A High-Accuracy Adaptive Conditional-Probability Estimator for Fixed-Width Booth Multipliers

作者：Chen Yuan Ho^*; Chang Tsin Yuan

来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2012, 59(3): 594-603.

DOI：10.1109/TCSI.2011.2167275

• Adaptive conditional-probability estimator (ACPE)
• Booth multiplier
• Discrete cosine transform (DCT)
• fixed-width

In this paper, a single compensation formula of adaptive conditional-probability estimator (ACPE) applied to fixed-width Booth multiplier is proposed. Based on the conditional- probability theory, the ACPE can be easily applied to large length Booth multipliers (such as 32-bit or larger) for achieving a higher accuracy performance. To consider the trade-off between accuracy and area cost, the ACPE provides varying column information w to adjust the accuracy with respect to system requirements. The 16-bit ACPE Booth multiplier with w = 3 reduces 28.9% silicon area with only 0.39 dB signal-to-noise ratio (SNR) loss when compared with post-truncated (P-T) Booth multiplier. Furthermore, the ACPE Booth multipliers are applied to two-dimensional (2-D) discrete cosine transform (DCT) to evaluate the system performance. Implemented in a TSMC 0.18 mu m CMOS process, the DCT core with ACPE (w = 3) can save 14.3% area cost with only 0.48 dB peak-signal-to-noise-ratio (PSNR) penalty compared to P-T method.

• 出版日期2012-3
• 单位清华大学