Circuits and Systems for Wireless Communications

Part V: DSP for Wireless Communications

CHAPTER LIST

Chapter 20: DSP for Wireless Communications
Chapter 21: Efficient Design Flow For Fixed-Point Systems
Chapter 22: R.E.A.L. DSP Reconfigurable Embedded DSP Architecture For Low-Power/Low-Cost Telecom Baseband Processing
Chapter 23: Dedicated Vlsi Architectures for Adaptive Interference Suppression in Wireless Communication Systems
Chapter 24: Evolution of Speech Coding For Wireless Communications A system standard the AMR (Adaptive Multi Rate codec)
Chapter 25: Digital Signal Processing and Digital Signal Processors For Mobile Communications Basic Concepts and Trends
Urs Fawer Gertjan Kaat,
Philips Semiconductors AG Binzstrasse 44
CH-8045 Z rich, Switzerland

20.1 INTRODUCTION TO THE FOLLOWING PAPERS

[*]

Recently, wireless communication has turned into a very fast-growing market. GSM [2] gives a good example with a total number of 135 million users world-wide by the end of 1998, of which 65 million new customers subscribed in the last year. This impressive growth is based on the underlying technologies. The latter are the topic of this part: the study of complex communication functionality and related algorithms as well as their realization in hardware and software.

Digital Signal Processors (DSPs) are a key component for implementing communication algorithms. Very often, we encounter embedded DSP cores where the DSP is integrated on a silicon chip together with a controller core, memories, hardware accelerators, and dedicated periphery blocks. For many algorithms, the DSP represents the essential block in the implementation, e.g. voice codecs, channel equalizers, error correction, encryption, interference suppression, multi-channel and multi-beam reception as well as additional features like voice recognition. DSP performance is often measured in terms of...

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