2006
DOI: 10.1109/tcsi.2005.856663
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3-D IIR filtering using decimated DFT-polyphase filter bank structures

Abstract: Kuenzle, Bernhard Kuenzle, B. (2005). 3D IIR filtering using decimated DFT-polyphase filter bank structures (Unpublished master's thesis).

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Cited by 23 publications
(4 citation statements)
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“…In previous work [9]- [12], the axis of the passband of cone filer banks may be oriented to point at the DOA. However, for radio astronomy applications having the requirement that the passband be circularly symmetric around the temporal frequency axis, a relatively simple 3-D cone filter bank architecture is described (first proposed in [14] and consisting of 1-D FIR filters and 2-D circularly symmetric FIR filters).…”
Section: Space-time Digital Filtering Of Radio Astronomical Signals Umentioning
confidence: 99%
“…In previous work [9]- [12], the axis of the passband of cone filer banks may be oriented to point at the DOA. However, for radio astronomy applications having the requirement that the passband be circularly symmetric around the temporal frequency axis, a relatively simple 3-D cone filter bank architecture is described (first proposed in [14] and consisting of 1-D FIR filters and 2-D circularly symmetric FIR filters).…”
Section: Space-time Digital Filtering Of Radio Astronomical Signals Umentioning
confidence: 99%
“…It is typically required, by subsequent beamforming operations, that the 3D cone filter have a linear phase transfer function. The 3D cone filters that proposed in [11][12] [13] do not have a linear phase transfer function and are therefore not used here.…”
Section: Broadband Mutually-coupled St Signals On the Antenna Arraymentioning
confidence: 99%
“…Three-dimensional (3-D) filters provide a convenient mechanism for the integration of the spatial and temporal axes into a coherent framework and offer a wide range of design alternatives 9 finite impulse response (FIR) or infinite impulse response (IIR), recursive or non recursive, with nominal pass-bands of arbitrary shape (e.g. plane, beam, wedge/fan 9,10,11 , pyramid 12 , cone 13 , donut 14 , etc.). While these filters have proven to be very effective in novel imaging, audio/acoustic and radio-frequency applications 9 , they offer rapidly diminishing returns when they are applied to the problem of foreground enhancement and background cancellation in infrared sensors, because typical scenes of interest are highly non-stationary, due to object edges/boundaries for instance.…”
Section: Introductionmentioning
confidence: 99%