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
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