Title
Rate-distortion-optimal subband coding without perfect-reconstruction constraints
Abstract
We investigate the design of subband coders without the traditional perfect-reconstruction constraint on the filters. The coder uses scalar quantizers, and its filters and bit allocation are designed to optimize a rate-distortion criterion. Using convexity analysis, we show that optimality can be achieved using filterbanks that are the cascade of a (paraunitary) principal component filterbank for the input spectral process and a set of pre and postfilters surrounding each quantizer. Analytical expressions for the pre and postfilters are then derived. An algorithm for computing the globally optimal filters and bit allocation is given. We also develop closed-form solutions for the special case of two-channel coders under an exponential rate-distortion model. Finally, we investigate a constrained-length version of the filter design problem, which is applicable to practical coding scenarios. While the optimal filterbanks are nearly perfect-reconstruction at high rates, we demonstrate an apparently surprising advantage of optimal FIR filterbanks; they significantly outperform optimal perfect-reconstruction FIR filterbanks at all bit rates
Year
DOI
Venue
2001
10.1109/78.905876
Signal Processing, IEEE Transactions
Keywords
Field
DocType
FIR filters,channel bank filters,circuit optimisation,encoding,filtering theory,rate distortion theory,signal reconstruction,bit allocation,closed-form solutions,constrained-length filter design,convexity analysis,exponential rate-distortion model,globally optimal filters,high rates,input spectral process,optimal FIR filterbanks,optimal perfect-reconstruction FIR filterbanks,postfilters,prefilters,principal component filterbank,rate-distortion-optimal subband coding,scalar quantizers,subband coder design,two-channel coders
Signal processing,Mathematical optimization,Control theory,Filter bank,Sub-band coding,Quantization (signal processing),Finite impulse response,Rate–distortion theory,Mathematics,Signal reconstruction,Filter design
Journal
Volume
Issue
ISSN
49
3
1053-587X
Citations 
PageRank 
References 
6
0.53
11
Authors
4
Name
Order
Citations
PageRank
Mehmet Kivanç Mihçak126523.84
Pierre Moulin21345103.49
Mihai Anitescu342143.56
Kannan Ramchandran494011029.57