Complexity-Aware Quantization and Lightweight VLSI Implementation of FIR Filters
| Autor: | Chih-Wei Liu, Yu-Ting Kuo, Tay-Jyi Lin |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Very-large-scale integration
Theoretical computer science Finite impulse response Computer science Quantization (signal processing) lcsh:Electronics lcsh:TK7800-8360 lcsh:Telecommunication Filter design Computer engineering Hardware and Architecture lcsh:TK5101-6720 Signal Processing Electrical and Electronic Engineering Hardware_ARITHMETICANDLOGICSTRUCTURES |
| Zdroj: | EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011) |
| ISSN: | 1687-6180 |
| Popis: | 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%~ 51% additions of the filters with 2's complement coefficients and 10%~ 20% of those with conventional signed-digit representations for comparable quantization errors. Moreover, the bit-serialization can reduce 33%~ 35% silicon area for less timing-critical applications. |
| Databáze: | OpenAIRE |
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