Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reconfigurable implementation of distributed arithmetic (DA) for post-processing applications is described. The input of DA is received in digital form and its analog coefficients are set by using the floating-gate voltage references. The effect of the offset and gain errors on DA computational accuracy is analyzed, and theoretical results for the limitations of this design strategy are presented. This architecture is fabricated in a 0.5-mum CMOS process, and configured as a 16-tap finite impulse response (FIR) filter to demonstrate the reconfigurability and computational efficiency. The measurement results for comb, low-pass, and bandpass filters at 32/50-kHz sampling frequencies are presented. This implementation occupies around 1.125 mm 2  of die area and consumes 16 mW of static por. The filter order can be increased at the cost of 0.011 mm 2  of die area and 0.02 mW of por per tap.
['Erhan Ozalevli', 'Walter Huang', 'Paul E. Hasler', 'David V. Anderson']
I am writing a research paper on a idea A Reconfigurable Mixed-Signal VLSI Implementation of Distributed Arithmetic Used for Finite-Impulse Response Filtering
[{"from": "human", "value": "I am writing a research paper on a idea A Reconfigurable Mixed-Signal VLSI Implementation of Distributed Arithmetic Used for Finite-Impulse Response Filtering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reconfigurable implementation of distributed arithmetic (DA) for post-processing applications is described. The input of DA is received in digital form and its analog coefficients are set by using the floating-gate voltage references. The effect of the offset and gain errors on DA computational accuracy is analyzed, and theoretical results for the limitations of this design strategy are presented. This architecture is fabricated in a 0.5-mum CMOS process, and configured as a 16-tap finite impulse response (FIR) filter to demonstrate the reconfigurability and computational efficiency. The measurement results for comb, low-pass, and bandpass filters at 32/50-kHz sampling frequencies are presented. This implementation occupies around 1.125 mm 2  of die area and consumes 16 mW of static por. The filter order can be increased at the cost of 0.011 mm 2  of die area and 0.02 mW of por per tap."}]