Graduate Thesis Or Dissertation
 

Sensitivity analysis and architectural comparison of narrow-band sharp-transition digital filters

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  • 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.
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