標題: Complexity-Aware Quantization and Lightweight VLSI Implementation of FIR Filters
作者: Kuo, Yu-Ting
Lin, Tay-Jyi
Liu, Chih-Wei
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 2011
摘要: The coefficient values and number representations of digital FIR filters have significant impacts on the complexity of their VLSI realizations and thus on the system cost and performance. So, making a good tradeoff between implementation costs and quantization errors is essential for designing optimal FIR filters. This paper presents our complexity-aware quantization framework of FIR filters, which allows the explicit tradeoffs between the hardware complexity and quantization error to facilitate FIR filter design exploration. A new common subexpression sharing method and systematic bit-serialization are also proposed for lightweight VLSI implementations. In our experiments, the proposed framework saves 49% similar to 51% additions of the filters with 2's complement coefficients and 10% similar to 20% of those with conventional signed-digit representations for comparable quantization errors. Moreover, the bit-serialization can reduce 33% similar to 35% silicon area for less timing-critical applications.
URI: http://hdl.handle.net/11536/25993
http://dx.doi.org/10.1155/2011/357906
ISSN: 1687-6172
DOI: 10.1155/2011/357906
期刊: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
顯示於類別:期刊論文


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