DocumentCode :
2116367
Title :
Minimum MSE Filter Banks Design Using Correlated Signal Dependent Quantization Noise Model
Author :
Hjørungnes, Are
Author_Institution :
Univ. of Oslo, Oslo
fYear :
2007
fDate :
27-29 Sept. 2007
Firstpage :
63
Lastpage :
68
Abstract :
A theory is proposed for how to design minimum mean square error (MSE) filter banks for lossy source coding when uniform quantizers and ideal entropy coding are used to compress the subband signals. A signal-dependent correlation model is used to find the auto and cross correlation between the additive quantization noise within the same subband and across different subbands. This theory also shows how to find the cross correlation between the original time-series and the additive quantization noise. The simulation results show that the proposed way of designing the filter banks outperforms the minimum MSE performance results found by using the classical signal independent high-rate quantization noise model.
Keywords :
filters; mean square error methods; quantisation (signal); source coding; additive quantization noise; lossy source coding; minimum MSE filter banks; minimum mean square error filter; quantization noise model; signal compression; signal-dependent correlation; Additive noise; Autocorrelation; Colored noise; Entropy coding; Filter bank; Mean square error methods; Noise generators; Quantization; Signal design; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on
Conference_Location :
Istanbul
ISSN :
1845-5921
Print_ISBN :
978-953-184-116-0
Type :
conf
DOI :
10.1109/ISPA.2007.4383665
Filename :
4383665
Link To Document :
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