Showing papers by "Russell M. Mersereau published in 1976"
TL;DR: 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.
222 citations
TL;DR: In this article, an approach to the implementation of a linear phase finite impulse response filter for which the cutoff frequency is controlled through a small number of parameters is discussed. The approach is based on a transformation implemented by replacing a subnetwork in a prototype network.
Abstract: This paper discusses an approach to the Implementation of a linear phase finite impulse response filter for which the cutoff frequency is controlled through a small number of parameters. The approach is based on a transformation implemented by replacing a subnetwork in a prototype network.
120 citations
TL;DR: A family of 2-D structures is presented for implementing2-D FIR digital filters designed by means of a transformation of a 1-D design that are computationally efficient for filters up to degree 50 x 50 and straightforward to program or build in hardware.
Abstract: A family of 2-D structures is presented for implementing 2-D FIR digital filters designed by means of a transformation of a 1-D design. These implementations are computationally efficient for filters up to degree 50 x 50 and are straightforward to program or build in hardware. Many details of the implementations are discussed such as its susceptibility to coefficient quantization and arithmetic roundoff. A comparison is made between these implementations and other implementations for 2-D FIR filters.
71 citations
01 Jan 1976
TL;DR: 2-D digital filters are also becoming more useful in the processing of sequential data derived from multidimensional arrays as encountered in geophysical exploration, earthquake/nuclear test detection, sonar, radar, and radio astronomy.
Abstract: WO-DIMENSIONAL (2-D) digital filters have found numerous applications within the larger context of 2-D digital signal processing. In the area of computer image processing, for example, they are used for the enhancement of low-quality images such as X-ray photographs and for the compensation of linear optical degradations. They are also used for preprocessing data in 2-D pattern recognition systems. They have found uses in nonlinear filtering strategies for dynamic range reduction and contrast enhancement and as prefilters in various schemes for picture encoding. 2-D digital filters are also becoming more useful in the processing of sequential data derived from multidimensional arrays as encountered in geophysical exploration, earthquake/nuclear test detection, sonar, radar, and radio astronomy. Such filtering has always
2 citations