DocumentCode
2533991
Title
Low power DSP´s for wireless communications
Author
Verbauwhede, Ingrid ; Nicol, Chris
Author_Institution
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fYear
2000
fDate
2000
Firstpage
303
Lastpage
310
Abstract
Wireless communications and more specifically, the fast growing penetration of cellular phones and cellular infrastructure are the major drivers for the development of new programmable Digital Signal Processors (DSP´s). In this tutorial, an overview is given of recent developments in DSP processor architectures, that makes them well suited to execute computationally intensive algorithms typically found in communications systems. DSP processors have adapted instruction sets, memory architectures and data paths to execute compute intensive communications algorithms efficiently and in a low power fashion. Basic building blocks include convolutional decoders (mainly the Viterbi algorithm), turbo coding algorithms, FIR filters, speech coders, etc. This is illustrated with examples of different commercial and research processors.
Keywords
FIR filters; Viterbi decoding; digital filters; digital signal processing chips; low-power electronics; programmable circuits; radio equipment; radiocommunication; telecommunication computing; DSP processor architectures; FIR filters; Viterbi algorithm; adapted instruction sets; communications systems; computationally intensive algorithms; convolutional decoders; data paths; digital signal processors; low power DSP; memory architectures; programmable DSPs; speech coders; turbo coding algorithms; wireless communications; Cellular phones; Computer aided instruction; Computer architecture; Convolutional codes; Digital signal processing; Digital signal processors; Instruction sets; Memory architecture; Signal processing algorithms; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Low Power Electronics and Design, 2000. ISLPED '00. Proceedings of the 2000 International Symposium on
Print_ISBN
1-58113-190-9
Type
conf
DOI
10.1109/LPE.2000.155303
Filename
876807
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