DocumentCode :
455058
Title :
Quantization and Sampling of Not Necessarily Band-Limited Signals
Author :
Derpich, Milan S. ; Quevedo, Daniel E. ; Goodwin, Graham C. ; Feuer, Arie
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW
Volume :
3
fYear :
2006
fDate :
14-19 May 2006
Abstract :
This paper presents novel results on the joint problem of sampling and quantization of non bandlimited signals. Existing literature typically focuses either on sampling in the absence of quantization, or, conversely, studies quantization for already sampled signals. Our emphasis here is on the issues that arise al the intersection of these two design problems. We argue that the joint problem can be formulated and solved to any desired level of accuracy, using moving horizon optimization methods. We present several examples which show that consideration of the combined sampling and quantization problem gives important performance gains, relative to strategies which don´t specifically address the interaction between these two problems
Keywords :
bandlimited signals; optimisation; quantisation (signal); signal sampling; band-limited signals quantization; band-limited signals sampling; moving horizon optimization methods; Bit rate; Computer science; Design optimization; Digital signal processing; Filters; Optimization methods; Performance gain; Quantization; Sampling methods; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660674
Filename :
1660674
Link To Document :
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