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Journal ArticleDOI

McClellan transformations for two-dimensional digital filtering-Part I: Design

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TLDR
In this article, the design of two-dimensional linear-phase FIR digital filters by transformations of one-dimensional (l-D) filters was discussed, using a technique first presented by McClellan.
Abstract
This paper discusses the design of two-dimensional (2-D) linear-phase FIR digital filters by transformations of one-demensional (l-D) filters, using a technique first presented by McClellan. His original transformations are generalized and several algorithms are presented for the design of the generalized transformations. Examples are included to demonstrate, the versatility of the design method.

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Citations
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Proceedings ArticleDOI

Convergence Properties Of A Constrained 2-D Adaptive Digital Filter

TL;DR: A new adaptive 2-D digital filter is presented in which the filter is deterniined by a 1-D FIR prototype, and hence the computational complexity of the coefficient up-date algorithm has an order of complexity O(M), rather than O( M/sup 2/).
Proceedings ArticleDOI

A multi-layer 2D adaptive filtering architecture based on McClellan transformation

TL;DR: A fully pipelined systolic array structure for multidimensional adaptive filtering is proposed, which utilizes the McClellan transformation (MT) to reduce the total number of parameters used in the 2D filter.
Journal ArticleDOI

Implementation of 2D explicit depth extrapolation FIR digital filters for 3D seismic volumes using singular value decomposition

TL;DR: In this article, the authors proposed a new scheme for implementing predesigned 2D complex-valued wavefield extrapolation finite impulse response FIR digital filters, which are used for extrapolating 3D seismic wavefields.
Proceedings ArticleDOI

Fast calculation of the coefficients of the generalized McClellan transform in 2-D FIR filter design

TL;DR: An approach for the evaluation of the coefficients of the generalized McClellan transform is presented in order to design 2-D finite impulse response (FIR) filters with arbitrarily shaped frequency responses.
Proceedings ArticleDOI

Design of FIR filters to complex frequency response specifications

R. Kurth
TL;DR: It is shown that the design of FIR digital filters for a general class of phase-magnitude error tolerance specifications is equivalent to the requirements for minimax synthesis of a particular two-dimensional linear-phase FIR filter.
References
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Journal ArticleDOI

Digital reconstruction of multidimensional signals from their projections

TL;DR: A tutorial review of the reconstruction problem and some of the algorithms which have been proposed for its solution, and a number of new algorithms that appear to have some advantages over previous algorithms are presented.
Journal ArticleDOI

The importance of phase in image processing filters

TL;DR: It is demonstrated that phase accuracy is extremely important in image processing filters and the hope is that more work will be done on the development of filter design techniques which use phase as well as magnitude specifications.
Journal ArticleDOI

Two-dimensional digital filtering

TL;DR: The problems of designing and implementing LSI systems for the processing of 2-D digital data, such as images or geophone arrays, are reviewed and discussed.
Journal ArticleDOI

Two-dimensional windows

TL;DR: It is shown that good two-dimensional windows can be obtained by rotating good one- dimensional windows, that is, if w(x) is a good symmetrical one-dimensional window, then w sub 2(x,y) = w(square root of (x squared + y squared)) is aGood circularly symmetrical two- dimensional window.
Journal ArticleDOI

Design techniques for two-dimensional digital filters

TL;DR: The theory for designing finite-duration impulse response (FIR) digital filters can readily be extended to two or more dimensions using linear programming techniques, and several of the issues involved in designing two-dimensional digital filters are discussed in this article.
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