Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion

Sunder S. Kidambi; Ravi P. Ramachandran

doi:10.1016/0165-1684(95)00036-D

Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion

Sunder S. Kidambi
, Ravi P. Ramachandran

Research output: Contribution to journal › Article › peer-review

Abstract

A method is described which can be used to design two-dimensional nonrecursive linear-phase filters. The approach is based on formulating the mean-square error between the amplitude responses of the practical and ideal digital filters as a quadratic function. The coefficients of the filters are obtained by solving a set of linear equations. This method leads to a lower mean-square error and is computationally more efficient than the eigenfilter method.

Original language	English (US)
Pages (from-to)	361-367
Number of pages	7
Journal	Signal Processing
Volume	44
Issue number	3
DOIs	https://doi.org/10.1016/0165-1684(95)00036-D
State	Published - Jul 1995
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/0165-1684(95)00036-D

Cite this

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title = "Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion",

abstract = "A method is described which can be used to design two-dimensional nonrecursive linear-phase filters. The approach is based on formulating the mean-square error between the amplitude responses of the practical and ideal digital filters as a quadratic function. The coefficients of the filters are obtained by solving a set of linear equations. This method leads to a lower mean-square error and is computationally more efficient than the eigenfilter method.",

author = "Kidambi, \{Sunder S.\} and Ramachandran, \{Ravi P.\}",

year = "1995",

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AU - Kidambi, Sunder S.

AU - Ramachandran, Ravi P.

PY - 1995/7

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N2 - A method is described which can be used to design two-dimensional nonrecursive linear-phase filters. The approach is based on formulating the mean-square error between the amplitude responses of the practical and ideal digital filters as a quadratic function. The coefficients of the filters are obtained by solving a set of linear equations. This method leads to a lower mean-square error and is computationally more efficient than the eigenfilter method.

AB - A method is described which can be used to design two-dimensional nonrecursive linear-phase filters. The approach is based on formulating the mean-square error between the amplitude responses of the practical and ideal digital filters as a quadratic function. The coefficients of the filters are obtained by solving a set of linear equations. This method leads to a lower mean-square error and is computationally more efficient than the eigenfilter method.

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UR - https://www.scopus.com/pages/publications/0029343494#tab=citedBy

U2 - 10.1016/0165-1684(95)00036-D

DO - 10.1016/0165-1684(95)00036-D

M3 - Article

AN - SCOPUS:0029343494

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EP - 367

JO - Signal Processing

JF - Signal Processing

IS - 3

ER -

Design of two-dimensional linear-phase nonrecursive filters using a least-squares criterion

Abstract

All Science Journal Classification (ASJC) codes

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