DocumentCode :
1509239
Title :
On the derivatives of the homomorphic transform operator and their application to some practical signal processing problems
Author :
Goodman, Dennis M.
Author_Institution :
Lawrence Livermore Nat. Lab., California Univ., Livermore, CA, USA
Volume :
78
Issue :
4
fYear :
1990
fDate :
4/1/1990 12:00:00 AM
Firstpage :
642
Lastpage :
651
Abstract :
The derivatives of the homomorphic transform operator and its inverse are obtained with Banach algebra techniques. The derivatives can be applied to two important practical problems. The first problem involves a standard method for designing recursive multidimensional digital filters. The method uses spectral factorization or Hilbert transform methods to stabilize a given weighting sequence without changing its magnitude response in the frequency domain. The derivatives of the stabilization process are required by the design algorithm. The derivatives of the homomorphic transform, together with the chain rule for Frechet derivatives, can be used to calculate the derivatives of stabilization analytically. The second problem is the analysis of homomorphic deconvolution techniques in the presence of additive disturbances. The fact that the homomorphic transform maps convolution to addition makes it very useful in certain blind deconvolution problems. However, the highly nonlinear nature of the homomorphic transform complicates analysis of the effects of additive disturbances. In most practical applications, the presence of additive measurement noise is to be expected. The derivatives obtained in this paper are shown to be very useful in obtaining approximations of the effects of additive disturbances
Keywords :
filtering and prediction theory; multidimensional digital filters; signal processing; transforms; Banach algebra techniques; Frechet derivatives; Hilbert transform; additive disturbances; blind deconvolution problems; chain rule; frequency domain; homomorphic deconvolution techniques; homomorphic transform operator; magnitude response; recursive multidimensional digital filters; signal processing; spectral factorization; weighting sequence; Additive noise; Algebra; Algorithm design and analysis; Convolution; Deconvolution; Design methodology; Digital filters; Frequency domain analysis; Multidimensional systems; Noise measurement;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.54804
Filename :
54804
Link To Document :
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