 and 1995 respectively. From 1995 to 1998 he worked as a Research Fellow at the University of Southampton, researching error correction coding, especially turbo codes. In 1998 he joined the Wireless Technology Practice at PA Consulting Group in Cambridge. At the start of 1999 he was transferred from PA to UbiNetics Ltd, where he is responsible for the development and implementation of bit rate processing algorithms, including turbo codes, for 3rd Generation mobile communications products.
Inhaltsangabe
About the Authors. Other Wiley and IEEE Press Books on Related Topics. Preface and Motivation. Acknowledgements. I Speech Signals andWaveform Coding. 2 Predictive Coding. 3 Analysis-by-synthesis Principles. 4 Speech Spectral Quantization. 5 RPE Coding. 6 Forward-Adaptive CELP Coding. 7 Standard CELP Codecs. 8 Backward-Adaptive CELP Coding. 9 Wideband Speech Coding. 10 MPEG-4 Audio Compression and Transmission. 11 Overview of Low-rate Speech Coding. 12 Linear Predictive Vocoder. 13 Wavelets and Pitch Detection. 14 Zinc Function Excitation. 15 Mixed-Multiband Excitation. 16 Sinusoidal Transform Coding Below 4kbps. 17 Conclusions on Low Rate Coding. 18 Comparison of Speech Transceivers. 19 Voice Over the Internet Protocol. A Constructing the Quadratic Spline Wavelets. B Zinc Function Excitation. C Probability Density Function for Amplitudes. Bibliography. Index. Author Index.
About the Authors. Other Wiley and IEEE Press Books on Related Topics. Preface and Motivation. Acknowledgements. I Speech Signals andWaveform Coding. 2 Predictive Coding. 3 Analysis-by-synthesis Principles. 4 Speech Spectral Quantization. 5 RPE Coding. 6 Forward-Adaptive CELP Coding. 7 Standard CELP Codecs. 8 Backward-Adaptive CELP Coding. 9 Wideband Speech Coding. 10 MPEG-4 Audio Compression and Transmission. 11 Overview of Low-rate Speech Coding. 12 Linear Predictive Vocoder. 13 Wavelets and Pitch Detection. 14 Zinc Function Excitation. 15 Mixed-Multiband Excitation. 16 Sinusoidal Transform Coding Below 4kbps. 17 Conclusions on Low Rate Coding. 18 Comparison of Speech Transceivers. 19 Voice Over the Internet Protocol. A Constructing the Quadratic Spline Wavelets. B Zinc Function Excitation. C Probability Density Function for Amplitudes. Bibliography. Index. Author Index.
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