Due to advances in high-density low-cost VLSI and communication technology,
digital filtering and signal processing are being widely used for real-time signal processing
applications. Given the filter specification, choosing the best filter structure for a given
application is not a trivial task. The choice of a particular filter structure depends on many
factors such as sensitivity to finite word-length quantization effects, hardware complexity
and power consumption.
The objective of this thesis is to examine digital IIR (Infinite Impulse Response) filter
structures for the VLSI implementation of narrow-band sharp-transition filters. This thesis
examines several different digital IIR filter structures; namely cascade form IIR filter, five
different digital lattice filters and lattice wave digital filter structures. For fixed-point
implementation, the sensitivity, round-off noise properties and the scaling of these filter
structures are described and analyzed. These filter structures are compared with respect to
the architectural complexity, the sensitivity to coefficient quantization, the round-off noise
due to product quantization and the signal dynamic range. Fixed-point implementation
simulations using two's-complement arithmetic are carried out for a number of narrow-band
sharp-transition digital low-pass filters. / Graduation date: 1995
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/35234 |
| Date | 18 August 1994 |
| Creators | Kulkarni, Satish S. |
| Contributors | Kiaei, Sayfe |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0019 seconds