NDLI: Quantification of Finite Word Length Effects in Filter Banks and Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Snehal, G. Srikanth, T.
Copyright Year	2006
Description	Author affiliation: Int. Inst. of inf. Technol., Pune (Snehal, G.; Srikanth, T.)
Abstract	It is known that computers store numbers not with infinite precision but rather in some approximation that can be packed into a fixed number of bits, and this leads to loss of information. Present work studies the effect of loss of information on the response of filter banks and Wavelet transform. These effects are universally called Finite word length effects. There are number of effects of finite word length like overflow and truncation errors in addition, and multiplication, effects of coefficient quantization, limit cycle, etc. Present focus is on coefficient quantization. To see Finite word length effects in filter banks and Wavelet transform authors have used algorithm in which image has been first wavelet transformed and again constructed back using quantized coefficients. Pyramidal algorithm with DAUB4 wavelet has been used. Simulation for both direct quantization of DAUB4 coefficients and equivalent lattice coefficients quantization has been performed. All simulations are done in C.
Starting Page	331
Ending Page	334
File Size	275466
Page Count	4
File Format	PDF
ISBN	142440715X
DOI	10.1109/ADCOM.2006.4289910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Wavelet transform Lattices Quantization Coefficient quantization Quadrature mirror filter bank (QMF) Image reconstruction Limit-cycles Signal processing algorithms Signal processing Finite impulse response filter lattice structure Filter bank Mirrors
Content Type	Text
Resource Type	Article

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