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In this paper, we propose two 2's-complement fixed-width Booth multipliers that can generate an n-bit product from an n-bit multiplicand and an n-bit multiplier. Compared with previous designs, our multipliers have smaller truncation error, less area, and smaller time delay in the critical paths. A four-step approach is adopted to search for the best errorcompensation bias in designing a multiplier suitable for VLSI implementation. Last but not least, we show the superior capability of our designs by inscribing it in a speech signal processor. Simulation results indicate that this novel design surpasses the previous fixed-width Booth multiplier in the precision of the product. An average error reduction of 65-84% compared with a direct-truncation fixed-width multiplier is achieved by adding only a few logic gates.

In this paper, we propose one low-computation cycle and power-efficient recursive discrete Fourier transform (DFT)/inverse DFT (IDFT) architecture adopting a hybrid of input strength reduction, the Chebyshev polynomial, and register-splitting schemes. Comparing with the existing recursive DFT/IDFT architectures, the proposed recursive architecture achieves a reduction in computation-cycle by half. Appling this novel low-computation cycle architecture, we could double the throughput rate and the channel density without increasing the operating frequency for the dual tone multi-frequency (DTMF) detector in the high channel density voice over packet (VoP) application. From the chip implementation results, the proposed architecture is capable of processing over 128 channels and each channel consumes 9.77 µW under 1.2 V@20 MHz in TSMC 0.13 1P8M CMOS process. The proposed VLSI implementation shows the power-efficient advantage by the low-computation cycle architecture.

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