Bruton, Leonard T.Khademi, Leila2005-08-162005-08-1620040612975614http://hdl.handle.net/1880/41663Bibliography: p. 104-108Plane waves are an important class of multidimensional signals which are often en­countered in array signal processing applications such as, astronomy, radar/sonar, seismology, biomedical imaging, directional audio systems and wireless communica­tions. In many of these applications, it is of interest to selectively filter or enhance PWs on the basis of their space-time directions of arrival. A class of 2D/3D filters, commonly known as fan (velocity)/cone filters, has been extensively used in various fields of array signal processing applications to accomplish the above mentioned task. In this thesis two novel methods are proposed to reduce the computational complexity associated with the Finite Impulse Response (FIR) implementation of such filters. The first method takes into account the a priori knowledge of the dominant transients of fan/ cone impulse responses and the second method considers spatial undersampling as a means of complexity reduction. It is shown through simulation and numerical examples that both methods provide significant amount of computational savings.xii, 111 leaves : ill. ; 30 cm.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.master thesis10.11575/PRISM/16592AC1 .T484 2004 K439